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    Documentation of statistics: Participation at folk high schools

    Contact info, Science, Technology and Culture, Business Statistics , Søren Østerballe , +45 23 42 32 97 , SRB@dst.dk , Get documentation of statistics as pdf, Participation at folk high schools 2024 , Previous versions, Participation at folk high schools 2023, Participation at folk high schools 2022, Participation at folk high schools 2021, Participation at folk high schools 2020, Participation at folk high schools 2019, The statistics describes the participants at the Danish folk high schools according to age, gender, ancestry, education, income, area of residence by course length and school type. The statistics describes the students, which can be found in the statistics about supplementary courses - Folk High Schools, which gives a comprehensive description of the students participation in courses in folk high schools and free vocational schools., Statistical presentation, The statistics describes the background of the participants at Danish folk high schools. In addition the background of the participants is described in terms of age, gender, ancestry, education and income in actual number of participants as well as in full-time student equivalents. Course lengths are short, medium and long. The statistic results are presented in school years and calendar years. , Read more about statistical presentation, Statistical processing, The statistics are based on the coordination of several of Statistics Denmark's statistic registers. The participants are identified from the register of adult education and continuing training, which annually collects data from the folk high schools' administrative systems and manual reporting. From this register information about the participants course length and about the type of school. The population register provides information of age, gender, residence, ancestry and family relations. The Register of highest education provides information about education, and from the the Income Register data on income is drawn. , Read more about statistical processing, Relevance, The folk high schools are often debated in the media, but there is limited knowledge of the participants' background. The statistics shed light on the folk high school area with a focus on the participants' background in addition to the existing statistics about folk high schools, which focus on the participants' course activity. The statistics are relevant for supporting educational and cultural policy debates and can be used by individuals, journalists, authorities and interest groups, as well as the providers of the basic statistical data., Read more about relevance, Accuracy and reliability, The number of participants are derived from a total reports of the folk high schools. The primary sources of uncertainty are errors in the reports of the schools and the existence of any schools that Statistics Denmark is not aware of. When combining the student register with the other background registers some register information may be incomplete. These participants will be categorized as uninformed. As the register coverage for foreign participants is generally poorer, the proportion of uninformed will be higher for the medium and long courses. , Read more about accuracy and reliability, Timeliness and punctuality, The statistics is issued once a year, and publication is approximately 10 months after the end of collection period. In general, the statistic is published in accordance with the announced time. , Read more about timeliness and punctuality, Comparability, The statistics is comparable with Statistics Denmark's statistics on activity at folk high schools. There are also statistics on the activity at participants in Sweden and Norway. There are statistics covering activities at folk high schools back to 1901, but this statistic on the background of participants are comparable from 2016 onwards., Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank Denmark under the subject , Folk high school, . For further information, go to the , subject page, ., Researchers can get access to the detailed data of the basic registers according to special agreement with Statistics Denmark. Special analyses using anonymized data from the basic registers used for this statistic can be supplied by the DST Consulting. , Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/participation-at-folk-high-schools

