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    FAQ

    We have gathered the most frequently asked questions about Denmark’s Data Portal on this page. If you cannot find an answer to your question, you are welcome to contact Research Services at , forskningsservice@dst.dk, or by telephone +45 39 17 31 30. , We respond to emails within 2 working days, and our telephone hours are Monday from 1 p.m. until 3 p.m. and Tuesday through Friday from 10 a.m. until 12 noon.,  , See video guides on how to use Denmark’s Data Portal (in Danish),  , Login to Denmark’s Data Portal, I have entered my password incorrectly and have been locked out - how long will I be locked out?, Wait for 30 minutes and then try again., I have technical issues in Denmark’s Data Portal - who should I contact?, If you have technical issues or encounter errors in Denmark’s Data Portal, we would appreciate hearing about it, so that we can take corrective action. You can write directly to , DDVsupport@dst.dk, . Indicate your user, the relevant institution number and project number, if any, and describe the problem – preferably with a brief step-by-step explanation and matching screendumps. Then Denmark’s Data Portal Support will deal with the problem as soon as possible., I have problems logging in via remote.dst.dk - who should I contact?, If you have problems logging in via www.remote.dst.dk, please contact IT support in Statistics Denmark at , servicedesk@dst.dk, or telephone +45 39 17 38 00., Which browsers support Denmark’s Data Portal?, Google Chrome: Version 98 and upwards, Microsoft Edge: Version 97 and upwards, Firefox: Version 97 and upwards, IOS_Safari: 14 and upwards, Safari: Version 14 and upwards, Internet Explorer is not supported., Read more about Login in Denmark’s Data Portal, User roles, Allocation of project owner in Statistics Denmark, When you submit a new project to Research Services, a project owner will be allocated to you with whom you will have direct contact. We do our best to answer your enquiry as soon as possible., See the average response times,  , Who can edit user information in Denmark’s Data Portal?, The individual users can update their own user information in Denmark’s Data Portal. This could be relevant, e.g. if a user changes workplace and therefore needs to update his or her email address., If an association agreement must be terminated, this must be done either by the user, the institution administrator, the person responsible for authorisation or his or her substitute., Read more about user roles, Project proposal and data ordering, How do you make a project proposal in Denmark’s Data Portal?, Read how to make a project proposal in Denmark’s Data Portal, and find out which information should be included in a project proposal under , How to create a project proposal, ., Should I add all users to the project one by one?, Yes, all new users must be added one at a time., Where do I sign the project proposal?, Read how to sign a project proposal under , Signing the project proposal, ., Can I make changes in the project proposal after it has been sent to the administrator/Statistics Denmark?, No, once you have sent the project proposal to your administrator or to Statistics Denmark, you can no longer edit it. If your project owner in Statistics Denmark has questions or comments for the proposal, you have the opportunity to edit it, before you re-submit it., Can I associate users when the proposal has been sent to the administrator/Statistics Denmark?, No, once you have sent the project proposal to your administrator or to Statistics Denmark, you can no longer associate users. When the project proposal has been returned to you, either as approved or for revision, you can associate users again., Where can I get an overview of registers and see when they are updated?, In Denmark’s Data Portal, under ’Data content’ or at , danmarksdatavindue.dk, (does not require login), you can see all the registers that are part of the databank of basic data in Statistics Denmark. Here you can see when the registers were created (and will be closed, if relevant), and how often they are updated. Moreover, you can see which variables the register includes and find links to the variables documentation., Can I order not yet released data in Denmark’s Data Portal?, It is only possible to order not yet released data for project databases and the main and sub-projects of authority schemes., How do I get our own data added to my project?, Data that does not come from Statistics Denmark’s Database of basic data must be described broadly under ‘Additional data’ in the project proposal. Furthermore, a variable description is uploaded with an indication of the variables that must be pseudonymised. Read more about the requirements data must meet and how you upload data in practice under , Linking of additional data, ., Where in the process is my project proposal?, A project proposal changes status depending on where in the process the proposal is. Note that your project owner or the customer team in Statistics Denmark is not notified of your proposal until the administrator has sent it to Statistics Denmark., A proposal can have the following statuses:, Created, A project proposal has been created and is being prepared., Sent to administrator, The project proposal is ready for the administrator to read it., Sent to Statistics Denmark, The project proposal is ready and the administrator has sent it to Research Services. At this stage, a project owner is allocated, if a new project is concerned or a project with a previous employee in Research Services., Under review, The administrator or the project owner in Research Services has questions or comments to the submitted proposal and has therefore returned it to the users of the project. Questions and comments are shown in the proposal or sent via email., Sent for signature, The project owner in Research Services has sent the project proposal to the signatory group., Approved, The project proposal is approved by the Head of Division for Research Services, and it is now possible to move on with the order (for example drafting of contract, data delivery)., Data delivered, The assignment is completed and will subsequently be invoiced., My project proposal has not been approved - what can I do?, Your project owner in Research Services may have comments or questions for the project’s contact person, and this is why your project proposal is returned for revision. , When you have edited the project proposal, you can re-submit it via Denmark’s Data Portal., How do you make a re-proposal in Denmark’s Data Portal?, Read how you make a re-proposal of a project under , Specifically about re-proposals, ., My project was approved before Denmark’s Data Portal was created. Should I add the previously approved registers and variables when I make a re-proposal?, Yes, you should. Only one project proposal will be valid, and all data must be documented on the valid project proposal. This is why you must enter all details in the re-proposal., Do I have to create a new population whenever I make a re-proposal of my project?, You only need to create a new population segment if the population changes significantly, for example if it is created based on changed criteria, or if a submitted population is defined differently from the previous one. If you need to extend the population and the population must have the same register extraction as the original population, you can add this as an appendix to the description of the original population. You can do the same under ‘Additional data’, if additional data from other sources than Statistics Denmark must be added., How do I change the deletion date of my project?, If you are the administrator, you can change the deletion date of projects. When you have clicked into the relevant project, you must click the three dots to the right of the project title. Now you are able to indicate a new deletion date for the project by clicking ‘Edit project’. You should not approve the deletion date, as this means that you cannot create re-proposals in future., I have created a project under the researcher scheme, but is should have been created under the project database scheme. What can I do?, Create a new project under the project database scheme with the same information. Then the administrator for your institution can approve the deletion of the ‘incorrectly’ created project under the researcher scheme., How do I approve the deletion of a project?, If you are the administrator, you can initiate the deletion process for a project. Click the project, click the three dots to the right of the project title and select ‘Edit project’. You are now able to approve deletion of the project., The project owners in Research Services do not have rights to approve a deletion., Project owner, delivery times and price, When will a project owner be allocated to my newly created project?, A project owner will be allocated to you when your administrator sends the project proposal for approval with Research Services. If you have questions at an earlier stage in the process, you can send an email to , forskningsservice@dst.dk, , indicating the project number in the subject field. In your email, you can ask the questions you may have. , How long can I expect it to take for me to get my data?, See the average delivery time under , Contact Research Services., You are always welcome to ask the project owner in Research Services how long he or she expects that it will take. The delivery time depends on the individual project., How do I see the price of my data order before I order?, When the administrator has sent the project proposal and data order to Research Services via Denmark’s Data Portal, the project owner in Research Services will be able to prepare a price quote. This quote is sent via email to the contact person for the project. It is not possible to see the price in Denmark’s Data Portal. You are welcome to ask for a price estimate at any time., Physical token, A token is a physical unit used for two-factor login. With two-factor login, you first log in to www.remote.dst.dk with your three/four character IDENT (without figures) and PIN code. Then you are required to confirm your identity by means of the unique security code shown on your token. When you request a physical token, you must indicate a delivery address (e.g. the institution address) and full name of the person to which it must be sent (att.)., Note that we do not send it to addresses abroad., If you choose a physical token, you are not associated with the project until you have received your token in the mail., Guidelines for using physical token versus SMS token, Users without a Danish mobile number can get a physical token mailed to them., Users who are travelling to a foreign destination where it takes a long time for a Danish SMS to get through (for example African countries or New Zealand), can get a physical token., Users travelling to a European country or USA with a Danish mobile phone can still use SMS token., Users who would like a physical token simply as a matter of convenience, generally have to use SMS token instead. The costs of a physical token are far higher than the costs of SMS token.

