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Rules for working with microdata

Gain an overview of the most important rules and guidelines users of the microdata schemes must observe when working with microdata on Statistics Denmark’s researcher machines. Note: Non-compliance may involve sanctions.,  , Where can you access microdata on Statistics Denmark’s researcher machines? , Working with microdata under the microdata schemes in your workplace (the authorised institution) and via your home workplace is allowed. It is important that unauthorised persons do not get access to or a view of your work on the researcher machines. By “unauthorised”, we mean, for example:, Employees and colleagues who are not associated with the project you are working on, Business partners who are not associated with the project you are working on, Family, Friends, Other people, such as workmen in your home, This means that you are not allowed to work on Statistics Denmark’s researcher machines in public spaces, such as trains, buses, libraries, your local coffee shop or on public networks in general. Furthermore, you must always log out of Statistics Denmark’s researcher machine if you leave your screen temporarily, regardless whether it is just briefly or for a longer time. Consequently, it is not enough to switch to a screen saver – the access to the researcher machines must be cut off completely., Co-operation and sparring – what is allowed?, You are allowed to show your screen to persons who have approved access to the data that you are working with. If you need help or guidance, you must therefore first ensure that the person in question has access to the same project as you. Pay attention to the following:, Never leave your screen to anyone while they are helping or guiding you., If you want to share files, you must indicate the file path, so that the person can access the files via his or her own user access., If you want to spar with a person or for example, your contact person in Denmark’s Data Portal via email, and you need to provide examples, you must never include actual data or information from Statistics Denmark’s researcher machines. Always use fictitious figures and examples., Working with microdata – what is not allowed? , Below is a list of actions that are not allowed: , Note, : The list is not exhaustive:, You may not attempt to identify statistical units, such as households, businesses or individuals – yourself included – in the data that you get access to under the microdata schemes., You are not allowed to share your user access to Statistics Denmark’s researcher machines with anyone, and the passwords you are given, are personal and may never be disclosed. If you suspect that anyone knows your password, you must change it immediately., You may not let unauthorised persons get access to or view of your work on Statistics Denmark’s researcher machines. This rule applies, whether you do so deliberately or fail to pay attention. “Unauthorised person” means anyone not associated with the project you are working on. , You are not allowed to transfer data from the researcher machine to your own computer, to paper, email or any other medium or means, for example between Statistics Denmark’s researcher machines and the user interface in DDP App. It is thus strictly forbidden to copy, transcribe or illustrate information from Statistics Denmark’s researcher machines – regardless of purpose., You may not take photos of Statistics Denmark’s researcher machines. This ban applies to all types of images, including screendumps and snapshots or photos taken with your mobile phone, iPad or any other electronic devices., You are not allowed to send information from Statistics Denmark’s researcher machines via email to colleagues, neither business partners nor Denmark’s Data Portal. If you are to describe your data set or a problem, you must always use fictitious examples. Actual data or information must never be part of it.,  , Are you in doubt about the rules? This is how you get answers, If you are in doubt or have questions about Statistics Denmark’s rules for working with microdata on the researcher machines, you can ask for help from the person responsible for authorisation in your institution. In case of questions about a specific project, you must make sure that the person whom you ask for guidance, has access to the same project as you, before you show your screen to that person., In case of questions of a more general nature, you can also contact Denmark’s Data Portal at , FSEHjemtag@dst.dk, . In your request, you must indicate your ident and, if relevant, your project number. , Note, : If you want to describe a data set or what you suspect could be microdata, you must never include actual data or information. Always use fictitious figures and examples., Breach of the rules? This is how you handle it, If you fail to comply with Statistics Denmark’s rules or you suspect that you have failed to do so, you have a duty of notification. If you comply with your duty of notification, this will be regarded as a mitigating circumstance., Please notify both the person responsible for authorisation in your institution and Denmark’s Data Portal. You notify Denmark’s Data Portal by sending an email to , FSEHjemtag@dst.dk, with the following: , Your ident , Project number, if any, A description of the breach or where you suspect a breach, Date and time of the breach , If the breach involves files, for example files you have transferred, image files on your computer, in your mailbox or similar, you must delete them immediately from your PC, DDP App, mail folders etc. and inform about this in your email to Denmark’s Data Portal. ,  , Data security and transfer – your responsibility, As a user of Statistics Denmark’s researcher machines, it is your responsibility to familiarise yourself with Statistics Denmark’s rules and to observe them. Accordingly:, You are responsible for your work on the researcher machines being in compliance with Statistics Denmark’s data security rules, and , You are responsible that any transfer of analysis results and other materials complies with Statistics Denmark’s transfer rules. Read more under Rules on transfer of analysis results, and, You are responsible for notifying Denmark’s Data Portal immediately, if you suspect that you or someone else has breached Statistics Denmark’s data security and transfer rules  , Non-compliance may involve sanctions. , Read more under Sanction rules, Guides, agreements and documents in relation to data security and responsibility, Statistics Denmark’s data security rules under the Microdata schemes, Rules for data safety under the microdata schemes (pdf), Statistics Denmark’s information security and data confidentiality policy , Information security and data confidentiality policy – Statistics Denmark, Agreements (in Danish), Autorisationsaftale (pdf), Databehandleraftale (pdf), Tilknytningsaftale (pdf), Brugeraftale (pdf)

