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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

High performance computing

If you need high computing power for data analysis, modelling or machine learning, High Performance Computing (HPC) will give you access to an analysis platform that can handle complex calculations quickly and efficiently., HPC is a solution where your project is executed on a super computer in an HPC centre. Unlike traditional servers, HCP allows you to scale the computing power up or down according to your needs., Advantages of HCP:, High-performance:, Calculate and analyse large data volumes much faster than on regular servers., Adaptability:, Scale your capacity according to the project requirements., Storage:, HPC can store large volumes of data and quickly retrieve these from the memory., Not all projects require HCP. If you are working with small data volumes, which can be processed efficiently on a traditional server, a hosted server may be a more cost-efficient solution. If your analyses require extensive data processing, complex simulations or machine learning models, HPC will serve you well. To be able to use HPC for projects with data from Statistics Denmark, the HPC center in question must have entered an agreement with Statistics Denmark., Multiple HPC solutions – which one suits your needs?, Statistics Denmark offers three different solutions, which are outlined below. Read more, so you can choose the best solution., The API-solution, This solution is available to anyone who has an approved project in Denmark’s Data Portal (DDP) and an agreement with one of the HPC centers under the solution. You can find an updated list of the HPC centers included further down this page., With this solution, the user can decide whether data should be stored , both, on Research Services servers or a hosted server , and, the HPC center, or , only, at the HPC center. It is also possible to have some users associated with the project , only, in DDP, while others are linked to the project both in DDP , and, at the HPC center. This solution also allows you to connect HPC resources throughout the entire or parts of the project’s lifetime., NGC Solution, This solution is available for health related projects, as this is a requirement from NGC. The project must also be located on NGC for the entire duration of the project. An advantage with this solution is that you make use of SSPE (see below)., Shared Secure Processing Environment (SSPE) Solution, This solution is developed for projects that have their own additional data that needs to be linked to the project and where the data either:, is very large and therefore difficult and costly to send to Research Services for de-identification, or, for legal reasons, cannot be transferred to Research services servers., This solution means that Research Services can process the data directly on NGC’s servers. Read more about this further down the page., Link HPC solutions to your project via the API solution, It is now possible to link a project in the Denmark’s Data Portal to an HPC center for a short or long period. Below, you can find answers to questions regarding the solution., Which HPC centers are included?, Statistics Denmark has entered into agreements with the following HPC centers:, Computerome (DTU), Read more at Computerome, GenomeDK (AU), Read more at GenomeDK, We expect more centers will be added to the solution, so the list may change over time., What does it cost to set up?, For the setup, Research Services invoices five hours according to the current hourly rate. In addition, billing for data extraction, consultation, disk usage, processing of additional data etc. are charged according to our normal rates. , You can see our current hourly rates here, The five hours do not cover the HPC center's costs for setting up the project in their environment or their operating costs. If you have questions about the prices of HPC centers, please contact them directly., How does the API solution work with external data?, External data that needs to be merged with Statistics Denmark’s bank of basic data must first be sent to the Research Service for de-identification. The external data will then be transferred to the project environment at the HPC center., Which projects can use the program?, All projects that are either on Research Services servers or a hosted server can purchase this solution, provided they have entered into an agreement with the relevant HPC center., The project must have an approved project proposal before Research Services transfers data to the HPC area. Since this is an add-on service, you can prepare and submit your project proposal to Research Services before the agreement with the HPC center is finalized. The data you are provided with will only be extracted and transferred to the HPC center once the project proposal is approved and Research Services has received a copy of the written agreement between the institution and the HPC center. Contact the HPC center directly if you are interested in this type of agreement., Note, : Projects located at the National Genome Center (NGC) cannot use this solution., How to get started?, First, you must have an agreement with one or more HPC centers. This agreement is valid for the entire institution. Once the agreement with the HPC center is in place, you can prepare a list of which users on which projects should have access to which HPC center., The list should be sent to your contact person at Research Services, along with a