    https://www.dst.dk/en/TilSalg/data-til-forskning/danmarks-datavindue/faq

    Component 1: Integrated administrative data system

    1.0: Project preparation, Activity 1.0.A - Mission report - Assessment and planning (ENG), Activity 1.0.A - Mission report - Assessment and planning (AR), Activity 1.0.A - Population statistics - DoS (ENG), Activity 1.0.A - Population statistics - DoS (AR), Activity 1.0.A - SBR - DOS (ENG), Activity 1.0.A - SBR - DoS (AR), Activity 1.0.A - Administrative data - SD (ENG), Activity 1.0.A - Administrative data - SD (AR), Activity 1.0.A - Population statistics - SF (ENG), Activity 1.0.A - Population statistics - SF (AR), Activity 1.0.A - Statbus presentation - SD (ENG), Activity 1.0.A - Statbus presentation - SD (AR), Activity 1.0.A - Summary and conclusions (ENG), Activity 1.0.B - Mission report - Assessment and planning IT (ENG), Activity 1.0.B - Mission report - Assessment and planning IT (AR), Activity 1.0.B - Dataflow and systems - SD (ENG), Activity 1.0.B - Dataflow and systems - SD (AR), Activity 1.0.B - IT From order taker to powerful business partner - SD (ENG), Activity 1.0.B - Template for business case and assessment of service provider - Statistics Denmark (ENG), 1.1: Inventory and roadmap, Activity 1.1.1 - Mission report Roadmap for population statistics (ENG), Activity 1.1.1 - Mission report Roadmap for population statistics (AR), Activity 1.1.1 - Quality of register based census in Lithuania (ENG), Activity 1.1.1 - Quality of register based census in Lithuania (AR), Activity 1.1.1 - Steps to Assess Data Quality of Registers (ENG), Activity 1.1.1 - Steps to Assess Data Quality of Registers (AR), Activity 1.1.2 - Mission report - Roadmap for the developing a SBR in Jordan (ENG), Activity 1.1.2 - Mission report - Roadmap for the developing a SBR in Jordan (AR), Activity 1.1.2 - Administrative Data Cooperation in Statistics Finland (ENG), Activity 1.1.2 - Administrative Data Cooperation in Statistics Finland (AR), Activity 1.1.2 - The German SBR (ENG), Activity 1.1.2 - The German SBR (AR), 1.2: Pilot SBR, Activity 1.2.1 - Mission report - Strategy for cooperation with administrative data owners for establishing a SBR (ENG), Activity 1.2.1 - Mission report - Strategy for cooperation with administrative data owners for establishing a SBR (AR), Activity 1.2.1 - Strategy for cooperation with administrative data owners - SD (ENG), Activity 1.2.1 - Strategy for cooperation with administrative data owners - SD (AR), Activity 1.2.1 - Strategy for cooperation with administrative data owners - SF (ENG), Activity 1.2.1 - Strategy for cooperation with administrative data owners - SF (AR), Activity 1.2.1 - Strategy for cooperation with administrative data owners - Conclusions (ENG), Activity 1.2.2 - Mission report - StatBus I (ENG), Activity 1.2.2 - Mission report - StatBus I (AR), Activity 1.2.2 - Introduction to StatBuS (ENG), Activity 1.2.2 - Introduction to StatBuS (AR), Activity 1.2.3 - Mission report - StatBus II (ENG), Activity 1.2.3 - Mission report - StatBus II (AR), Activity 1.2.3 - Characteristics of units (ENG), Activity 1.2.4 - Mission report - Introduction and testing of the StatBus System III (ENG), Activity 1.2.4 - Mission report - Introduction and testing of the StatBus System III (AR), Activity 1.2.7 - Mission Report - Quality of the Statistical Business Register SBR (ENG), Activity 1.2.7 - Mission Report - Quality of the Statistical Business Register SBR (AR), Activity 1.2.7 - Mission Report - Quality of the Statistical Business Register SBR (AR), Activity 1.2.7 - Mission Report - Quality of the Statistical Business Register SBR (ENG), Activity 1.2.7 - Mission Report - Quality of the Statistical Business Register SBR (AR), Activity 1.2.7 - Mission Report - Quality of the Statistical Business Register SBR (ENG), Activity 1.2.8 - Mission report - Suitable Resources for Variables in SBR (AR), Activity 1.2.8 - Mission report - Suitable Resources for Variables in SBR (ENG), Activity 1.2.8 - Mission report - Suitable Resources for Variables in SBR (AR), Activity 1.2.8 - Mission report - Suitable Resources for Variables in SBR (ENG), Activity 1.2.8 - Mission report - Suitable Resources for Variables in SBR (AR), Activity 1.2.8 - Mission report - Suitable Resources for Variables in SBR (ENG), Activity 1.2.9 - Mission report - Installation StatBus vers 2 and upload of test data (AR), Activity 1.2.9 - Mission report - Installation StatBus vers 2 and upload of test data (ENG), 1.3: Pilot population statistics, Activity 1.3.2 - Mission report - Best practice Population statistics (ENG), Activity 1.3.2 - Mission report - Best practice Population statistics (AR), Activity 1.3.2 - German census (ENG), Activity 1.3.2 - German census (AR), Activity 1.3.2 - Population statistics in Finland (ENG), Activity 1.3.2 - Population statistics in Finland (AR), Activity 1.3.2 - Lithuanian census (ENG), Activity 1.3.2 - Lithuanian census (AR), Activity 1.3.2 - Summary (ENG), Activity 1.3.3 - Mission report - Best practices for evaluating quality of administrative data (ENG), Activity 1.3.3 - Mission report - Best practices for evaluating quality of administrative data (AR), Activity 1.3.3 - Introduction from STEs on quality of registers (ENG), Activity 1.3.3 - Introduction from STEs on quality of registers (AR), Activity 1.3.3 - Status DoS (ENG), Activity 1.3.3 - Status DoS (AR), Activity 1.3.3 - Use of Administrative Data for Census (ENG), Activity 1.3.3 - Use of Administrative Data for Census (AR), Activity 1.3.4 - Mission report - Establishing a population register based on administrative data sources (ENG), Activity 1.3.4 - Mission report - Establishing a population register based on administrative data sources (AR), Activity 1.3.4 - Administrative Data Division in DoS (ENG), Activity 1.3.4 - Administrative Data Division in DoS (AR), Activity 1.3.4 - Administrative data for producing population statistics in Italy (ENG), Activity 1.3.4 - Administrative data for producing population statistics in Italy (AR), Activity 1.3.4 - Introduction to the population register in Germany (ENG), Activity 1.3.4 - Introduction to the population register in Germany (AR), Activity 1.3.5 - Mission Report - Building an Address Register (AR), Activity 1.3.6 - Mission report - Quality and metadata (ENG), Activity 1.3.6 - Mission report - Quality and metadata (AR), Activity 1.3.6 - Introdction - Metadata overview (ENG), Activity 1.3.6 - Introdction - Metadata overview (AR), Activity 1.3.6 - Harmonisation table (ENG), Activity 1.3.6 - Harmonisation table (AR), Activity 1.3.6 - Quality management (ENG), Activity 1.3.6 - Quality management (AR), Activity 1.3.6 - Quality of administrative registers in DoS (ENG), Activity 1.3.6 - Quality of administrative registers in DoS (AR), Activity 1.3.6 - Reference metadata practice (ENG), Activity 1.3.6 - Reference metadata theory (AR), Activity 1.3.6 - Reference metadata theory (ENG), Activity 1.3.6 - Role and task of the Quality Unit at Istat (ENG), Activity 1.3.6 - Role and task of the Quality Unit at Istat (AR), Activity 1.3.5 - Mission Report - Building an Address Register (ENG), Activity 1.3.6 - Standardised production - introduction to GSBPM (ENG), Activity 1.3.6 - Standardised production - introduction to GSBPM (AR), Activity 1.3.6 - Structural metadata (ENG), Activity 1.3.6 - Structural metadata (AR), Activity 1.3.6 - Tasks of the Quality Department in DoS (ENG), Activity 1.3.6 - Tasks of the Quality Department in DoS (AR), Activity 1.3.10 (o) - Mission Report - Experiences and challenges from the combined census in Aqaba (ENG), Activity 1.3.10 (o) - Mission Report - Experiences and challenges from the combined census in Aqaba (AR), Activity 1.3.6 - Reference metadata practice (AR), Activity 1.3.7- Mission report - Linking administrative data and survey data (AR), Activity 1.3.7- Mission report - Linking administrative data and survey data (Eng), 1.4: Data flows, Activity 1.4.1 - Mission report - IT strategy with activity track (ENG), Activity 1.4.1 - Mission report - IT strategy with activity track (AR), Activity 1.4.1 - Strategy process - presentation SD (ENG), Activity 1.4.1 - Summary IT Strategy (ENG), Activity 1.4.2 - Mission report Information security (ENG), Activity 1.4.2 - Mission report Information security (AR), Activity 1.4.2 - Information security at Statistics Denmark (ENG), Activity 1.4.2 - Information security at Statistics Denmark (AR), Activity 1.4.2 - Information security at Statistics Lithuania (ENG), Activity 1.4.2 - Information security at Statistics Lithuania (AR), Activity 1.4.4 - Mission report - Data management Center (DMC) I - Requirement specification (ENG), Activity 1.4.4 - Mission report - Data management Center (DMC) I - Requirement specification (AR), Activity 1.4.4 - Requirement Specification DMC 2023 (ENG), Activity 1.4.4 - Requirement Specification DMC 2023 (AR), Activity 1.4.4 - DMC Network Diagram, Activity 1.4.4 - DMC overview, Activity 1.4.5 - Mission report - DMC II (ENG), Activity 1.4.5 - Mission report - DMC II (AR), Activity 1.4.5 - Introduction to Data Centers (ENG), Activity 1.4.5 - Introduction to Data Centers (AR), Activity 1.4.5 - Pseudonymization of identifying variables (ENG), Activity 1.4.5 - Pseudonymization of identifying variables (AR), Activity 1.4.6 - Mission report - Information Security policy (ENG), Activity 1.4.6 - Mission report - Information Security policy (AR), Activity 1.4.6 - Draft for a Information Security policy in DoS (ENG and AR), Activity 1.4.6 - Security and ISO27001 (ENG), Activity 1.4.6 - Security and ISO27001 (AR), Activity 1.4.6 - Introduction to GDPR (ENG), Activity 1.4.6 - Introduction to GDPR (AR), Activity 1.4.6 - Information Security Information Management System (ISMS) in Lithuania (ENG), Activity 1.4.6 - Information Security Information Management System (ISMS) in Lithuania (AR), 1.5: Training, Activity 1.5.1 - Mission report - Metadata awareness and reference metadata (AR), Activity 1.5.1 - Mission report - Metadata awareness and reference metadata (ENG), Activity 1.5.2 - Mission report - Metadata awareness and Structural metadata (AR), Activity 1.5.2 - Mission report - Metadata awareness and Structural metadata (ENG), 1.6: National Data Center, Activity 1.6.3 - Mission report - Introduction to SDMX (AR), Activity 1.6.3 - Mission report - Introduction to SDMX (ENG), Mission 1.6.4 - Mission report - Final (English), Mission 1.6.4 - Mission report - Final (Arabic), Activity 1.6.5 - Mission report - Data Security confidentiality and statistical disclosure control (SDC) (AR).docx, Activity 1.6.5 - Mission report - Data Security confidentiality and statistical disclosure control (SDC) (ENG)

    https://www.dst.dk/en/consulting/projects/jordan-2022-2024/component-1-integrated-administrative-data-system