https://www.dst.dk/en/TilSalg/data-til-forskning/regler-og-datasikkerhed/regler-for-arbejdet-med-mikrodata

Children and young people

How is the well-being of children and young people?, Note: Below, we provide links to Statistics Denmark and others  who make statistics on the subject. In some instances, the sources referred to below have content in Danish only or limited content in English., Statistics Denmark has statistics on how many children in Denmark are placed in out-of-home care and how many notifications of concern are made per year. You can also find statistics on support given to children, young persons and families that are in need of special help in everyday life. Find the statistics via the subject page:, Disadvantaged children and young people, The Danish Center for Social Science Research (VIVE) has released several publications on the lack of well-being of children and young people:, ", Børn og unge i Danmark - velfærd og trivsel, " (in Danish) looks into topics such as material wealth, poverty, housing, health, childcare in institutions, education, loneliness, crime, eating habits and spare time., ", SPOR – Børns udvikling og trivsel gennem livet, " (2021) (in Danish) is a report based on a longitudinal study of the development and well-being of children and deals with issues such as screen time, time in institutions, parents with a low level of well-being. , Feature page gathering statistics and releases on the lack of well-being of , children and young people placed outside the home, (in Danish). , ", Unges opfattelser af køn, krop og seksualitet, " (2018) (in Danish) is a survey of sexual experiences, body satisfaction, experiences of unwanted sharing of photographs and everyday life on social media for the 16-20-year-olds., The experience of 18-30-year-olds with sugar dating is examined in the quantitative study ”, Unges udveksling af intimitet for materielle goder, ” (in Danish)., You can also read about the lifestyle and health behaviour of young people in the national survey “Den Nationale Sundhedsprofil” from the Danish Health Authority:, You can see the results of the national health profile 2010, 2013, 2017, 2021 and 2023 in the database on the health of the Danes ", Danskernes Sundhed, " and the , related publications, (in Danish)., You can find historic information on the subject in the so-called , MULD surveys, (in Danish)., Two organisations, Børns Vilkår and TrygFonden, compile statistics on the prevalence of fourteen types of child neglect, whether in the home and close surroundings, in school and under the care of authorities and in society as a whole, Their status report on the neglect of children in Denmark, ", Status 2023 – Svigt af børn i Danmark, " (in Danish), includes information from the Agency of Family Law on the annual number of custody and parent visitation cases., Every four years, the Danish contribution to the international survey Health Behaviour in School-aged Children, ", Skolebørnsundersøgelsen, ", is published, last by the National Institute of Public Health (NIPH), with information on the health and well-being of children, their health habits and social relations., Knowledge and facts about so-called worrisome absenteeism can be found at:, Børns Vilkår: , Skolens tomme stole - rapport om skolefravær, (2020) (in Danish), VIVE: , Panelanalyse af bekymrende skolefravær,  (2020) (in Danish), In , "Børns digitale liv", (2023) (in Danish), published