    Documentation of statistics

    Documentation of statistics: Purchases and sales by enterprises

    Contact info, Short Term Statistics , Lina Pedersen , +45 51 68 72 80 , LIP@dst.dk , Get documentation of statistics as pdf, Purchases and sales by enterprises 2024 , Previous versions, Purchases and sales by enterprises 2020, Purchases and sales by enterprises 2019, The purpose of the statistics Purchases and sales by enterprises is to monitor business cycles in Denmark, based on sales of enterprises. The statistics is based on information on value added tax (VAT) reported by the enterprises to the Danish Tax Authorities. , The statistics is compiled and disseminated monthly and provides a short-term status of Danish business economy. The statistics have been published with variation in calculation methods and frequencies, since value added tax (VAT) was introduces in Denmark in 1967. In its current form, the statistics is comparable from 2011 onwards., Statistical presentation, Purchases and sales by enterprises is a monthly statement of purchases and sales of goods and services. The Statement is calculated in millions (Danish kroner). The statement is calculated at industry level defined in the Danish Industrial Classification of All Economic Activities 2007 (DB07). In addition, the statistics are divided into domestic purchases and sales. , Read more about statistical presentation, Statistical processing, Data originates from the Danish Tax Agency’s VAT registers plus information from the Central Business Register (CVR). Missing reports are replaced with imputed values, which are values estimated for each missing report. Imputed values are provisional and removed when the enterprise has reported VAT to the Tax Agency or the enterprise's business status in the CVR register is updated as inactive. The report follows the enterprise's main industry. , Read more about statistical processing, Relevance, Users of the statistics are ministries, researchers, students and organizations. Used for e.g. analysis of business trends and market research. In Statistics Denmark, the statistic provides supporting information to e.g. the National Accounts and statistics on foreign trade. Data contribute to the Danish compliance with requirements in the European business statistics regulation regarding turnover on industries on service and trade. In order to comply with requirements, monthly turnover must be distributed to Kind of Activity Units (KAU). A model is used to split legal units into KAU. , Read more about relevance, Accuracy and reliability, The statistics is based on VAT, reported by enterprises to the Tax Agency. The precision is strengthened by the fact that all companies subject to VAT are included. It is weakened by too little information sales not subject to VAT, e.g. train tickets and recycled clothes. The reliability increases as the enterprises report and revise values. It's possible to revise up to three years after submission. Values are considered final after three years. The sales are used as an estimate for turnover. Please notes that turnover includes more than sales, e.g. revenue from investments., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published approximate 40 days after the end of the reference period. The statistics contain a statement of sales that are subject to VAT. A statement of an enterprise's sales subject to VAT can be used as an estimate of the enterprise's turnover, which is why the statistics are used for short-term statistics on turnover. The publication date is announced at least 6 months in advance, and it is rare that a publication of the statistics is delayed. , Read more about timeliness and punctuality, Comparability, From 2010, the statistics are based on register data, the information on VAT that enterprise report to the Tax Agency. From the year 2010, data is comparable year to year, as it includes all enterprises that report VAT. The variable "salg i alt" can be used as estimate for the enterprises' net turnover and can be compared with the net turnover in other statistics, e.g. General Enterprise Statistics. When comparing, take into account the differences, for example which types of sales or revenue are included, whether excise duties are included, and whether smaller companies are included. , Read more about comparability, Accessibility and clarity, The statistics are published on the webpage , StatBank Denmark, under the topic Purchases and sales by Enterprises. Until December 2023, the statistics was published monthly in a Danish newsletter called NYT. , Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/purchases-and-sales-by-enterprises

    Documentation of statistics

    Certification of users

    All users working with data in one of Statistics Denmark’s microdata schemes must achieve certification. The certification ensures that everybody knows the data security rules under Statistics Denmark’s microdata schemes and feels safe using and transferring data. To ensure continued high focus on the data security rules, all users must subsequently achieve re-certification once a year.,  , Certification in practice, In practice, the certification takes place via Denmark’s Data Portal, where you must pass a test with questions on the data security rules described in , Research Services data security rules under the microdata schemes (pdf), . It is a good idea to read the rules before you start. You have three attempts per day to pass., See the video guide for user certification (in Danish), This is how you do it:, Log into Denmark’s Data Portal with your three/four-character ident and password., On your landing page, select the window ‘Learning and certification’. , Then select the tab ‘Certifications’. If it does not drop down automatically, click the small blue arrow., Answer the certification questions by clicking ‘Start certification’ and ‘OK’ in the info box that pops up., Answer the questions by clicking the option you believe to be correct., When you have answered all the questions, you click the button ‘Submit answer’, which has turned blue meanwhile., If you answer all ten questions correctly, you have passed the certification and you are considered able to handle data in accordance with our data security rules., Under ’Result’, your status will be indicated as ’Passed’, and a green info box appears with the text ’Congratulations, you have passed’., Under ’Resultat’ vil din status figurere som ’Bestået’, og der vises en grøn infoboks med teksten ’Tillykke, du har bestået’. , If you do not answer all ten questions correctly, you can see under ’Result’ how many questions you answered incorrectly in your attempt and how many remaining attempts you have. Furthermore, a red info box appears with the text ‘Sorry, you have not passed’., a) If you have more attempts left and want to re-take the test, press ’Certification front page’ and start over. Note that you have three attempts per day and that the questions change from time to time. Consider re-visiting the data security rules, before you try again., b) If you do not have any attempts left, your access to your projects will be locked for 24 hours. The small watch icon indicates when the 24 hours are up. After that, you can take the test again., The certification questions, The test contains questions about the data security rules (, data security rules under the microdata schemes (pdf), ). Since Statistics Denmark’s data security rules may differ from the practice in other institutions, it is important to read and know the rules under the microdata schemes. Knowing the rules is also the basis for answering the ten certification questions correctly. , Read more about the data security rules under Rules on transfer of analysis results , The questions are about access to researcher machines, pseudonymisation, transfer rules and working in general with data. Below you will find an example of a question that you can encounter in the certification test:, Question 1:, You have collected a survey that you are working on locally. You have registered the survey with the Danish Data Protection Agency, so the permits are in place. You have also sent the survey to Statistics Denmark to have the option of linking the survey with register data on the researcher server. Which is the correct statement?, Reply options:, a. You are allowed to download/transfer microdata from the survey that you have uploaded yourself., b. The only microdata you are not allowed to transfer, is microdata provided by Statistics Denmark to your project., c. Retrieval of microdata is never allowed regardless of data source.