    Linking of additional data

    Statistics Denmark’s register data can be linked with other data materials, here called additional data. This can be, for example, extractions from registers outside Statistics Denmark, your own data – for example survey data – or data from other data providers., Additional data must be documented and comply with the same requirements to data minimisation and statistical disclosure control that Statistics Denmark applies in general., These requirements must ensure that only additional data needed in the project is provided and that Research Services get the information necessary to be able to handle the additional microdata and make it available in the specific project., Use of additional data must comply with the same rules regarding confidentiality and transfer as those that apply to Statistics Denmark’s microdata. , Read more about the rules on transfer and sanctioning, Any other data must be provided safely to Statistics Denmark. , You will find the guide for uploading additional data sets under ‘Use of FSE upload’, Requirements for additional data, Only approved and documented data:, Additional data must be covered by an approved project proposal. Documentation of the additional data content must be uploaded as an appendix in Denmark’s Data Portal. See below under ‘Documentation of additional data’., No information identifying individuals or businesses:, Personal names, company names, responses with free text in surveys and other information roughly identifying individuals or businesses is not allowed to be included in additional data. Such variables must be removed or categorised before additional data is provided to Research Services., Only the required key variables:, You may include only the key variables, e.g. civil registration number, required to link the additional data with the other data on the project. Key variables that are not needed must be removed before data is provided to Research Services., Only numeric variables and categorised text variables:, Additional data may not include non-categorised text variables, such as free text., Only information required for the specific project:, Key variables for which there is no need, must be removed before data is provided to Research Services., File formats, Additional data may be provided in the following formats:, .ASC, .CSV, .DTA, .ODS, .PDF, .SAS7BCAT, .SAS7BDAT, .SAV, .XLS, .XLSX, Documentation of additional data, Additional data must be documented, so that Research Services gets the information that is necessary to be able to handle the additional data and provide it for the specific project. For that reason, the institution is responsible for uploading an overview with the below content as an appendix in Denmark’s Data Portal., A short description of data (for example origin and content), Name of the data set, names of variables and a description of the variable content., The key variables that must be de-identified. This means the variables required to link the additional data with the other data in the project (e.g. civil registration number)., Which additional variables must be de-identified? This means variables that can be attributed directly to individuals or businesses (e.g. CVR number, grant number for health practitioner, serial number, or other ID numbers)., Does the additional data include key variables that must be linked with key variables in previously provided data sets?, If data is provided directly to Research Services from another data provider, further documentation may be necessary, e.g. variables that must be deleted (see ‘Requirements for additional data’ above)., The overview must be uploaded as an appendix in Denmark’s Data Portal under ’Additional data sources’ in a generally available format (Excel, Word or similar)., If data is to be linked with more populations, the documentation must be attached as an appendix under ‘Additional data sources’ for minimum one of these populations. The additional data must appear under ‘Additional data sources’ for each population., When the additional data has been provided to Statistics Denmark and the documentation has been uploaded in Denmark’s Data Portal, it is recommended that you notify the project owner in Research Services via email., Prices for delivery of submitted data, The price for the delivery of submitted data is variable. Once we have received the data, we prepare a framework agreement with a maximum expected time consumption. After delivery of the data, we settle based on the actual time consumption. , See more about framework agreements under Prices and price agreements, ., The expected time consumption depends on many factors, including the number, size, complexity and format of the files. Therefore, we always prepare framework agreements for submitted data on a case-by-case basis, and only when we have received the specific data sets., The table below provides a guide to the typical relationship between the number of data sets and the maximum expected time consumption. Please note, however, that the number of data sets is only one of many factors, and the table is therefore only a guide. Other factors, such as size, number of variables, or special treatment, may increase or decrease the number of hours in the specific framework agreement. Contact the project manager in Research Services if you need a more precise estimate., See the current hourly rates under Prices and price agreements, Number of datasets, Typical number of hours in framework agreement (indicative), 1-2, 2-4, 3-10, 4-8, 11-20, 8-14, 21-50, 14-20, NOTE: The number of hours in the framework agreement is typically set to accommodate unforeseen circumstances. Since the settlement is based on the actual time spent, the final price will in many cases be lower., Submitting files that do not include microdata, Files that you need in your project and that do not include microdata (e.g. programme files), must not be uploaded via FSE Upload., The files can be sent directly to the project owner in Research Services, if you are working on a subproject for a project database. If you are working under the researcher scheme, you can send an email to , forskningsservice@dst.dk, . In both instances, you must attach the files to the email. Further, you must:, Confirm that you have checked the files to ensure that they do not include microdata., Confirm that the files do not include microdata., Provide a short description of the content of the files and its relevance in terms of the purpose of the project., Indicate the specific path to where the files must be located., Ensure that the files are submitted in a generally available format that can be opened and checked by Research Services without use of specialised software.,  , De-identification, When the additional data has been received in Research Services it will be de-identified in the same way as any other data that belongs to the project. This happens by de-identifying key variables. Subsequently, the additional data is made available together with any other data in the project., Providing additional data to Research Services, Additional data must be provided safely to Statistics Denmark, Additional data can be provided safely to Statistics Denmark in the ways stated below:, Use of FSE Upload, Under Statistics Denmark’s microdata schemes, it is possible to upload additional files with data to be used in an existing project. Only data and documentation can be uploaded. Programmes etc. can be sent to the Research Services employee who is responsible for the project (project owner)., The documentation must either be sent to the project owner from Statistics Denmark or be uploaded in one of the allowed file formats., Before you upload, Before you upload data to be used in a project, you must ensure that the criteria for use of your data in the project have been met. The requirements are described at the top of the page under ‘Requirements for additional data’., The handling of additional data is invoiced according to the actual time used, unless otherwise agreed., Contact the project owner in Statistics Denmark in advance., How to upload the files, You log in via remote.dst.dk in the same way as when you are going to work on a project., Under 'Applications and Links' select 'FSE-UPLOAD'., Write the project number of the project where your data is to be used., When the project title is shown next to the project number, you must check that you have selected the right project for uploading of data., If relevant, add a comment concerning your data in the comments field for the project owner at Statistics Denmark. Actual correspondence should take place via email. , Add files to be uploaded by clicking `Add file'. You can add one or more files. Each file may run up to 2 GB., Note that not all types of files can be uploaded. You can see the list of allowed types under `File formats' further up on the page., When all files have been selected, you must click `Upload'., When all the files have been uploaded, you can log out in the bottom right-hand corner., If relevant, see , this guide for FSE upload (pdf, in Danish), , which includes screenshots of the upload process., Use of secure email, Data can be sent via secure email to , forskerpost@dst.dk, in one of two ways: , The institution retrieves Statistics Denmark's certificate at the website for download of security certificates (in Danish): Select , forskerpost@dst.dk, . For Outlook, we recommend the Vcf format. , After this, additional data must be sent to , forskerpost@dst.dk, . Always indicate project number and project owner in Research Services in the subject field of the email and notify the project owner in Research Services directly, once the additional data has been sent. Statistics Denmark does not offer any support for encryption or digital signature. Refer to your own IT department for guidance using mitID and secure email., The institution can use a secure, encrypted tunnel (SEPO). The set-up is individual for different institutions and must be handled by the institution's IT department, which should be involved before the additional data is sent., You must always indicate the project number and notify the project owner in Research Services that the email has been sent using an encrypted tunnel (SEPO). If using an encrypted tunnel, additional data must also be sent to , forskerpost@dst.dk, ., Registered letter or personal delivery, For data security reasons, we recommend that you use one of the above options., If this is not possible (e.g. if the files are very big), it is possible to provide password-protected additional data on physical media directly to Statistics Denmark at the below address. The contact person for the project in Research Services and the project number must always appear from the material handed in:, Statistics Denmark, Service Desk, Sankt Kjelds Plads 11, 2100 Copenhagen Ø, Att. Contact person for the project in Research Services, Re. project number: 7XXXXX, Additional data can either be delivered personally at Statistics Denmark's reception or be sent by registered mail to Statistics Denmark on a physical medium (DVD, CD-ROM or USB, which will not be returned). When provided on a physical medium, the additional data must be password-protected. Password must not be provided together with the physical medium., When the additional data has been received, you must send the password via email to the contact person for the project in Research Services.,  , Other data providers, Other data providers can provide additional data directly to Statistics Denmark at the request of the institution and by agreement between Research Services and the data provider. Delivery of additional data must take place in one of the above ways, but you must make sure that the additional data complies with the requirements above before it are delivered to Research Services., Do , not , send data via standard email, Additional data must not be sent via standard email, since this is not a secure delivery mode.

    https://www.dst.dk/en/TilSalg/data-til-forskning/anmodning-om-data/tilknytning-af-ovrige-data