by Algoritmer, Data & Demokrati, the children themselves answer questions about their well-being, security and concerns when using digital media., How many children are victims of violence and abuse?, In StatBank Denmark, you will find a table of , Victims of reported criminal offences by type of offence, age and sex, ., Børns Vilkår is an organisation working to help children who feel neglected. They have published an analysis of physical and emotional abuse of children at home ", Vold mod børn i Danmark: Analyse af fysisk og psykisk vold i hjemmet, " (2022) (in Danish)., The report , "Status 2023 – Svigt af børn i Danmark", (in Danish) from Børns Vilkår and TrygFonden deals with the neglect of children in Denmark and contains a section on violence against children., The longitudinal study of the development and well-being of children, "SPOR – Børns udvikling og trivsel gennem livet",  (in Danish) from VIVE (the Danish Center for Social Science Research) contains information on the number of children experiencing a heavy-handed upbringing., VIVE has also gathered existing knowledge from research literature in their report on physical violence and sexual assaults against children: ", Fysisk vold og seksuelle overgreb mod børn, " (2021) (in Danish)., In 2017, Save the Children published the Danish report ", Kvinders vold mod børn, " (Women's violence against chrildren)., VIVE (then SFI) previously released the publication ", Vold og seksuelle overgreb mod børn og unge i Danmark 2016, ", which clarifies the scope of physical violence against and emotional abuse of children and young people., How do children and young people spend their spare time?, In , StatBank Denmark, you can find tables of children’s sporting activities and members of sports clubs by age., The StatBank Denmark tables are based on the surveys of Danes’ exercise and sports habits ", danskernes motions- og sportsvaner, " (in Danish) from The Danish Institute for Sports Studies., An article looks into the declining share of children and young people with after-school jobs: ", Andelen af børn og unge med fritidsjob faldt i 2020, “ (in Danish). The article is from the "Bag Tallene” series from Statistics Denmark and examines the development in children and young people with after-school jobs from 2008 onwards., The study , "Børn og unge i Danmark - velfærd og trivsel 2022",  (in Danish), released by VIVE includes questions about children and young people’s recreation activities in terms of computers, books, participation in sports, religious activities, parties and about their cultural experiences, such as visits to cinemas, theatres and museums. It also includes information on after-school jobs of the 15-year-olds and the 19-year-olds., From the Health Behaviour in School-aged Children 2018, a report has been released ”, Fysisk aktivitet og stillesiddende adfærd blandt 11-15-årige, ” (in Danish) on physical activity and sedentary behaviour among 11-15 year old children., See also:, Media usage by children and young people, see , FAQ on Media usage, ., Juvenile delinquency, see , FAQ on Crime, ., Bullying among children, see , FAQ on Bullying, ., Overweight among children, see , FAQ on Overweight and BMI, ., The mental health of children and young people, see , FAQ on Stress and mental disorders, ., Young people and alcohol / Young people and drugs, see , FAQ on Abuse/Addiction, .,  , [This page was last reviewed in July 2025]