copy of the agreement with the HPC center, who will ensure that access is granted to individual users under the relevant projects., Do I have access to Statistics Denmark’s bank of basic data on both the research machine and in the HPC environment?, It is up to the individual project whether Statistics Denmark’s bank of basic data should be stored both on the research machine (or a hosted server) and at the HPC center, or only at the HPC center., This means that some users on a given project can have access to both the research machine and HPC resources, while others only have access to the research machine. Please note that if you choose to have data in both environments, you will still need to pay the normal rate for disk usage on the research machine/operating costs on your hosted server., If the project should only process data in the HPC environment, it is not necessary to store data on the research machine. In this case, you can inform your contact person at Research Services that the copy of the data on the research machine can be deleted after a copy is transferred to the HPC area., The programs (scripts) used to extract data will be saved so they can be re-executed later if needed. In this case, a framework agreement is created to cover the hours Research Services use to re-deliver the data., Note, : It is a requirement that the project has an active server space either on DST’s own servers or a hosted server, as this is used to retrieve files. Additionally, login to the HPC environment must be done via the Denmark’s Data Portal. , HPC for health projects via the Danish National Genome Center (NGC), If you are working with data from Statistics Denmark and you have a project with a health-related purpose, we offer an HPC solution via the Danish National Genome Center (NGC). The HPC solution uses a , One-Node Architecture, , where calculations are carried out on one server at a time. The HPC center is located outside Statistics Denmark, but the project will be created and controlled by Statistics Denmark in the same way as other projects. You will still manage the project via Denmark’s Data Portal., To attach a new or existing project to NGC, you must:, Have created a supplementary agreement to your data processing agreement., (Re-)propose you project for approval with Research Services., Make an agreement with NGC., Be able to engage in dialogue with technical staff about the set-up of server access to NGC., Payment for use of the HPC center is settled directly with the center. For the use of NGC’s HPC infrastructure, you pay for installation, renting of hardware, operation and support., Further information about conditions for login with NGC and prices for installation, renting of hardware, support and operation, (pdf, in Danish), SSPE - New opportunity for Data Sharing through the HPC Solution for Health Projects, If you wish to work with very large volumes of data, on a project with a health-related purpose, Statistics Denmark now offers a new project setup through our High Performance Computing (HPC) solution at the Danish National Genome Centre (NGC)., The Shared Secure Processing Environment—known as the SSPE solution—allows third party data providers to make their data available within a closed environment which, in turn, enables users to analyze these data alongside data from Statistics Denmark. This makes it possible to support projects where the volume of the external data exceeds the storage and analyzing capacity of FSE's servers. Furthermore, it ensures that researchers bound by legal agreements not to transfer external data to third parties—including Statistics Denmark—can comply with those obligations., The SSPE solution is an advancement of the existing NGC setup. It is not meant as a replacement for the current setup, but as an additional offer to projects requiring greater analytical capacity. The same terms and conditions apply to projects wishing to use the SSPE solution as to those using the NGC solution., Contact and questions, Questions regarding the HPC center, , software in the HPC environment, prices for HPC resources, or setup/maintenance of the HPC environment: Contact the relevant HPC center directly., Questions regarding API and SSPE, Statistics Denmark, : Contact your contact person at Research Services or write to , forskningsservice@dst.dk, . ,

https://www.dst.dk/en/TilSalg/data-til-forskning/analyseplatform/high-performance-computing

Authorisation of institutions

Institutions must be authorised in order to get access to data under Statistics Denmark’s microdata schemes. This page has information on the possibilities of obtaining authorisation, educational authorisation or client authorisation and on the application process., Apply for authorisation, To get access to pseudonymised data under Statistics Denmark’s microdata schemes, your institution must be authorised. To obtain authorisation, an institution must have a permanent research/analysis environment, which involves e.g. employing a head of staff and at least three experienced researchers/analysts. To apply for authorisation, you must complete the application form at the bottom of this page., Read more about our requirements to your institution and the application under ‘Types of institutions eligible for authorisation’ and ‘Requirements to application for authorisation’ below., Without authorisation – what are the options?, If your research/analysis environment is not eligible for authorisation, or if you do not want to be authorised, you have the following