    Historical projects

    Statistics Denmark has been involved in international cooperation projects since the beginning of the millennium. , Additional information and reports from the projects are available on request. If you are interested in information about a specific historical project please write an email to , internIR@dst.dk, and we will get back you. , Below there is a short description of some of the historical projects. In addition to these, we have been involved in many other projects on a smaller scale. , Armenia, Statistics Denmark implemented an EU-financed Twinning project in Armenia in cooperation with the national statistics institutions of Finland, Italy and Lithuania from August 2015 to August 2017. The beneficiary institution was the National Statistics Service of the Republic of Armenia, Armstat. The aim of the project was to support the upgrade of official statistics of Armenia by introducing new methodologies on statistics closely aligned to European standards and enhancing dissemination of official statistics to the society. , The project focused on six major components: , Dissemination and Quality of Statistics, Demographic Statistics and IT, Labour Market Statistics, Poverty Statistics, Innovation Statistics, Water Accounts , The project was the second EU Twinning project between Armstat and Statistics Denmark. The first project ran from 2011 to 2013., Bosnia-Herzegovina, Bosnia-Herzegovina 2021-2023, Statistics Denmark was implementing an EU-financed Twinning project in Bosnia and Herzegovina in cooperation with the national statistical institutions of Finland, Sweden and Italy. The project ran from March 2021 to March 2023. , The beneficiary institutions were: , Agency for Statistics of Bosnia and Herzegovina, Institute for Statistics of Federation of Bosnia and Herzegovina, Institute for Statistics of Republika Srpska, Central Bank of Bosnia and Herzegovina, Indirect Taxation Authority of Bosnia and Herzegovina., The overall objective of the project is to increase the volume of statistical data in/for BiH and further increase the compliance with EU Acquis, with the specific objective to strengthen the statistical system institutional capacities and to further harmonise statistics in BiH with EU standards by improving business statistics, balance of payments, agriculture and labour market statistics and to improve reporting/statistics on collected indirect taxes. , In general, the project addressed six independent components: , Component 1 - Business Statistics, with four subcomponents, C 1.1 - Statistical Business Register, C 1.2 - Structural Business Statistics, C 1.3.1 - Index of Production in Construction, C 1.3.2 - Index of Services Production, Component 2 - Agricultural Statistics, Component 3 - Administrative Data Sources, Component 4 - Labour Market Statistics, Component 5 - Balance of Payment Statistics – Central Bank, Component 6 - Macroeconomic Analysis Unit of the Governing Board of the Indirect Taxation Authority, You can read more about the project on Facebook: EU Twinning - Further Support to the Reform of Statistics System in BiH , Bosnia-Herzegovina 2018-2020, Statistics Denmark has implemented an EU-financed Twinning project in Bosnia and Herzegovina in cooperation with the national statistical institutions of Croatia, Finland and France. The project ran from January 2018 to April 2020. , The beneficiary institutions were:, Agency for Statistics of Bosnia and Herzegovina, Institute for Statistics of Federation of Bosnia and Herzegovina, Institute for Statistics of Republika Srpska, Central Bank of Bosnia and Herzegovina., The aim of the project was to strengthen the statistical system in Bosnia and Herzegovina and to increase the number of statistics, which is harmonised with EU standards. , The project focused on the following topics: , Component 1: National Accounts, Component 2.1: Statistical Business Register, Component 2.2: Structural Business Statistics, Component 2.3: Service Producer Price Index, Component 2.4: Construction Producer Price Index, Component 2.5: Tourism Statistics, Component 3: Balance of Payment and International Investment Position Statistics, You can read more about the project on Facebook: EUtwinningStatisticsBiH , Georgia, Statistics Denmark implemented an EU-financed Twinning project in Georgia. Our partner was the National Statistics Office of Georgia, Geostat. The implementation happened in cooperation with the national statistical institutes of the Czech Republic, Hungary, Finland and Lithuania. The project ran from April 2019 to July 2021. , The project has four main topics:, External Sector Statistics, National Accounts, Business Statistics, Social Statistics, The aim of the project is to assist Geostat in further improving statistical capacity and contributing to providing timely, internationally comparable and reliable statistical data. , You can also follow the project on Facebook: EUtwinningGeostat. , Egypt, From September 2008 to November 2010 Statistics Denmark and the Central Agency of Public Mobilisation and Statistics (CAPMAS) of Egypt implemented an EU Twinning project. The project was called "Institutional Capacity Building for the Central Agency of Public Mobilization and Statistics; and Developing the Legal Framework for Statistics in Egypt"., We implemented the project in partnership with Statistics Sweden, Statistics Finland, Central Statistical Bureau of Latvia and the Czech Statistical Office. The objective was to support the preparation of statistical policy and legislation and to build up the organizational capacity of CAPMAS to produce, publish and disseminate high quality statistics., The project focused on six major components:, Improvement of statistical legislation, Organisational reform, Increasing statistical awareness, Improved IT-function, Development of certain statistics such as national accounts, external sector statistics and price statistics , Israel, Statistics Denmark and the Israeli Central Bureau of Statistics (ICBS) implemented a two-year EUTwinning project from March 2016 to August 2018. Besides experts from Statistics Denmark, the project was implemented in cooperation with the national statistics institutions in the Netherlands, Poland and the UK., The project is a result of the bilateral ENP Action Plan between the EU and Israel., See the EEAS website for further details on the EU/Israel Action Plan, The project had four major components:, Quality management of official statistics, Micro-data services to researchers, Infrastructures for agricultural statistics, Methodological and geo-spatial tools for improving the quality and efficiency of field surveys, The purpose of the project was for the ICBS to align official statistics with standards, guidelines and best practices from the European Union and from international organizations like the IMF and the OECD., The project was a logical continuation of a previous EU Twinning project between Statistics Denmark and ICBS that ran from May 2013 to December 2014., Jordan, Between November 2013 and April 2015, Statistics Denmark implemented an EU Twinning project with the Department of Statistics of Jordan. We worked on the implementation together with Istat of Italy, the Central Statistics Bureau of Latvia and Northern Ireland Cooperation Overseas. , The topics were:, Ensuring quality control of statistical data through upgrading sampling methodologies, Implementing international and European methods in National Accounts , Quality of statistics , Developing IT systems for online dissemination of statistics, Kosovo, From December 2013 to March 2016, Statistics Denmark implemented an EU Twinning Project with the Kosovo Agency of Statistics. We worked with partners from Statistics Lithuania, Statistics Finland and Ni-Co Northern Ireland., The project had four components:, Quality Systems for Statistics, National Accounts, Business Statistics, Information Technology System, Mozambique, The project between Statistics Denmark, Statistics Norway and Statistics Sweden on one side and Instituto Nacional de Estatística of Mozambique (INE) ran from 2002 to the end of 2017. , Originally, the project was funded by the World Bank to support the newly formed national statistical institute (INE) with its first 5-year master plan, 1998-2002. , Long and short term advisors started helping INE to strengthen already existing systems and support the creation of new ones to build up an efficient system for the production of the statistical information required for planning, monitoring and evaluation of the country's development program. , During the period 2003-2007 an even more extensive project was created where Denmark, Norway and Sweden joined to directly finance both technical assistance and statistical activities. A consortium, Scanstat, was formed by Statistics Denmark (lead), Statistics Norway and Statistics Sweden provided technical assistance. , Since 2008, the financing of the project was made through the state budget by the government of Mozambique and a common fund, where UNFPA (lead), Norway and Sweden were signatories of the Memorandum of Understanding and contributing financially to the fund. Also Denmark, Canada, Italy, the World Bank, FAO and UNICEF were often participating as interested stakeholders in common meetings. , For the period 2013-2017, the contract between Scanstat and INE contained 111 months of long-term technical assistance, one in Institutional Development and one in Economic Statistics. There was also up to 207 weeks of short-term technical assistance covering all aspects of a modern staistical office in a developing country. Some of the activities were executed at other producers of official statistics in Mozambique such as the Ministry of Agriculture and Food Security. , INE has been supported by the Scandinavian countries for a long time and we have been in a prolonged phasing-out phase focusing on sustainability and empowerment of the national Mozambican staff. It is encouraging to see how INE is taking up its role within the African statistical society and now often act as promoter and a good example. , Ukraine, Statistics Denmark implemented an EU-financed Twinning project with the State Statistics Service of Ukraine from December 2013 to December 2015. INSEE France, Statistics Lithuania, Central Statistical Office of Latvia, Central Statistical Office of Poland, Statistics Finland, Statistics Sweden, Statistical Office of the Slovak Republic, INE of Spain and ISTAT Italy were also providing expertise to the project., The objective of the project was to develop Ukraine’s national system of official statistics in order to apply European standards in the area of statistics., The project had 13 components:, National Accounts, Consumer Price Index (CPI) Sample, Quality reports, Producer Price Index (PPI), Structural Business Statistics (SBS), Business Trends Survey, Agriculture Statistics, Foreign Trade Statistics, Statistical Business Register, Sample Surveys Methodology, Capital and Foreign Direct Investment, Household Living Conditions Survey, Effective Communi­cation with Media and Public, Promoting the Activity of the Statistical Office, Web Portal Solutions, Data Collection Process, The project was a follow-up to a previous EU Twinning project running from 2011 to 2013.