https://www.dst.dk/en/informationsservice/oss/unge

Health and diseases

How many are suffering from various diseases? And how many go through surgery?, Note: Below, we provide links to Statistics Denmark and others who make statistics on the subject. In some instances, the sources referred to below have content in Danish only or limited content in English., Where can I get a general overview of the population health?, The Danish Health Authority and the National Institute of Public Health (NIPH) are behind the National Health Profile, which includes e.g. data on health behaviour, weight, self-assessed health and morbidity:, The most recent publications on the national health profile is ", Danskernes sundhed - Den nationale sundhedsprofil 2021, " and the mid-term survey ", Danskernes sundhed 2023, " (in Danish), Results from the surveys 2010, 2013, 2017, 2021 and 2023 are available in the database , "Danskernes Sundhed”,  (in Danish), Figures from 1987, 1994, 2000 and 2005 are available in the health and morbidity report ", Sundhed og sygelighed i Danmark 2010, “ (in Danish), The National Institute of Public Health (NIPH) has , publications,  on health-related population surveys as well as special analyses based on these surveys., How often and how are we in contact with the health authorities?, On Statistics Denmark’s , subject page on health,  and in , StatBank Denmark, , you can find tables on visits to physicians, admissions to hospital, bed days etc., How many are suffering from various diseases?, The Danish Health Data Agency is responsible for the National Health Registers and also publishes figures and analyses on i.a. eating disorders, dementia, schizophrenia, autism, epilepsy, osteoporosis, COPD, cancer, diabetes and fertility treatments., Read about the , National Health Registers, Figures and analyses on , Sygdomme og behandlinger, Diseases and treatments - in Danish), At the request of the Danish Health Authority, the National Institute of Public Health (NIPH) has carried out a major study of , the burden of disease in Denmark, . In February 2023, updated versions of the reports on diseases and risk factors were published., "Sygdomsbyrden i Danmark - Sygdomme, " , This report (in Danish) compares a number of disease groups - different types of cancer, diabetes, depression, anxiety, schizophrenia, dementia, ischemic heart disease, apoplexy, Chronic Obstructive Pulmonary Disease (COPD), pain in the neck and lower back, osteoarthritis and alcohol-related morbidity based on various parameter, s such as prevalence, mortality, treatment, sickness absence, premature retirement, health economics and loss of production, "Sygdomsbyrden i Danmark - Risikofaktorer, ", This report (in Danish) deals with health risk factors, and looks into selected consequences of smoking, alcohol, physical inactivity, sleep disorders, loneliness, unhealthy diet, , severe obesity and air pollution, ", Sygdomsbyrden i Danmark: Ulykker, selvskade og selvmord, " , This report (in Danish) on accidents, self-harm and suicides was published in 2017, In September 2023, 'Local Government Denmark' (KL) published an analysis (in Danish) of the prevalence of seven chronic diseases: asthma, type 1 and type 2 diabetes, osteoporosis, COPD, rheumatoid arthritis and dementia. The analysis also looks at 'multi-disease' - the occurrence of at least two of the mentioned chronic diseases at the same time:, Kronisk sygdom i befolkningen, ("Chronic disease in the population" - in Danish), Other data sources on various diseases:, Cancer, Detailed statistics on cases of cancer are available via , Cancerregisteret,  and the database,  of the Danish Health Data Authority, , Sundhedsdatabanken, (in Danish), Asthma, dementia, diabetes, COPD, rheumatoid arthritis, osteoporosis and schizophrenia, The Danish Health Data Agency is also behind a register on , Udvalgte kroniske sygdomme og svære psykiske lidelser, (in Danish), Chlamydia, gonorrhoea, syphilis, HIV/AIDS and other infectious diseases , These are monitored by , Statens Serum Institut,  (SSI). This monitoring can also be followed in,  , figures, graphs and maps, at SSI (in Danish), Coronavirus / COVID-19, Statens Serum Institut (SSI) publish current and historical figures on , COVID-19,  8in Danish), How many go through surgery?, The Danish Health Authority publish , statistics on , selected plastic surgery procedures, (in Danish) and , surgery procedures for obesity, (in Danish), Other , operations , can be extracted from the National Patient Register using an advanced extraction tool, which is particularly targeted at users from the health sector or with a good understanding of data (in Danish), How many donate organs and how many transplants are performed?, At Danish centre for organ donation “Dansk Center for Organdonation” you will find information on , organ donation and organ transplantation, (in Danish) - including number of organ donors and waiting lists. In addition, , statistics on the organ donation area, are published regularly (in Danish), ScandiaTransplant has tables on performed , transplantations and waiting list figures,  for the Nordic countries., How extensive is the consumption of medicines? , Statistics Denmark has statistics on the sale of prescription drugs, which are coupled with information on the users' gender, age, geography, education and origin. See , News-articles, (in Danish) and tables in the , StatBank Denmark, The Danish Health Data Authority is responsible for the register of medicines statistics , Lægemiddelstatistikregisteret, (in Danish), which holds information on all sales of medicines in Denmark. Among other things, the register is used for analyses of the consumption of e.g. , antibiotics, medical cannabis and ADHD medication (in Danish), In the database , Medstat.dk, , you can create tables of the annual sales of medicines. Here you can also search using groups of medicines, ATC codes or product names, but NOT popular designations such as happy pills., Danmarks Apotekerforening,  is a Danish association of pharmacists, which publishes a yearbook “Lægemidler i Danmark” (in Danish) on medicines in Denmark and various analyses regarding the use of medicine., See also, For mental disorders, see FAQ on , Stress and mental health disorders, For the mental health of children and young people, see FAQ on , Stress and mental health disorders,  , [This page was last reviewed in January 2025]