    https://www.dst.dk/en/TilSalg/data-til-forskning/brugeradgang/certificering-af-brugere

    Documentation of statistics: Convicted Persons

    Contact info, Population and Education , Isabell Hartvig Larsen , +45 24 90 74 98 , IBC@dst.dk , Get documentation of statistics as pdf, Convicted Persons 2023 , Previous versions, Convicted Persons 2022, Convicted Persons 2021, Convicted Persons 2020, Convicted Persons 2019, Convicted Persons 2018, Convicted Persons 2017, Convicted Persons 2016, Convicted Persons 2015, Convicted Persons 2014, Convicted Persons 2013, Documents associated with the documentation, Engelsk_Voldtægtsforbrydelser_Dømte (docx), The purpose of the statistics is to analyze the number of persons who have been found guilty in violation of the penal code and the special laws (among these the Danish Road Traffic Act). The statistics on convicted persons was published for the first time for the year 1995. Since then it has been published for the years 1998, 2000, 2002 and 2004 and hereafter annually., Statistical presentation, The statistics shed light on the number of persons who have been convicted for violation of the penal code, the road traffic act and other special legislation. In the published statistics the convicted persons are classified into sex, age, municipality, national origin, country of origin and type of offence and conviction. From 2018-2021 also into citizenship and from 2021 into socio economic status and education. , Read more about statistical presentation, Statistical processing, Data from Statistics Denmark's register of convictions are linked to data from Statistics Denmark's population register and Statistics Denmark's income register. Data are already validated. However, central variables go through a probability check in form of a comparison with data from the previous year., Read more about statistical processing, Relevance, The statistics are used broadly by the authorities, enterprises, organisations, researchers, the press, in the public debate etc. Views and suggestions from key users are taken into consideration in the preparation of the statistics., Read more about relevance, Accuracy and reliability, The data used in the statistics are drawn from the Central Criminal Register. The data are typically drawn about 1 February following the relevant calendar year. A number of convictions made during the calendar year have not been registered before the data are drawn. This implies that the total number of convictions presumably is under-estimated., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published approximately 11 months after the end of the reference year. The statistics are published without delay in relation to the scheduled time., Read more about timeliness and punctuality, Comparability, Since 1995, the statistics has been prepared on the same date source. In general the statistics is therefore comparable during time. As a consequence of law amendments or wishes for more information on specific kind of offences the division of type of offences has been altered during the years. An overview of new and ceased type of offences can be found in this annex (in Danish only): Development in types of offences., Fines for violation of the road traffic act below DKK 2,500 are not included in the statistics as from 2012. In the period 2001-2011 the limit was DKK 1,500 and before 2001 DKK 1,000., Read more about comparability, Accessibility and clarity, In StatBank the statistics are published in [Convicted Persons] (https://www.Statbank.dk/10338)., Furthermore the statistics are published in the publication , "Kriminalitet", (Criminality) and the publication , "Indvandrere i Danmark", (Immigrants in Denmark, as from 2005)., See more at the , Subject page, ., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/convicted-persons

