Project application and project start
Data management plan
A data management plan documents and describes how research material will be handled, organised, stored and made accessible throughout the research process. Well-structured data material also helps others to navigate the material before continuing with the research; it also facilitates final archiving. Documentation may differ depending on the subject area: as a project develops, the content of the data management plan will also change.
- Producing a data management plan (Swedish National Data Service)
- Data Management Plan Checklist - (Swedish National Data Service)
- Science Europe Report with Core Requirements for Data Management Plans
Why a data management plan?
Both public and private research funders have begun placing demands on data management plans and on making research data accessible, so long as the legislation allows for this. This is about research data being managed in the correct way, about researchers being able to build on existing data, and about the efficient use of the funding provided by funding bodies.
Often, funding bodies require that a complete data management plan be drawn up for the application to be granted funds: often they require only a short "general plan" at the application stage.
Processing of personal data in research
Since 25 May 2018, the processing of personal data in research has been regulated by the General Data Protection Regulation (GDPR).
During the project period
Storage options for digital research data
- When everyone involved in the project is a Dalarna University employee
Your project will get its own catalogue on the university server. You can decide for yourself who should have access rights to the catalogue. Larger projects can have several catalogues with separate access rights. This set-up is suitable for all types of information, both standard information and personal and/or sensitive personal data. - When at least one person in the project is not a Dalarna University employee
Your project will have its own place in Microsoft Teams with file functions and collaboration functions. Note, however, that you cannot use this for the management of personal data in the project. - When the project contains sensitive personal data and at least one person in the project is not a Dalarna University employee
You can create your own separate desktop via the Microsoft Terminal Server where the project can process data with standardised software such as SPSS. Contact the IT department by emailing forskningsdata@du.se to discuss this.
Rules for the storage of digital information (in Swedish and English)
Storage of non-digital (analogue) research data
All research data is considered critical for the university and should therefore be stored securely (under lock and key) when not in use: i.e., when you leave the room for lunch or after office hours. Your room must, of course, also be locked. The type of cabinet you use to store your research data securely depends on how sensitive the data is. Unless otherwise specified, you can use a standard wooden or metal office cabinet.
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Documents with personal identity numbers
Store these in locked shutter cabinets or metal cabinets that do not have a special security class. Contact support@du.se if you need such a cabinet. -
Confidential documents/sensitive data
Lock up in an approved secure filing cabinet in your office/department.
Contact forskningsdata@du.se if you need a secure cabinet.
These cabinets are not intended for long-term storage; instead, they are intended to prevent unauthorised access while the data is being used: i.e., the documents are used daily and therefore it is not yet time to store them in the central archive.
Researchers should regularly check through their material to assess what they no longer need on a daily basis. They should then send the material they are no longer using to the archives for secure storage. Contact university archives before sending in material arkiv@du.se
How do I publish research data?
Once you have reached the point where you plan to publish all or parts of your research data, you can either publish in SND Care - DORIS or the Dalarna University Zenodo Community or another subject-specific repositorium.
If you publish your research data in DORIS or the Dalarna University Zenodo Community, your research data is made visible on the national platform Researchdata.se. You can also receive support and assistance to describe your research data in one of these:
If you publish in a subject-specific repositorium, you, as researcher, are responsible for the accuracy of the descriptions and sharing of research data.
Final stages of a project
What research data should be archived?
As a general rule, primary material/basic data must be retained and stored; however, in some cases it can be destroyed, but not until after ten years have elapsed.
The processing material (processed research data) is in many cases considered to be working material and part of the work process. This can be deleted on an ongoing basis. However, note that this material must be retained if it is needed to understand context or to provide factual information, or if it for other reasons is needed for the results to be understood.
In addition to the researcher's own assessment of what data must be retained, the researcher can consult a directive from the National Archives (RA-FS 1999:1) for guidance. It states that research data must be retained if it is judged to have continued interdisciplinary value, to have value for another research field, to be of great scientific-historical, cultural-historical or personal-historical value, or to be of great public interest. For example:
- particularly extensive primary material that is unique or that can only be recreated with great effort;
- records and databases of data with a particularly high level of coverage and controllability;
- documents that highlight the historical development of an academic discipline;
- documents that highlight the academic environment in a cultural-historical perspective;
- documents that highlight the work of a notable person; and
- research that has attracted a lot of attention in the public debate or that can be expected to do so when the research results have been more widely disseminated.
How should research data be archived?
Archiving is done when you submit the data to the the university archives. Contact the archivist ahead of time: arkiv@du.se.
Digital documents (though not all) can also be archived at the university: for example, recordings and other digital files.