https://www.dst.dk/en/informationsservice/oss/sygdomme-og-diagnoser

How to create a project proposal

When you want to create a new project in the DDP App, you must first complete a project proposal. The project proposal is the formal document that forms the basis for all subsequent data orders throughout the lifetime of the project., The project proposal is created under , Projects and Data, by clicking , New Project Proposal, . Here, you enter the title, institution, and scheme. Once this information has been provided, select , OK, to proceed to the project details., Project Details, Under , Project Details, , you enter the key information about the project, including , Purpose, , , Description, , and , Importance to society, . The purpose and description together must provide a clear and precise picture of what the project examines and why the analysis is relevant. , You must also provide an overall , population description, and a , description of external data, . These descriptions should give an overall insight into which populations and data sources the project includes, without too many details. The specific population creation and documentation of external data are provided in the data order. If the project requires a , full register extract, , this must be indicated and justified under the population description., In addition, you must specify the project’s , end date, and assign , signatories, to the project proposal. It is also possible to upload relevant attachments that support the content of the project., Remember to prepare a clear and precise project proposal that provides a solid basis for the assessment and approval of the project. Please note that the text of the proposal can be edited in a resubmission at a later stage if necessary, and the project’s end date can also be changed., Data Packages, In the project proposal, you must indicate which , data packages, the project requires. The data packages determine which registers you can later select in the data order., You select data packages by:, Going to the , View and add data packages, tab, Marking the data packages required for the project, Going to the , Argumentation, tab, For each selected data package, you must provide a brief but comprehensive argumentation explaining how the data package will be used in the analysis and why it is necessary for the project’s purpose. Only data packages with the status requested or approved can be selected in the data order., If you are unsure which data packages include the registers you need, you can create a data order directly via the link Create a new order. Here, you can select the registers you require, and the relevant data packages will then be added automatically to the project proposal. For further information, , read more about data orders,  ., Project Access, Project access, is the term we use for a user who has access to a project. The project’s contact person can manage access to the project. This includes:, Changing the contact person, Adding users, Removing users who are no longer affiliated with the project, Project access can be updated both before and after approval of the project proposal., Analysis Platforms, Here, you select the analysis platform (server) on which the project will be placed. Read more under , analysis platform, ., Summary, Finally, an overall summary of the project proposal is displayed. It is recommended to review all information carefully before submitting the project proposal to the institution’s administrator. The administrator can then forward it to Statistics Denmark., Questions and answers about the project proposal, Resubmit project, Do previously approved project proposals need to resubmit the project? , When a project is expanded with new packages, changes in the population, or external data within new subject areas, the project proposal must include the new data and must therefore always be resubmitted., In 2026, you may update the project proposal and submit it without charge –, however, this only applies to project proposals without expansions, ., When is the option ‘Resubmit project’ relevant? , A resubmission is required if the project is to be expanded. This may be due to the need for a new data package or new external data not covered by the approved project proposal., The project has not previously used the register selector to choose data for subprojects. Therefore, it is not approved for all packages. Should the project proposal be completed now, or can we wait until an expansion?, The project cannot order data from packages it is not approved for. The project proposal in its current form must therefore be completed and approved. This is done without charge if you can demonstrate that it does not constitute an expansion., Populations, What does “full register” mean when referring to populations?, Registers at Statistics Denmark are based on different populations depending on the subject area. For example, the PHD register includes only PhD students, while ADOP includes only adoptees. Therefore, the term , full register, is used rather than, full population, ., Can all project proposals choose full register extracts?, All projects that can provide strong, professional arguments for needing full register extracts may be granted access. Public institutions wishing to create one or more populations themselves may use this need as part of their professional argumentation., Data packages, Does a project proposal need to be approved again if a new data package is added?, Yes. The project proposal must be resubmitted in order to add a new data package. In the resubmission, you must describe the purpose and use of the data package’s subject area in the project description and provide a professional argumentation under , data packages, -> , argumentation, . The resubmission is then submitted and may be approved by Denmark’s Data Portal., Does adding a register within an already approved data package require new approval?, No. Once a data package is approved in the project proposal, all registers within that package may be ordered., Do the specific registers need to be ordered even if the data package is approved in the project proposal? , Yes. The project proposal covers approval of data packages. The specific registers are always selected in the data order., External data, Where and how should external data be described?, External data should be described at a general level in the project proposal at the subject-area level. The detailed description, including variables, source, and de-identification, is provided in the data order., Can we describe external data that has not yet been uploaded?, Yes. In the project proposal, you must describe the overall need for external data at the subject-area level. This can be done even if a long time is expected to pass before the data is submitted. Once the project proposal is approved, you may order external data within the described area without further resubmissions. This ensures that the project proposal does not need to be resubmitted when external data is ordered in the future., Appendices, Where should Appendices (e.g., SDS approvals) be uploaded?, Appendices may be added either to the most recently approved project proposal or when creating a data order. This is typically relevant for external data., Resubmission of a Project Proposal, If you need to expand or supplement an already approved project proposal, you can create a resubmission under Projects and Data. A resubmission is used, for example, if additional data packages are required or if there are major changes to populations or external data. , When submitting a resubmission, a new version of the project proposal is created based on the most recently approved version. The resubmission must be approved before the changes can be used in subsequent data orders.