    Documentation of statistics

    Registers and reference types

    Statistics Denmark has gathered a vast series of historical register data in our databank of basic data, which users can access via the platform Denmark’s Data Portal. Research Services manages the databank of basic data and handles access to the platform, support, etc. Most registers in the databank are updated at least once a year in connection with release of the register-based statistics (, see Scheduled releases, ). , The data safari and the List of registers and variables (below) both show the registers in Denmark’s Data Portal, and here you can see variables for the individual registers. The documentation of variables is available in Statistics Denmark’s , documentation system, ., Go to Data safari , Go to List of registers and variables (in Danish),  , Overview of rerun registers (in Danish), Genkørte registre 2025-2. kvt (pdf), Genkørte registre 2025-1. kvt (pdf), Genkørte registre 2024-4. kvt (pdf), Genkørte registre 2024-3. kvt (pdf), Genkørte registre 2024-2. kvt (pdf), Genkørte registre 2024 - 1. kvt (pdf), Genkørte registre 2023 - 4. kvt (pdf), Genkørte registre 2023 - 3. kvt (pdf), Genkørte registre 2023 - 2. kvt (pdf) , Genkørte registre 2023 - 1. kvt (pdf), Genkørte registre 2022 (pdf),  , Reference types, Registers in the basic data overview are compiled by means of different reference types. Next to each register in the basic data overview, you can see which reference type a register has: ’Status’, ’Statusperiode’ (status period), ’Forløb’ (longitudinal) or ’Hændelse’ (incident)., Status, The reference type shows the status for a given date. For example, LONN (structure of earnings), which shows what a citizen earns as of the register date (e.g. 31 December 2021). Or BEF, which shows the population as of the quarter date (including status of residence, age, family, etc.)., Data definition: Clear status as of a given date. The population delimitation and all data content is focused on the date., Status period, This reference type shows the period status, where the population is delimited as of a given date, but the variables contain summed up data for a specific period. For example, IND, which contains the labour income for a year (the period appears from ’Opdateringsfrekvens’ (update frequency) in the basic data overview). Other examples of status period registers: PERSBEST (board members and managers), MFR (medical birth register), HANDICB (financial support for disability cars), DMRB (motor vehicles). It is not always easy to see what is being summed up., Data definition: The population delimitation is made as of a given date, but the content of the variables is accumulated over a given period. The period cannot be deduced from dates in microdata, but from the indicated period (shown under ‘Opdateringsfrekvens’ (update frequency)) – meaning that content in for example amounts, volumes, quantities etc. is aggregated over the indicated period (e.g. a quarter, a year)., Longitudinal, Here, data covers a longitudinal study. There will always be just one version of the register available. For example, UDD, which contains Highest educational attainment. Or BEFADR, which is an address key register (where e.g. 1.4m addresses changed key on 1 January 2007 in connection with the local government reform). When a longitudinal register is updated, the individual dataset is updated. This is why there is always only one dataset for a longitudinal register., Data definition: The definition of longitudinal data is that data contains a start date and an end date., Incident, Here, data covers an incident. For example, UDFK, which contains primary and lower secondary school marks (does not include a date but a school year), or OPHGIN (basis of right of residence for immigrants). When a longitudinal register is updated, the individual dataset is updated with new incidents. This is why there is always only one dataset., Data definition: The definition of incidents is first and foremost that data contains a date - only one date - for the occurrence of the incident, and will usually also have one incident type attached., Documentation for the use of registers, Statistics Denmark has prepared a memo describing the coherence between several of the most used registers in Statistics Denmark’s microdata scheme and their connection with the published statistics., The social statistics registers in Statistics Denmark consist of comprehensive data collections, which have been built and extended since the early 1980s. Data is of high quality and comprises the whole population. This gives the users of data unique possibilities of analysis, allowing them to analyse both status at a given point in time and the development over time., The memo is primarily intended for researchers, analysts and other users of microdata who want to obtain deeper insight into the quality of the coherence between the different registers. , Read more on Documentation for the use of registers (in Danish), Especially on the Data Warehouse for Business Statistics, In January 2024, Statistics Denmark launched the new Data Warehouse for Business Statistics – a significant extension and improvement of the existing business registers. , The new warehouse ensures wider and better access to anonymised data on enterprises and facilitates extraction of unique data by linking data across more statistical registers. The data warehouse also facilitates linking of business statistics and social statistics at micro level, the so-called ‘Linked Employer-Employee Data’ (LEED). , Read more in , this brochure (pdf), or see , the presentationen of The Data Warehouse for Business Statistics on 30 November 2023 (pdf), .

    https://www.dst.dk/en/TilSalg/data-til-forskning/generelt-om-data/registre-og-referencetyper

    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