options:, You can get Statistics Denmark’s Consulting team to perform the analytical task for you. , See how you commission a task with Statistics Denmark Consulting, You can commission a private consultancy that is already authorised to make the analytical task for you. For this, you need a client authorisation. , Note: , This solution is only offered to public institutions and requires that the performing consultancy has access to the data you need, or that you are granted an exemption allowing the consultancy to get access. Find further information under ‘Requirements to application for client authorisation’ below., Apply for client authorisation, To be authorised as a client, you must complete the application form at the bottom of this page. Please note that there are special requirements to the completion of specific fields in the form. Look for guidance under ‘Requirements to application for client authorisation’., Types of institutions that can be authorised, The below environments located in the Danish Realm may be considered for authorisation, if these comply with the application criteria:, The user group is defined under the framework agreement between Statistics Denmark and Danish e-infrastructure Cooperation (DeiC): Publicly funded research and analysis environments (i.e. university departments, government research institutes, ministries, government agencies etc.) as well as charitable foundations in Denmark., In the private sector, the following Danish organisations are eligible for authorisation:, Interest organisations. In this case (and in the case of enterprises), it is relevant to look at the ownership, the staff (education) as well as the tasks solved for public customers in particular. It may be necessary to make inquiries with these customers to get an opinion., Consultancies. However, consultancies cannot get access to business data. The director general may grant an exemption to consultancies allowing them to gain access to business data when carrying out fact-finding or research on business data for a public authority or an interest organisation, provided that this happens with the authority or organisation as data controller., Other enterprises may be authorised but may not get access to data that includes business data., Specifically for Greenland and the Faeroe Islands, According to the General Data Protection Regulation, the Faroe Islands and Greenland are third countries, which is significant in terms of obtaining authorisation:, The Faeroe Islands has obtained an adequacy decision by the European Commission, which means they can be approved as a secure third country. Institutions and enterprises from the Faeroe Islands can thus obtain authorisation on an equal footing with those from Denmark., Greenland has not obtained an adequacy decision, which is why Greenlandic institutions must enter into transfer agreements to obtain authorisation. Until Greenland is approved as a safe third country, authorisation can only comprise public institutions., For both the Faroe Islands and Greenland, the authorised institution must obtain approval from the Danish Data Protection Agency if it wants access to sensitive data according to the Danish Data Protection Act., Requirements to application for authorisation, In order to be eligible for authorisation, your institution must have a high and sustained focus on data security. Statistics Denmark has determined four requirements that you must be able to meet:, In the research/analysis environment, there must be a personnel manager who accepts the responsibility for the authorisation and for overseeing that the rules in the authorisation agreement are kept. This includes continuously ensuring that all persons in need of access are familiar with the rules on access to data and the rules on transfer of results., As a minimum, there must be at least three people in the environment with specific experience in handling large data volumes and solid knowledge of our data security rules. Experience may have been gained, for example, through previous access to pseudonymised data under Statistics Denmark’s microdata schemes, or experience otherwise gained with the handling of register data., For private environments, the research/analysis environment must be at least one year old to be considered for authorisation., The environment must appear from the institution website., If you are a public institution, and your research/analysis environment does not meet the requirements, you can consider commissioning an already authorised private consultancy to solve the analytical task for you. For this, you need a client authorisation. Read more under ‘Requirements to application for client authorisation’., If you have questions about the application for authorisation, please contact , FSEautorisation@dst.dk, . Please write ’Re. application for authorisation’ in the subject field., Requirements to application for Educational authorisation, To gain access to the Master’s Thesis Scheme, an Educational Authorisation is required. In order to be approved your educational institution must be affiliated with a recognized public research university in Denmark that offers Master’s degree programs concluding with a Master’s thesis., In addition, your institution must maintain a strong and continuous focus on data security. Statistics Denmark has established three requirements that must be met:, In the research/analysis environment, there must be a personnel manager who accepts the responsibility for the authorisation and for overseeing