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

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., 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., 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., 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 , DDVautorisation@dst.dk, . Please write ’Re. application for authorisation’ in the subject field., 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., 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’., 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 DDP App 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 , DDVautorisation@dst.dk, . Please write ’Re. application for client authorisation’ in the subject field.,  , The next steps and other documents, 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 , DDVautorisation@dst.dk, .

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

How to create a data order

A data order is a request used to specify which , registers, , , periods, , , populations, , and , external data, you wish to use in the project.,  , Via Projects and Data, Open , Projects and Data, Select , Reorder, Choose the project to which the data order relates, Via the Project Proposal, Go to the Data packages section in the project proposal, Follow the link Create a new order in the text at the top of the page, A new data order is created automatically, Once the data order has been created, a new section called , Order, appears in the navigation menu. Here, you can choose whether to order , register data, , , external data, , or , population creation, ., Please note that for a new project, a data order can be created once a project proposal has been set up, but it can only be submitted after the project proposal has been submitted., How to Order Register Data, Under Register Data, select the registers that should be included in or updated for the project. You can only choose registers from data packages that have either been requested or approved in the project proposal., If the project proposal has already been approved and you wish to use registers from data packages that are not yet approved, you must create a resubmission. Registers from new data packages will only be processed once the resubmission has been approved., Before selecting registers, you may specify the , Preferred order period, at the top of the page if the data should only be delivered for a limited time period., Under , Choose populations, , choose which populations the registers should be extracted for. Under , Distribution of registers on populations, , specify which registers should be extracted for which populations., If a full register extract is required, this must be indicated in the project proposal under the population description. The full register will then automatically appear as a population in the data order. If the project has previously been approved for a full population but this option does not appear, you should contact the project owner at Statistics Denmark., If a population is uploaded to the project, it must be ordered as a population creation, as this is a prerequisite for it to be selected., How to Order External Data, If the project uses data that is not register data, this should be added as , External Data, ., External data is added by:, Creating an order (see above), Selecting the plus sign next to , Processing of external data, Entering a title, data source type (dropdown menu), and a brief description, Uploading relevant attachments and variable lists. Read more about the requirements for , linking of external data, External data is currently linked to populations in the same way as register data, and the distribution is specified per population., How to Create a Population, If there is a need to create populations or if external populations are used, these must be created under , Population creation, . Once the population has been created, it can be selected in the data order., To create a new population:, Click , Description, under , Population creation, in the navigation menu, Select , Add Population, Provide a descriptive title, Briefly and precisely describe who the population includes and how it is defined, Upload any relevant attachments, You must also indicate whether the population is uploaded or should be created by Denmark’s Data Portal. If the population is created from a project database, this should be marked with a checkmark., If an existing population needs to be updated, select , New Version, . An overview of the project’s populations will be displayed. Select one, and the system will automatically create a new version that can be further edited., Summary, Once the data order has been completed, a full summary is displayed. It is recommended to review this carefully to ensure that all necessary data has been included. The data order can then be submitted., Note:, For new projects, the data order can only be submitted once the project proposal has been submitted. For already approved projects, a data order can always be submitted within the framework of the most recently approved project proposal., Questions and answers about data orders, Data orders, Is a data order always required to have data transferred to a project? , Yes. A data order must always be created and submitted, and it also serves as documentation of which data are included in the project., Can