Please note that publication or depositing in a national or international data archive does not eliminate the need to archive your data at the university. The archive also receives research data for storage that can be destroyed.
Why should research data be archived?
- So that it can be reused in new research
- So that it can be audited: for example, in the event of a review or upon suspicion of scientific misconduct
- So that the researcher and the higher education institution where the research was conducted can have secure long-term access to the information
- So that laws and regulations are followed
Research carried out as part of an employee’s work at an authority, such as the university, results in official documents (allmänna handlingar). This is the case with research data as well. Official documents can then be categorised as either public or confidential.
Policy for the management of research data at Dalarna University
In our policy for the management of research data, the objectives of the work are clarified. The policy covers all research data in accordance with the Swedish Research Council's definition and is informed, among other things, by Nationell färdplan för öppen vetenskap (REK 2021:1) from the Association of Swedish Higher Education Institutions (SUHF - Sveriges Universitets – och högskoleförbund).
- Swedish Research Council's definition of research data (Swedish and English text)
The aim is to facilitate researchers at institutions of higher eduation in their work with managing research data. The university also needs to know what data are generated within the organisation in order to ensure that they are handled properly. The objective is to meet the responsibilities as a public authority, the legal requirements and the funders' requirements.
About research data
What is research data and what is metadata?
Research data can come in a number of types and formats, such as results from measurements and experiments, observations from field work, responses to questionnaires, interviews, pictures, films and texts [...] the term “research data” here is used in a broad sense to mean digital information that is created or collected so that it can be analysed for the purposes of research.
Research data is described and documented using various forms of metadata, which means data about data. Metadata can comprise descriptive or contextual information or information about the origin of the data (provenance), such as how variables are defined, how data is structured and how different amounts of data relate to each other, as well as information about how the data has been produced and by whom, or if special software is required to read or analyse data.
What is the meaning of open access to research data?
Open access to research data means research data that
- is financed by public funds
- has been created during the research process
- may be made accessible according to legislation
- must be published with free (open) accessibility on the internet.
By opening and sharing your data, you promote the transparency and reliability of your research because other researchers can then apply it and reuse it.
Access to research data should be as open as is possible and as limited as is necessary. Exceptions to open publishing on the internet are made when, for example, there are legal or ethical aspects to consider, such as when research data is covered by confidentiality or when it contains personal data or copyrighted material.
Even if data cannot be shared openly, the recommendation is to publish the data in way that makes metadata and documentation describing the data material accessible. This ensures that the research data can be found and cited, even if the data can only be accessed following an approved request for access.
Under Researchdata, you as a researcher can find, share and reuse research data from various subject areas. Here you can also access guidance and recommendations on research data management, particularly on how to describe, share and preserve data. The portal is a national initiative and has been developed at the initiative of the Swedish National Data Service.
Here you can view lectures on research data and open access (Swedish National Data Service)
- Lecture on research data and open access (in Swedish)
- Lecture on research data and open access (in English)
More about open access to research data
In a Swedish government proposition from 2016, a goal was set stating that the transition to open access to research data should be fully implemented by 2026.
In 2017, Sweden’s government commissioned the Swedish Research Council to coordinate the national work to establish open access to research data.
What do the FAIR principles mean?
The FAIR principles serve as an international set of guidelines for the management of research data. According to the FAIR principles, research data must be:sp;
- Findable: how do you find the data?
- Accessible: how do you gain access to the data?
- Interoperable: are data and metadata interoperable?
- Reusable: is it possible for others to use the data in the future?
In 2016, the EU adopted conclusions that encouraged member states to follow the FAIR principles in their research programmes and funding principles.
- FAIR Data Principles (Swedish National Data Service)
- Kriterier för FAIR forskningsdata (Vetenskapsrådet) (in Swedish, p. 5 summary in English)
Regulations for research data management
The management of research data is regulated by, for example, legislation on ethical review, personal data/data protection, copyright laws, public access to information and confidentiality, and archiving regulations.
Read more about the lawful bases for the processing of personal data in research:
- The Swedish Research Council - Good Research Practice
- Researchdata.se: as open as possible, as restricted as necessary
Do you have questions about research data?
Your Dalarna University colleagues who work with the archives, in the library, with IT and with legal matters can assist you with the management of your research data. They offer these services as part of the university-wide research support that is now in place. You can contact them for assistance if you have questions with such matters as the following:
- drawing up data management plans,
- documenting data during the research process,
- choosing a storage location for research data,
- choosing a file format,
- archiving research data,
- publishing research data,
- applying regulations related to the management of research data.
Contact: forskningsdata@du.se