    https://www.dst.dk/en/consulting/projects/historical-projects

    How we carry out services

    The price of a service depends solely on the number of hours spent on the service. As a customer, you can reduce the time spent in the initial phase – and consequently the price – by making yourself acquainted with how we proceed with commissioned services. We have made a bulleted summary below describing a typical procedure for a customised service. We will be happy to help you through all phases of a service, so do not hesitate to contact us if you have any questions. It is useful to get acquainted with our registers and variables by looking into , www.statbank.dk, . , It is also a good idea to inform Statistics Denmark about your expectations to price and time frame, so that we can align our expectations from the start as to what is feasible. ,  , 1. WHAT WE CAN PROVIDE, NO MICRO DATA, Statistics Denmark is not allowed to provide individual pieces of information about persons, families, households or enterprises. For this reason, services will usually be provided as a table or set of summarised data. , REGISTERS, Statistics Denmark can combine data from many different registers by correlating data from CPR about persons, CVR about enterprises or BBR about properties. , STATISTICAL DATA PERIOD, If you want to correlate several statistical registers, different statistical data periods may cause that some persons/enterprises in one register cannot be matched with the content of another register. , STATISTICAL METHODS, Different statistical methods may also imply that a few persons/enterprises included in one register may not be included in another register. The income statistics, for example, are delimited to include taxpayers. Accordingly, if a person is not a taxpayer, this person is not registered in these statistics. The same person may easily be found in other registers, e.g. in the educational register. , QUALITY, Statistics Denmark makes a point of providing tables and data of a quality that we can vouch for. For this reason, Statistics Denmark may decline to provide a service, if we consider that the data quality, dropout or data construction does not provide a sufficiently well-founded assessment of reality. ,  , 2. CLARIFICATION PHASE, SUBMIT REQUEST , If you want to receive a quotation from us for delivery of statistics, click the link below and fill in the form. This allows us to find the right consultant for the further process:, Request a quotation, If you want to order an update of previously delivered services, click the link below and fill in this form:, Request update of a former delivery, The completed form will help clarify questions such as:, Do we have the requested data?, Can we delimit data in the way that you request?, Are there any matching problems between registers?, Do special circumstances exist concerning data, which may involve constraints?, Do we need to take measures regarding statistical disclosure control to eliminate the risk of disclosing information on a single individual statistical unit?, When the statistics were last updated?, By when do you need the data?,  , 3. DELIMITATION OF POPULATION, TOTAL POPULATION , The total population will often be a population that is comparable with published, free-of-charge figures at , www.statbank.dk, , such as the population of a municipality. , DELIMITED POPULATION, Based on selected variables in the register, we determine how we are going to delimit the population. This could be e.g. persons aged 16-29 in employment. , YOUR OWN POPULATION, We can delimit the population on the basis of civil registration numbers (CPR), central business register numbers (CVR) or addresses that you have provided us with, which we can then match with the requested registers. Note that you are not allowed to provide us with your own population without prior agreement, since data must be encrypted when submitted and we must make a data processor agreement. , COMPARABILITY WITH PUBLISHED STATISTICS, When we provide services, to the extent possible, we check data against other published sets of statistics and document to which of Statbank Denmark’s sets of statistics you can make comparisons. If we are unable to compare or check data against the published statistics, e.g. if extraction is made from your own population, this is noted in the documentation. ,  , 4. VARIABLES, TIDSSERIER , At , www.statbank.dk, you will be able to find tables displaying the most widely used variables in our many registers. Please note that many registers/variables are not comparable over time. This is because changes may occur in the sets of values for various variables (e.g. in groupings from e.g. ages 0-5 and 6-10 to ages 0-4 and 5-9), or there may be changes in the method of assessment for the statistics, e.g. changes in the definitions of certain variables. If changes have occurred in Statbank Denmark tables that make it difficult to compare data over time, two tables will be displayed, each with their separate time series, instead of one table. , STANDARD GROUPINGS , It is possible to do both: use standard grouping of variable values and make your own groupings. You can find help for standard groupings by looking at the different nomenclatures here: , https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer, TABLE SIZES , Consider whether you want one table crossing all variables, or whether you could use several small tables. If you want one big table crossing many variables, it may be necessary to apply statistical disclosure control, which often makes the requested service more costly and data less useful. ,  , 5. PRICE AND QUOTATION, THE QUOTATION, When the requested service has been clarified, we prepare a quotation, which is usually open for a month. It is no problem for us to change the quotation during the process, but we do make reservations with respect to increasing the price if we need to spend time adjusting the quotation., TIME-RELATED CHARGE, We calculate the price of a service based on the total time spent on the service., The time spent consists in e.g.:, Clarifying the scope of the requested service, as we need to close the gap between your ideas and the data , Preparing a quotation and contract, if relevant, and/or data processor agreement , Programming, including linking between registers, applying statistical disclosure control as well as test and validation of data. , Setting up tables in Excel and preparing documentation ,  , The hourly rate for services is , DKK 1,476 excl. VAT (DKK 1,845 incl. VAT), . , You can read more about the basis of the calculation of the hourly rates for services under prices and pricing policy. , BUDGET FOR THE SERVICE, We are very interested in hearing your expectations to price and, if relevant, the budget that you anticipate, as early in the process as possible, as this can help us optimise the time we spend. , INITIAL SURVEY, If we estimate that it will take more than one hour to clarify the requested service (including table definition and price calculations), we offer to make an initial survey. A preliminary survey can ensure that you do not place an order for a major service project, which later proves to be useless. Before we agree on an initial survey, we are typically able to make a not binding estimate of how much the final service is going to cost. , FRAMEWORK AGREEMENT, If a service is difficult to estimate in terms of time or to define, we offer to create a framework agreement. In case of a framework agreement, we agree on a framework for a certain number of hours, but you only pay for the time we actually spend performing the service. A framework agreement provides more room in the process for clarification and changes of definitions, but we cannot guarantee how much we can accomplish within the agreed number of hours. , FIXED-PRICE CONTRACT, If a service is well-defined, we can make a fixed-price contract, in which we agree on a price as well as which aggregated tables we provide at the given price. ,  , 6. DATA SECURITY AND CONFIDENTIALITY, We greatly emphasize the protection of personal data as well as data on enterprises. For this reason, we do not provide statistics involving a risk that individuals or individual households or enterprises can be identified. For further information about this, read our Data confidentiality policy., Statistics Denmark reserves the right to apply statistical disclosure control to datasets to the extent deemed necessary., WHEN DO WE APPLY STATISTICAL DISCLOSURE CONTROL?, We must apply statistical disclosure control if:, the tables are highly detailed and it is possible to identify individuals or enterprises, you want to break down on variables included in your submitted datasets, which have been used to delimit the population (e.g. types of customers). In this case, we typically require a minimum of 30 or 50 units in each cell, HOW DO WE APPLY STATISTICAL DISCLOSURE CONTROL?, There are several methods of statistical disclosure control and it is agreed in collaboration with the customer which method we use. We typically select one the following options:, Automatic aggregation of categories of variables to an aggregate category named “statistical disclosure control” until the statistical disclosure control requirement has been met., Manual aggregation of categories of variables until the statistical disclosure control requirement has been met. This solution is somewhat more time-consuming and consequently involves higher costs., The value in the cell is set for “statistical disclosure control” if the number of observations is too low. With this solution, all categories of variables are maintained, but you can no longer use the sums in the table.,  , 7. COMMISION, You commission a service when you accept the quotation from Statistics Denmark in writing. , CONTRACT FOR SERVICES , Statistics Denmark prepares a contract for all services above DKK 25,000 excl. VAT or services on special terms. ,  , 8. CREATION OF DATA AND DOCUMENTATION, In principle, we create data based on the definitions we have established together. In practice, questions will emerge along the way, to which we will find a solution together. This means that it is necessary that you are available and able to respond to any clarifying questions within reasonable time while we work on the service. , DOCUMENTATION , We deliver the service to you along with documentation describing the registers, variables, population, any data breaks and how we have carried out the actual service. , Documentation of variables is available at , www.dst.dk/dokumentation, Documentation of registers is available at , www.dst.dk/varedeklarationer,  , 9. DELIVERY AND PAYMENT, We endeavour to execute minor services within 1-3 weeks. For major service projects, the delivery time varies. The delivery time depends on the number of services that we are contractually committed to complete, and the scope of the service. Especially during the holiday season or in periods where new data is released, the delivery time may be long. , FORMATS, We usually deliver the tables in Excel, but also offer to deliver in other formats., Large tables can be delivered as Excel pivot tables or in PC-Axis. In this way, you can extract parts of the table and analyse a subset of data. Large tables are typically unsuitable as frozen tables in Excel. Delivery of data in PC-Axis format is more costly., We can deliver summarised data as e.g. SAS, SPSS, semicolon separated file or other flat file., INVOICING, When we have delivered the service, we will invoice you. The time for payment is 30 days. We reserve the right to sub-invoice services stretching over a long period of time., SUBSEQUENT ADVISORY SERVICES, Within the first month after delivery, we offer up to 15 minutes of advisory services/help to understand and interpret data. For major services, we incorporate subsequent consulting services in the contract., We offer further consulting by special arrangement and settled by separate payment at the current hourly rate. We will notify you when the included time has been spent., ERRORS IN THE DELIVERY, If within 30 days, you or we become aware of errors in the registers, or if we have made a programming error in the service provided, we deliver new data as soon as possible., We are very interested in knowing about errors, small or large, or any inexpediencies in the statistics, so that we can check and, if relevant, correct the content in customised services as well as in the registers. It is only rarely possible for us to immediately correct errors in the underlying registers, but we do anything we can for it to happen as soon as possible.,  , 10. GENERAL TERMS FOR SERVICES, You will find the general terms for services here: , General terms and conditions of agreements, If you want to e.g. pass on the customised set of statistics to a third party, or publish data directly on a website in raw form, this must be incorporated in the contract. , 11. SUBMISSION OF DATA, If the service requires that you submit personal data to us, you must enter into a data processor agreement with us before you submit data., For security reasons, you are not allowed to submit personal data via regular email. You must use one the following options:, If your organisation has secure, encrypted FTP access, you may use this to submit data to consulting@dst.dk for the attention of your contact in DST Consulting stated in the email., If your organisation has tunnel access, you may use this to send an email with attached information directly to your contact person in DST Consulting., You can download a safety certificate from the website and submit data via encrypted email based on the contact person that is created. Then you can submit data via email to consulting@dst.dk for the attention of the customer’s contact person in DST Consulting., You can email the contact person in DST Consulting and submit data by attaching it as a password protected zip file, provided that you transmit the password via another channel – e.g. via text message or telephone,  , 12. DATA STORAGE, STORAGE OF SUBMITTED DATA, To facilitate subsequent consulting services, we generally store personal data for three years after delivery of the service. If you want us to store data for a longer period, this must be indicated in the data processor agreement. You can find further information about this under , data processing, . , STORAGE OF CUSTOMER INFORMATION, For accounting reasons, Statistics Denmark stores contact information you have provided for you and your enterprise/organisation. Further information about the processing and storage is available in our , Privacy policy for the handling of personal data at DST Consulting, . ,  

    https://www.dst.dk/en/TilSalg/skraeddersyede-loesninger/bestil-en-opgave/serviceopgavens-forloeb