a data order contain multiple elements, such as register data, external data, and a population? , Yes. When completing the data order, you may submit your entire order at once. However, an expansion requires that the project proposal is updated. If you want to order register data from a new package and already approved external data, you may create two separate orders. The order for external data can be submitted immediately, while the order for register data requires a resubmission of the project proposal before it can be submitted., Can I cancel an order that has been created? , Yes. You can cancel an order before it is sent to Statistics Denmark by going to ‘Projects and data’ and clicking the three dots next to the order. Here you can select ‘Terminate order’., Does the data order replace the previous email correspondence with Statistics Denmark? , It does not fully replace previous email correspondence. Price quotes will still be sent by email, and clarifications and guidance will also continue to take place by email or phone., Data packages, Can data be ordered from data packages that are not approved? , Only if the project proposal is still open. When selecting a register from a non-applied-for data package, the package will be added to the project proposal. If the project proposal is already approved, registers can only be ordered from approved data packages. In this case, a resubmission of the project proposal is required to argue for the necessary data packages., Do data orders for register data need approval from Statistics Denmark when the data package is already approved?, No. A data order does not require additional approval, but a staff member at Denmark’s Data Portal must process and price the data order according to the project’s pricing model., Does it cost anything to add new registers within an approved data package?, It depends on the project’s pricing model. Projects on the new pricing model have all register orders within an approved package covered by the package payment and receive them without additional charges. Projects on the old pricing model pay for register deliveries as usual. All projects will transition to the new pricing model with their first data order after 31st of December 2026., Variables, If only a few variables from a register were previously delivered, can the entire register now be transferred?, As a general rule, all variables in a selected register are delivered. Unless you wish to limit the variables, no further action is needed., If a register is missing a variable in an existing project, what should be done? , If a variable is missing, you may order the register again and receive all variables., Populations, Do all projects need to specify a population?, Yes. All projects must specify at least one population in order to order data. For projects with multiple populations, you must indicate which population the data should be extracted for. For projects with only one population (e.g., full register extract), that population will be preselected. If new population delimitations are needed for register data, the population creation must be ordered. It can then be selected as the basis for delimiting register data., Must a population always be specified in a data order?, Yes. A data order must include an approved population (e.g., full register extract)., Project databases, How is register data handled if it was previously ordered directly from Statistics Denmark but now exists in the project database?, Each data order is independent of previous orders. The data order indicates whether data will be delivered from the project database or from Statistics Denmark. There are no restrictions based on where data was previously delivered from., Can future years still be pre-ordered?, Yes. When selecting register data, you can open each dataset via the shopping cart and complete ‘Pre-order’. At present, you must always create a data order when retrieving data from the project database., Why order population creation via the project database?, If the project requires a delimited population, the project database may choose to create it. If register data is needed that the project database does not have, Denmark’s Data Portal can extract register data for the population created by the project database., Can the data manager still create populations manually?, Yes. The data manager can still create populations independently.

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

Production and accounts of organic farming and horticulture

How big is the organic farming area in Denmark? How big is the production of organic milk and eggs, and how is the economy of organic production?

https://www.dst.dk/en/Statistik/emner/miljoe-og-energi/oekologi/produktion-og-regnskaber-for-oekologisk-landbrug-og-gartneri

Subject page

NABK36: Accumulation account and balance sheets, fixed assets (36a2-grouping)

stock / flow, assets, industry, price unit and time
1966-2024 (m DKK)

https://www.statbank.dk/NABK36

Tables in StatBank

SYGPS2: Recievers og public health insurance

region, type of benefits, age, sex and time
2006-2024 (Number)

https://www.statbank.dk/SYGPS2

Tables in StatBank

FORSK112: Enterprises expenses for own R&D

industry - size class - region etc., field of science and time
2017-2023 (m DKK)

https://www.statbank.dk/FORSK112

Tables in StatBank