that the rules in the authorisation agreement are kept. This includes continuously ensuring that all persons in need of access are familiar with the rules on access to data and the rules on transfer of results., As a minimum, there must be at least three people in the environment with specific experience in handling large data volumes and solid knowledge of our data security rules. Experience may have been gained, for example, through previous access to pseudonymised data under Statistics Denmark’s microdata schemes, or experience otherwise gained with the handling of register data., For private environments, the research/analysis environment must be at least one year old to be considered for authorisation., The environment must appear from the institution website., If the above requirements can be met and you wish to create an Educational Authorisation, please include the following in the application form under "Kort beskrivelse af jeres forsknings-/analysemiljø":, “Educational Authorisation requested for educational institution with the following authorisation number at Statistics Denmark .”, For questions or if you wish to establish a shared Educational Authorisation for several educational institutions under the same faculty/department, please contact , FSEautorisation@dst.dk, . Include “Reg. application for Educational Authorisation” in the subject line., Requirements to application for client authorisation, To be considered for client authorisation, you must enter a cooperation agreement with a private consultancy that already holds an authorisation. In that case, the analytical task will be carried out at your/the client’s responsibility, but based on the specialised environment at the consultancy charged with the task., Client authorisations are only offered to public institutions and require that the performing consultancy can get access to the data you need. Please inquire with the consultancy if this is the case before you apply for a client authorisation., Note:, If you need business data with limited access, you can apply for an exemption on behalf of the consultancy. Read about the possibility of applying for an exemption under , Access to business data, ., You cannot apply for an exemption until you have been client authorised., Guide to application for client authorisation, To apply for a client authorisation you must use the same form as for an application for authorisation (bottom of the page)., All fields in the form must be completed as specified, except for these six:, Under ’Name of institution’ you must add ’- Client authorisation’ , [Example: Agency for xxx - Client authorisation] , Under ‘Name of person responsible for authorisation (head of staff)’, you enter the name of the head of staff in your institution who is going to act as the person responsible for authorisation. For the person in question, this involves e.g. assigning roles in Denmark’s Data Portal and acting as data controller without any supervisory obligation. The supervisory obligation lies with the consultancy charged with the task. Read more about the division of roles under , User roles, ., Under ’Brief description of your research/analysis environment’, you must state the name and authorisation number (1-3 digits) of the consultancy charged with the task , [Example: Name of consultancy, 123], Under ’Number of researchers in your research/analysis environment’, you must enter ’0’, Under ’Number of people in the environment who have specific experience in handling register data/large volumes of data, you must enter ’0’, Under ’Link to the environment website’, you must enter your institution website., If you have questions about the application for client authorisation, please contact , FSEautorisation@dst.dk, . Please write ’Re. application for client authorisation’ in the subject field., How Statistics Denmark assesses applications for authorisation and client authorisation, Assessment of application for authorisation, To assess whether you can be authorised, we make a specific assessment based on your research/analysis environment. In doing so, we focus on your competences in data management and your knowledge of the data security rules that apply for access under Statistics Denmark’s microdata schemes., All authorisations need approval from the director general of Statistics Denmark., If you are approved for authorisation, you must enter into a data processor agreement with Statistics Denmark., Assessment of application for client authorisation, To obtain a client authorisation, your research/analysis environment does not need to be assessed by Statistics Denmark. This is because your analytical tasks will be handled by an authorised consultancy., In the assessment of your application for a client authorisation, Statistics Denmark focuses on whether you are a public institution and whether you have appointed a head of staff as responsible for authorisation., If you are approved for a client authorisation, you must enter into a data processor agreement with Statistics Denmark., Other agreements, documents and guides (in Danish), Autorisationsaftale, Databehandleraftale (pdf), Tilknytningsaftale, Brugeraftale, Read about the rules on transfer of analysis results, Please refer to Statistics Denmark’s Data confidentiality policy and Information security policy, If you have questions about the application for authorisation or client authorisation, please contact , FSEautorisation@dst.dk, .

https://www.dst.dk/en/TilSalg/data-til-forskning/autorisering-af-institutioner