    Statistics Denmark's compliance with GDPR

    Statistics Denmark’s compliance with GDPR, Statistics Denmark guarantees to protect data in our possession about citizens and companies. This means e.g. that the data is safeguarded and that it is used by Statistics Denmark for the sole purpose of statistics. Statistics Denmark has a strong focus on compliance with the data protection rules set out in the General Data Protection Regulation (GDPR) and the Danish Data Protection Act. The data protection rules apply when we process data about natural persons. The concept of “natural person” also includes sole proprietorships (businesses owned by one individual). This is because there is no practical way of distinguishing between data about the owner as an individual and data about the business., Personal data in statistics, Since 1850, Statistics Denmark has been a key to understanding Danish society. To produce the best possible statistics, we have access to data from administrative registers in public administration. Furthermore, we have a statutory authority to collect data from public authorities, the business sector and private individuals., We organise the data in databases for the statistical domains for which the data is required. This means that data about a person or a business are not all gathered in one place. The statistical basis relies on data about people and businesses. Statistics are aggregate data about groups of people or businesses from which facts about individual units cannot be identified. Before we publish a set of statistics, we make sure that it is not possible to disclose data about identifiable natural or legal persons by means of the statistics., Our Data Security Policy gives a detailed description of how Statistics Denmark ensures confidentiality regarding statistical data, while our Information Security Policy deals with security in general in Statistics Denmark. Our policies are available here., In a number of situations, Statistics Denmark acts as a data processor for a data controller. In order for data controllers to fulfil their obligations to supervise Statistics Denmark, Statistics Denmark each year commissions four external ISAE 3000 audit reports. The reports cover Statistics Denmark’s statistical production in general as well as that of three offices engaged in data for customers. These three offices are Research Services (data for research in a secure environment), DST Consulting (customised statistics) and DST Survey (data collection). The audit reports provide assurance for the data controller that Statistics Denmark processes the personal data for which the controller is responsible in a proper manner. The data controller can obtain an audit report by contacting us at databeskyttelse@dst.dk., Below is the answer to a number of questions that you may be curious about as a person registered in our statistics., 1. Who is the data controller and how do I get in touch?, Statistics Denmark is data controller of the processing made in connection with collection, production, development and dissemination of statistics. This means that we have responsibilities and obligations pursuant to the data protection rules regarding the personal data we have collected about you., Statistics Denmark has the following contact information:, Statistics Denmark, Sankt Kjelds Plads 11, 2100 Copenhagen, dst@dst.dk, CVR – 17150413, Phone +45 39 17 39 17, If you need to include sensitive or confidential personal data in your enquiry, we encourage you to send your enquiry to us via Digital Post. To do so, log in at Digital Post and select Statistics Denmark as receiver from the list of government agencies. You can also send us a letter., 2. How do I contact the data protection officer (DPO)?, Statistics Denmark has appointed a DPO who gives us advice e.g. on how to process data about you properly and in compliance with data protection rules regarding personal data., Our data protection officer (DPO) is Amalie Stubdrup and you may contact her at , databeskyttelse@dst.dk, or tel. +45 39 17 39 95., If you need to include sensitive or confidential personal data in your enquiry, we encourage you to send your enquiry to us via Digital Post. To do so, log in at Digital Post and select Statistics Denmark as receiver from the list of government agencies. You can also send us a letter., 3. Why does Statistics Denmark process data about me?, Statistics Denmark processes data about you for the purpose of producing and disseminating statistics on Danish society – either as part of official statistics or on request and as part of a task of importance to society., In addition, we make pseudonymised data available for carrying out statistical or scientific surveys of importance to society. We are only allowed to disclose data for statistical or scientific purposes. The data may not be used for any other purpose, e.g. administrative, legal or tax purposes, or for decisions aimed at you., However, there are situations in which national law obliges Statistics Denmark to disclose data for administrative purposes. This is the case for the AUB’s statistics on FTE employees with vocational training in connection with calculation of the work placement dependent AUB contribution, and for the Public Benefits Administration’s assessment of length of service, which is necessary for calculating the right to early retirement, the so-called ‘Arne pension’., 4, What is the statutory basis for processing data about me?, Statistics Denmark processes personal data in compliance with the provisions in Act on Statistics Denmark, the General Data Protection Regulation (GDPR) and the Danish Data Protection Act., The legal basis for Statistics Denmark’s processing of personal data for statistical purposes is article 6(1)(e), article 9(2)(j), article 10 of the GDPR and sections 10 and 11(1) of the Danish Data Protection Act., In cases where Statistics Denmark discloses data for the purpose of production by others of statistical or scientific surveys of significant importance to society, ministerial order no. 1509 of 18 December 2019 on disclosure of personal data under section 10(1) and (2) of the Danish Data Protection Act also applies., Statistics Denmark’s obligation to disclose data for the purpose of the AUB’s statistics on FTE employees with vocational training is laid down in section 2 of the ministerial order no. 233 of 22 March 2018 (on AUB’s education register for statistics on FTE employees with vocational training, which is used to calculate employers’ contribution to the work placement programme)., Statistics Denmark’s obligation to disclose data to the Public Benefits Administration for the purpose of assessing length of service is laid down in section 12 of act no. 2202 of 29 December 2020 (act to amend the act on social pension and various other acts (implementation of a right to early retirement))., 5. Where does the data about me come from?, Statistics Denmark collects personal data through:, Public registers, Statistics Denmark is charged with producing, developing and disseminating statistics in Denmark to focus on matters of public interest. This is why Act on Statistics Denmark gives us authority to collect data from public registers. For example, Statistics Denmark receives data from the Civil Registration System, the Ministry of the Interior and Health, the Danish Motor Vehicle Agency’s motor vehicle register, and the Danish Tax Agency’s eIncome register., Reports from public authorities and institutions and economic operators, Act on Statistics Denmark gives us the authority to instruct public authorities and institutions to inform us of the data they have in their possession., The Act further gives us the authority to instruct economic operators to impart specific data with us that they have in their possession. In sections 8-12 of the Act, you can read about the data concerned., Voluntary interview surveys, Furthermore, Statistics Denmark communicates with private individuals in order to collect data. When Statistics Denmark contacts private individuals, their participation is always voluntary. The Labour Force Survey is an example of a survey in which we ask private individuals to participate. We randomly select the people whom we invite to participate. Such responses are of great value, as they form the basis of statistics of great significance to society., 6. What categories of personal data about me does Statistics Denmark process?, Statistics Denmark collects the following categories of personal data for the purpose of producing statistics:, general data – e.g. ownership of property, data about unemployment, or data about your marital status, , special categories of data – e.g. contact with the psychiatric treatment system, , data relating to criminal convictions and offences – e.g. data about a sentence registered in the central register of criminal offences, as well as , data about your civil registration number. , 7. To whom does Statistics Denmark disclose personal data, and who has access to the personal data?, Employees of Statistics Denmark producing statistics and with a work related requirement have access to personal data related to the relevant set of statistics to be produced. The employee only has access for the period of time that is necessary for producing the statistics. None of Statistics Denmark’s employees has access to all pieces of data about you., Statistics Denmark may disclose data about you to others who produce statistical or scientific surveys of significant importance to society. By default, data will be pseudonymised, i.e. data may be combined with other sets of data, but individuals will not be immediately identifiable. Consequently, no one working with pseudonymised data will know that data about you are part of the set of data. Only in exceptional cases will we disclose the data in a format that allows the data to be immediately traced to you., Statistics Denmark may disclose data about you to others who produce statistical or scientific surveys. This happens via the researcher programme, the authority programme and the law model programme, where the data is pseudonymised to prevent it from being traceable to identifiable individuals. In addition, Statistics Denmark makes personal data available via data warehouse programmes, where data is aggregated or pseudonymised before it is displayed., ’DST Survey’ is a division under Statistics Denmark that collects data via interviews and questionnaires on behalf of customers. These results are disclosed as pseudonymised data to the customer who is responsible for the data collection. Before you start an interview or respond to a questionnaire, you are informed on whose behalf the survey is made and for what purpose the data will be used., When we no longer need to store data about you, it may be transferred to the national archives, Rigsarkivet, in accordance with the statutory rules on archives., 8. Does Statistics Denmark disclose data about me to a third country?, Statistics Denmark discloses data to the official statistics authorities in Greenland and in the Faroe Islands., The data for the statistical authority of Greenland is about the highest educational attainment of people residing in Greenland. The disclosure happens for the purpose of the Greenlandic statistical authority’s production of statistics. The disclosure is based on general provisions on the protection of data adopted by the European Commission describing the required and appropriate safeguards., The data for the statistical authority in the Faroe Islands is about persons residing in the Faroe Islands and the Faroese residing in Denmark regarding their education, employment, income and health.  The disclosure happens for the purpose of the Faroese statistical authority’s production of statistics. The disclosure happens on the basis of the EU Commission’s adequacy decision. This means that the EU Commission has assessed that the level of protection with regard to personal data in the Faroe Islands corresponds to the level of data protection in the EU/EEA., 9. For how long does Statistics Denmark store the data?, Data that we collect for the purpose of producing statistics are not deleted. This is so because we must be able to produce statistics showing developments and changes over time. The data is stored for production of time series., 10. What rights do I have?, In the case of Statistics Denmark’s processing of personal data about you for statistical purposes, you cannot assert your right of access, to rectification, erasure, restriction, objection and data portability (right to receive your personal data in a structured, commonly used and machine-readable format)., This is due to article 89(2) of the General Data Protection Regulation stipulating that the individual countries may provide opt-outs for the rights of those registered when it comes to processing for statistical purposes. Section 22(5) of the Data Protection Act stipulates that articles 15 (right of access), 16 (right to rectification), 18 (right to restriction of processing) and 21 (right to objection) of the regulation do not apply if the data is processed solely for scientific or statistical purposes., Article 17 of the regulation regarding the right to erasure does not apply to the extent that the processing is necessary for statistical purposes, cf. article 17(3)(d)., Likewise, the right to data portability in article 20 of the regulation does not apply in Statistics Denmark, as the right can only be asserted when the processing is made automatically and is based on consent or a contract. Statistics Denmark’s processing is in pursuance of article 6(1)(e) on the performance of a task in the public interest or falling within the exercise of public authority imposed on the data controller, in which case the right to data portability is thus not applicable., 11. Do I have complaint options?, If you believe that Statistics Denmark’s processing of personal data about you is not carried out in compliance with the data protection rules, you have an option to file a complaint to the Danish Data Protection Agency., You can read more about this on , the Danish Data Protection Agency’s website, , or contact them at +45 33 19 32 00.

    https://www.dst.dk/en/OmDS/strategi-og-kvalitet/datasikkerhed-i-danmarks-statistik/danmarks-statistiks-efterlevelse-af-gdpr

    Documentation of statistics: The Monthly Labour Force Survey (LFS)

    Contact info, Labour Market, Social Statistics , Daniel F. Gustafsson , +45 20 51 64 72 , dfg@dst.dk , Get documentation of statistics as pdf, The Monthly Labour Force Survey (LFS) 2025 Month 07 , Previous versions, The Monthly Labour Force Survey (LFS) 2025 Month 06, The Monthly Labour Force Survey (LFS) 2025 Month 05, The Monthly Labour Force Survey (LFS) 2025 Month 04, The Monthly Labour Force Survey (LFS) 2025 Month 03, The Monthly Labour Force Survey (LFS) 2025 Month 02, The Monthly Labour Force Survey (LFS) 2025 Month 01, The Monthly Labour Force Survey (LFS) 2024 Month 12, The Monthly Labour Force Survey (LFS) 2024 Month 11, The Monthly Labour Force Survey (LFS) 2024 Month 10, The Monthly Labour Force Survey (LFS) 2024 Month 09, The Monthly Labour Force Survey (LFS) 2024 Month 08, The Monthly Labour Force Survey (LFS) 2024 Month 07, The Monthly Labour Force Survey (LFS) 2024 Month 06, The Monthly Labour Force Survey (LFS) 2024 Month 05, The Monthly Labour Force Survey (LFS) 2024 Month 04, The Monthly Labour Force Survey (LFS) 2024 Month 03, The Monthly Labour Force Survey (LFS) 2024 Month 02, The Monthly Labour Force Survey (LFS) 2024 Month 01, The Monthly Labour Force Survey (LFS) 2023 Month 12, The Monthly Labour Force Survey (LFS) 2023 Month 11, The Monthly Labour Force Survey (LFS) 2023 Month 10, The Monthly Labour Force Survey (LFS) 2023 Month 09, The Monthly Labour Force Survey (LFS) 2023 Month 08, The Monthly Labour Force Survey (LFS) 2023 Month 07, The Monthly Labour Force Survey (LFS) 2023 Month 06, The Monthly Labour Force Survey (LFS) 2023 Month 05, The Monthly Labour Force Survey (LFS) 2023 Month 04, The Monthly Labour Force Survey (LFS) 2023 Month 03, The Monthly Labour Force Survey (LFS) 2023 Month 02, The Monthly Labour Force Survey (LFS) 2023 Month 01, The Monthly Labour Force Survey (LFS) 2022 Month 12, The Monthly Labour Force Survey (LFS) 2022 Month 11, The Monthly Labour Force Survey (LFS) 2022 Month 10, The Monthly Labour Force Survey (LFS) 2022 Month 09, The Monthly Labour Force Survey (LFS) 2022 Month 08, The Monthly Labour Force Survey (LFS) 2022 Month 01, The Monthly Labour Force Survey (LFS) 2021 Month 12, The Monthly Labour Force Survey (LFS) 2021 Month 11, The Monthly Labour Force Survey (LFS) 2021 Month 10, The Monthly Labour Force Survey (LFS) 2021 Month 09, The Monthly Labour Force Survey (LFS) 2021 Month 08, The Monthly Labour Force Survey (LFS) 2021 Month 07, The Monthly Labour Force Survey (LFS) 2021 Month 06, The Monthly Labour Force Survey (LFS) 2021 Month 05, The Monthly Labour Force Survey (LFS) 2021 Month 04, The Monthly Labour Force Survey (LFS) 2021 Month 03, The Monthly Labour Force Survey (LFS) 2021 Month 02, The Monthly Labour Force Survey (LFS) 2021 Month 01, The Monthly Labour Force Survey (LFS) 2020 Month 12, The Monthly Labour Force Survey (LFS) 2020 Month 11, The Monthly Labour Force Survey (LFS) 2020 Month 10, The Monthly Labour Force Survey (LFS) 2020 Month 09, The Monthly Labour Force Survey (LFS) 2020 Month 08, The Monthly Labour Force Survey (LFS) 2020 Month 07, The Monthly Labour Force Survey (LFS) 2020 Month 06, The Monthly Labour Force Survey (LFS) 2020 Month 05, The Monthly Labour Force Survey (LFS) 2020 Month 04, The Monthly Labour Force Survey (LFS) 2020 Month 03, The Monthly Labour Force Survey (LFS) 2020 Month 02, The Monthly Labour Force Survey (LFS) 2020 Month 01, The Monthly Labour Force Survey (LFS) 2019 Month 12, The Monthly Labour Force Survey (LFS) 2019 Month 11, The Monthly Labour Force Survey (LFS) 2019 Month 10, The Monthly Labour Force Survey (LFS) 2019 Month 09, The Monthly Labour Force Survey (LFS) 2019 Month 08, The Monthly Labour Force Survey (LFS) 2019 Month 07, The Monthly Labour Force Survey (LFS) 2019 Month 06, The Monthly Labour Force Survey (LFS) 2019 Month 05, The Monthly Labour Force Survey (LFS) 2019 Month 04, The Monthly Labour Force Survey (LFS) 2019 Month 03, The Monthly Labour Force Survey (LFS) 2019 Month 02, The Monthly Labour Force Survey (LFS) 2019 Month 01, The Monthly Labour Force Survey (LFS) 2018 Month 12, The Monthly Labour Force Survey (LFS) 2018 Month 11, The Monthly Labour Force Survey (LFS) 2018 Month 10, The Monthly Labour Force Survey (LFS) 2018 Month 09, The Monthly Labour Force Survey (LFS) 2018 Month 08, The Monthly Labour Force Survey (LFS) 2018 Month 07, The Monthly Labour Force Survey (LFS) 2018 Month 06, The Monthly Labour Force Survey (LFS) 2018 Month 05, The Monthly Labour Force Survey (LFS) 2018 Month 04, The Monthly Labour Force Survey (LFS) 2018 Month 03, The Monthly Labour Force Survey (LFS) 2018 Month 02, The Monthly Labour Force Survey (LFS) 2018 Month 01, The Monthly Labour Force Survey (LFS) 2017 Month 12, The Monthly Labour Force Survey (LFS) 2017 Month 11, The Monthly Labour Force Survey (LFS) 2017 Month 10, The Monthly Labour Force Survey (LFS) 2017 Month 09, The Monthly Labour Force Survey (LFS) 2017 Month 08, The Monthly Labour Force Survey (LFS) 2017 Month 07, The Monthly Labour Force Survey (LFS) 2017 Month 06, The Monthly Labour Force Survey (LFS) 2017 Month 05, The Monthly Labour Force Survey (LFS) 2017 Month 04, The Monthly Labour Force Survey (LFS) 2017 Month 03, The Monthly Labour Force Survey (LFS) 2017 Month 02, The Monthly Labour Force Survey (LFS) 2017 Month 01, The Monthly Labour Force Survey (LFS) 2016 Month 12, The Monthly Labour Force Survey (LFS) 2016 Month 11, The Monthly Labour Force Survey (LFS) 2016 Month 10, The Monthly Labour Force Survey (LFS) 2016 Month 09, The Monthly Labour Force Survey (LFS) 2016 Month 08, The Monthly Labour Force Survey (LFS) 2016 Month 07, The Monthly Labour Force Survey (LFS) 2016 Month 06, The Monthly Labour Force Survey (LFS) 2016 Month 05, The Monthly Labour Force Survey (LFS) 2016 Month 04, The Monthly Labour Force Survey (LFS) 2016 Month 03, The Monthly Labour Force Survey (LFS) 2016 Month 02, The Monthly Labour Force Survey (LFS) 2016 Month 01, The Monthly Labour Force Survey (LFS) 2015 Month 12, The Monthly Labour Force Survey (LFS) 2015 Month 11, The Monthly Labour Force Survey (LFS) 2015 Month 10, The Monthly Labour Force Survey (LFS) 2015 Month 09, The Monthly Labour Force Survey (LFS) 2015 Month 08, The Monthly Labour Force Survey (LFS) 2015 Month 07, The Monthly Labour Force Survey (LFS) 2015 Month 06, The Monthly Labour Force Survey (LFS) 2015 Month 05, The Monthly Labour Force Survey (LFS) 2015 Month 04, The Monthly Labour Force Survey (LFS) 2015 Month 03, The Monthly Labour Force Survey (LFS) 2015 Month 02, The Monthly Labour Force Survey (LFS) 2015 Month 01, The Monthly Labour Force Survey (LFS) 2014 Month 12, The Monthly Labour Force Survey (LFS) Month 11, The monthly Labour Force Survey (LFS) supplements the quarterly survey with a higher frequency of numbers on employment and unemployment and is published earlier., Statistical presentation, The monthly labor force survey sheds light on the 15-74-year-old population's attachment to the labor market. Here, the population is divided into two main groups, namely people in the labor force and people outside the labor force. Persons in the labor force are further divided into two groups: employed and unemployed (LFS unemployed)., Read more about statistical presentation, Statistical processing, The monthly Labour Force Survey is based on sample with interviews and the figures are weighted with administrative resources. Due to the smaller sample size, the calibration of the weights is carried out using slightly more aggregated data than the quarterly LFS. Following the calibration, the series are benchmarked to their quarterly counterpart and seasonally adjusted. , The figures for the labour market status in December 2024 are partly based on information from administrative registers., Read more about statistical processing, Relevance, The monthly LFS supplements the quarterly LFS. Due to the smaller sample size in the monthly LFS, only aggregated series on the unemployment rate, employment rate and labour market participation rate are published.. The monthly results give a quick on going update on the development in the employment and unemployment. The monthly results are used by different users e.g. ministries, international organizations and journalists, but mainly by Eurostat., Read more about relevance, Accuracy and reliability, As a result of the smaller sample size and the lack of persons overlapping over between months the quality is lower in the monthly results compared to the quarterly results. This means that only selected key numbers on employment and unemployment are published. , Read more about accuracy and reliability, Timeliness and punctuality, The Monthly Labour Force Survey is published at the end of the following month from the reference month. The survey is published without any delays in relation to the scheduled date., Read more about timeliness and punctuality, Comparability, In Eurostat's database the Monthly LFS exists back to 1983. This series, however, has a starting point in January 2008. This constitutes a break in series, which must be taken into consideration if long time series are constructed. Data is delivered to the Statistical Office of the European Union Eurostat monthly, where data for all EU countries can be found. Concerning this, one has to be aware of the methodological differences in producing the monthly data in all the EU countries ., Read more about comparability, Accessibility and clarity, The Monthly LFS is published in the table , AKU111M, : Labour force status in percentage by seasonally adjustment and employment status , The difference between the two unemployment figures is described here , Unemployment concepts, ., Data is every month and every quarter delivered to the Statistical Office of the European Union, , Eurostat, , where data for all EU countries can be found., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/the-monthly-labour-force-survey--lfs-

    Documentation of statistics

    Specifically about re-proposals

    If you need to update a project that has already been approved and created, a re-proposal is required. This means that your project proposal must be updated in Denmark’s Data Portal and re-assessed by an employee from Research Services., You must make a re-proposal, if you want to update the existing data of your project, so that it is supplemented with additional years in the same registers. The same applies if you want to add entirely new data (registers/variables), whether it is new data from Statistics Denmark’s basic data, from external providers and/or from your own data. , Video guide for creation of re-proposal (in Danish), The procedure for re-proposals varies depending on which type you are making. Get help with the different types of re-proposals in the guides at the bottom of the page., General principles for re-proposals of projects, Data relevance and data minimisation, a. The statement of the purpose of data must be specific, precise and easy-to-understand., b. The combination of register units and types of populations must be justified., c. “Additional data” must also be covered in terms of relevance to society/purpose/description., The proposal must give a comprehensive view of the project, while the appendix has the details, a. It must be possible to read the proposal and the appendix both separately and as coherent documentation of a project.,  , Guide for re-proposal of an approved project created before Denmark’s Data Portal, Projects that were created and approved before we transitioned to Denmark’s Data Portal (projects created before 15 September 2022) already exist in Denmark’s Data Portal, but the project proposal is blank. When you are going to re-propose the project for the first time, you have to complete the project proposal.  ,  , Project details, Text from the original project proposal must be entered in the fields ‘Purpose’, ‘Description’ and ‘Relevance to society’., If relevant, add more text to ‘Purpose’, ‘Project description’ and ‘Relevance to society’. Note that the project proposal must meet Research Services’ requirements to project proposals., Check also that the end date matches how long you expect to need access to data, and choose who can approve the project proposal among the signatories of the institution., Project access, Check if the right authorised users have been granted access to the project. Add or remove project access, if you wish. If users, to whom you want to give access, do not have access, an administrator or contact person with powers can add them by clicking the icon ‘Project access’ at the top of the workflow. This can also be done after approval of the project proposal. , Data content, Under Data content, the majority of basic data from the original project proposal has already been uploaded, but populations have not been described. Your originally loaded data content is located under ‘POP A – migrated data’ and is locked against editing. You must check for yourself if all your basic data has been loaded to POP A and, if relevant, add what is missing., Pay special attention to the fact that longitudinal and incident registers also need to be added. It is only possible to select these for the latest year and they may have been re-named. The most recent longitudinal and incident register must therefore be selected as documentation for the project. This also applies, even though the project has older versions of the register and you do not want to buy access to the more recent version., To update the data content in the re-proposal, you must:, Duplicate POP A to a POP B, so that they are identical., a) Copy data from ’POP A – migrated’ data to ’POP B Basic data’. You can copy all data from POP A by clicking the three dots to the right of the heading and select ’Duplicate population’. Add any data located in raw data that has not been migrated., b) It must be possible to read POP B as the project’s original/first population (if there are several populations)., In the field for POP B, you must insert the original description of the population under ’Description’., a) If you need to extend the population and have the same register extraction as the original population, you can write this under the description of POP B., b) If the extended population is to have a new or changed register extraction, it can be created as a new POP C with a separate data description., ’Additional data’ must only appear in one location: If you have additional data, this must not be added to POP A., a) Additional data is described as a whole under POP B or, if relevant, under the population it concerns. Data may only be described in one location., b) Under the additional data of any other populations, you must refer to the additional data of the first population., If you only want to update the project with more register years: Add the new years/variables and send an attachment to your contact person indicating which new variables/years you want for each register., Infrastructure, Under infrastructure, you can see on which server the project is located. In case of a re-proposal, you do not need to change anything., Summary, Check the content of your re-proposal here. Once you have completed the documentation of all data sources, you must send the re-proposal to the administrator of your institution by clicking ‘Submit to administrator’. The administrator will review the re-proposal before sending it to Research Services., If you yourself are an administrator of your institution or a contact person with special powers, you can send the re-proposal directly to Research Services. Click ‘Submit’., After that, Research Services will go through the proposal and make comments, if relevant. You are welcome to submit the proposal, even though you are in doubt about a few things. Later, we can then look at it together., If you already have a contact person from Research Services attached to your project, we recommend that you also send an email to your contact with an overview of what needs to be updated., Guide for re-proposal of an approved project created in Denmark’s Data Portal, If you have a project that has been created and approved in Denmark’s Data Portal, it is already on the platform with a completed project proposal. When you are going to re-propose the project in order to update data, you can use the old project proposal as a basis. The old project proposal will continue to be visible in Denmark’s Data Portal, and the system automatically marks any changes., When you are going to create a re-proposal, you must go to ‘Data orders’ and then click ‘Re-proposal’. Here, you will see a list of the projects you can access. Select the project that you want to re-propose. You are now automatically guided to a project proposal flow where you can add information to the existing project proposal. It is not possible to edit previously approved content., Project details, Under the first tab ‘Project details’, you will see the already existing project proposal to which you can add text. If relevant, add more text to ‘Purpose’, ‘Project description’ and ‘Relevance to society’. Note that the project proposal must meet Research Services’ requirements to project proposals., Check also that the end date matches how long you expect to need access to data, and choose who can approve the project proposal among the signatories of the institution., Project access, Check that the right authorised users have been granted access to the project. Add or remove project access, if you wish. If requested users do not have access, contact persons with powers or an administrator can add them by clicking the icon ‘Project access’ at the top of the workflow. This can also be done after approval of the project proposal., Data content, Under ’Data content’, you will find your originally loaded data content., Basic data, You can add data to the populations that have already been created and approved on the project. Click ‘Add data’ under ‘Data content’ to add basic data. Then select if you want ‘Basic data’ or ‘Additional data’, and select the population to which data should be linked. Subsequently, you can search for specific registers by means of search words or the subject structure. When you select a register, you can see the register coverage period and the variables included in the register, If you click ‘Add’, the register is added to the basket, and you must click it to select register period and variables., If you click ‘Select variables’, you go directly to the page where you can select period and variables., Additional data, If you want to update the project with data that is not from Research Services’ basic data, you must also click ‘Add data’ under ‘Data content’. Then select if you want ‘Basic data’ or ‘Additional data’, and select the population to which data should be linked. You now get to a page where you can see to which populations you are about to add data. Click ‘Add source’ and give the source a meaningful title and description. For example ’Danish cancer register (Source: The Danish Health Data Authority)’, ’Survey (Source: Statistics Denmark)’ or ’Danish laboratory database (Source DKKP)’. Upload list of variables and appendix to the project proposal., Populations, You can also create an entirely new population: Click ‘Create population’ directly under the heading ‘Data content’. For the new POP, you must enter a title, description and the basic data that it is going to tap into. Edit the population title and description by clicking the blue square with an arrow to the right of your population title. Here you must describe the requested population in non-professional terms. If the population is created on basic data, you must upload an appendix with a description of which registers, years and variables it must tap into., General recommendations for the data content, If your project has several populations with the same data content, you can describe these under the same population. In this event, indicate it clearly using subheadings in the free text field if there are several sub-populations. You can also create these as separate populations, such as POP A and POP B. In that case, you only need to add basic data to the first of the created populations, such as POP A. For the remaining populations, add an ‘Additional data’ source including a reference to the data basis of the first population, for example ‘see POP A for Data basis and Additional data sources’., If your project has multiple populations with different or partly different data content, you must create these as separate populations. Different data content must be added and described under the specific population to which data is to be provided., Note that it is not possible to edit population descriptions, once they have been approved. However, you can add data sources and change the description of ‘Additional data’ sources in connection with subsequent re-proposals., Infrastructure, Under infrastructure, you can see on which server the project is located. In case of a re-proposal, you do not need to change anything. , Summary, Check the content of your re-proposal here. When you have completed the documentation of all data sources, you must send the re-proposal to the administrator of your institution by clicking ‘Send to administrator’. The administrator will review the re-proposal before sending it to Research Services., If you yourself are an administrator of your institution or a contact person with special powers, you can send the re-proposal directly to Research Services. Click ‘Submit’., If you already have a project owner from Research Services attached to your project, you must also send an email to the project owner with an overview of the registers and years that must be updated., Re-proposal of subproject created , before, Denmark’s Data Portal, If your project was created before the launch of Denmark’s Data Portal, all the data on the project must be registered. Since one of the conditions for approving the project proposal is that the population is described and well defined, and regrettably, it is not possible to edit the description of POP A, you must create a new population. If the project consists of several populations, you must create a corresponding number., Create a new population, : Click ‘Create population’ under ‘Data content’. Edit the population title and description by clicking the blue arrow next to the population. Describe the requested population in non-professional terms. If the population is created based on data from Denmark’s Data Portal, you must upload an appendix with a description of the registers, years and variables it must tap into, so that it is possible to programme it. If it is an external population, you must describe it and upload an appendix with a description of the population., Add data from Denmark’s Data Portal, : Click ‘Add data’ and select either ‘Data from Denmark’s Data Portal’ or ‘Project database’. Select relevant populations and search for specific registers. Add registers to your basket to select register period and variables., Data from Project database, : Register already transferred data from the project database under ‘Data from Project database’ by indicating register name and year. If data exists in the project database, you should choose to register it here., Additional data, : Add registers that are no longer available in Data from Denmark’s Data Portal under ‘Additional data’. This includes historical data. Select ‘Additional data’ under data sources, indicate the name of the register and period, and indicate that it is historical data., Other data, : Add already approved data from sources outside Denmark’s Data Portal under ‘Additional data’. Describe any additional data on the project here, and upload a list of variables and documentation as an appendix, if so required. Examples could be the Danish cancer register or survey data from Statistics Denmark., Check, : Now check that all data provided on the project is documented. If registers or appendixes are missing, you can still add these., You are now ready to add new data. This is done as already described. Bought-in data from Denmark’s Data Portal must be registered as ‘Data from Denmark’s Data Portal’ on the project, transfer from the project database must be registered under ‘Data from Project database’ and external data must be added under ‘Additional data sources’. Note that you cannot select a register from both Denmark’s Data Portal and the project database. If you do not have all variables on the project database, you can buy-in the register from Denmark’s Data Portal. Your contact person in Research Services needs you to send an appendix with the registers, years and variables that you want for the re-proposal., Re-proposal of subproject created in Denmark’s Data Portal, It is possible to edit directly in data on the populations that have already been created and approved in the subproject. You can add bought-in data from Denmark’s Data Portal, register data from Denmark’s Data Portal extracted from the project database as well as register external data. Moreover, you can create new populations., Add data from Denmark’s Data Portal, : Click ‘Add data’ under ‘Data content’. Select either ‘Data from Denmark’s Data Portal’ or ‘Data from Project database’, and select the populations to which data must be attached. You can search for specific registers by means of search words or the subject structure. When you select a register, you can see its coverage period and the variables it includes. If you click ‘Add’, the register is added to the basket, where you can select register period and variables. If you click ‘Select variables’, you go directly to the page where you can select period and variables., Data from Project database, : Data that is to be transferred from the project database must be registered under ‘Data from Project database’ with register name and year. Please note that you cannot select a register from both Denmark’s Data Portal and the project database. If you do not have all variables on the project database, you can buy-in the register from Denmark’s Data Portal., Additional data, : You can add data that are not from Denmark’s Data Portal under ‘Additional data’ sources. This could be member data or data from the Danish Health Data Authority. For each additional data source, you must indicate a title and a description of data. The description must be telling and brief and may include specification of period and list of variables. If you have a list of variables, you can also upload this to the project., Create a new population, : Click ‘Create population’ directly under the heading ‘Data content’. Edit the population title and description by clicking the blue arrow next to the population. Describe the requested population in non-professional terms. If the population is created based on data from Denmark’s Data Portal, you must upload an appendix with a description of the registers, years and variables it must tap into, so that it is possible to programme it. If it is an external population, you must describe it and upload an appendix with a description of the population., Note that it is not possible to edit population descriptions, once they have been approved. However, you can still add data sources and change the description of ‘Additional data’ sources in connection with subsequent re-proposals., Infrastructure, Under infrastructure, you can see on which server the project is located. In case of a re-proposal, you do not need to change anything., Summary, Check the content of your re-proposal., When you have completed the documentation of all data sources, you can submit the project proposal for approval., If you are not the administrator of your institution or a contact person with special powers, the institution administrator must review and submit the project proposal to Research Services. Click ‘Send to administrator’., If you are the administrator of your institution or a contact person with special powers, you can submit the proposal directly to Research Services. Click ‘Submit’., If you already have a contact person from Denmark’s Data Portal attached to your project, we recommend that you also notify that person. 

    https://www.dst.dk/en/TilSalg/data-til-forskning/anmodning-om-data/saerligt-om-genindstillinger