Data management plan for RJ

2020/11/25

Research data is material that is collected or created in a research project to be used as a basis for analyzes and validation of research results.

The data can also be collected or created in a research infrastructure used for research.

Research data can consist of both analog and digital information and digital data can consist of everything from measurement results and observations to data code, images and sound files.

The international FAIR principles mean that research data or information about research data (metadata) is handled in a way that makes research data Findable, Accessible, Interoperable and Reusable. In recent years, the FAIR principles have had a strong impact and has become the guiding principle for good data management and open access to research data. For the sake of clarity, it should be emphasized that all research data cannot be fully openly accessible, for example, the protection of personal data and copyright must be taken into account. This is clarified by a motto often used in the context; "As open as possible, as closed as necessary".

Data Management Plan - background

Data management refers to how research data is handled, organized and structured throughout the project. In order to simplify the work on data management at the start of the project, a data management plan (DMP) can be created. A DMP is a formal document that provides a framework for what will happen to the data during and after the research project is finished. The content of the data management plan depends on the research area, the type of data and in what phase of the research process the project is in. Management of the data material develops over time in response to changes and new situations that arise during the course of the project.

Thus, a DMP acts as a "living" document that changes over time, throughout the project. For the individual researcher / research group / infrastructure manager, a DMP is an effective way to gain control of how the material is handled, stored and retrieved and what costs may be associated with it, and to ensure that the project complies with applicable regulations, legal and ethical aspects, and is prepared. for archiving at the end of the project. A DMP may look slightly different depending on the subject area, the type of data and any specific requirements from research funders. A DMP focuses on the management of digital data.

Internationally, many funders require a DMP as part of the application and decision process. A number of research funders have recommendations and, in some cases, requirements for a DMP. In Sweden, the Swedish Research Council, Formas and The Foundation for Baltic and East European Studies demand a DMP for projects that receive funding. For certain targeted calls, the Swedish Research Council requires a DMP at the time of application.

Data management plan at RJ

Riksbankens Jubileumsfond (RJ) sees that there are several benefits in establishing a DMP when a research project is taking shape. Obtaining a DMP in connection with the application process for projects where one can expect that data management (collection, processing and making data accessible) is central and / or comprehensive will be a valuable tool for understanding how the data management within the project is planned. For those working within the framework of an existing archive material, the DMP is a support in the necessary dialogue between researchers and the archive institution. RJ therefore decided to demand a DMP for projects that apply for RJ Infrastructure for research calls from 2020 and onwards. In the DMP, the focus is on digital data, although some sections relate to analog data.

RJ refers to the national template and the tool for DMP developed by the Swedish Research Council (or similar).

A completed DMP is considered when RJ assesses the feasibility of the project, where there should be a realistic, relevant and anchored DMP that extends beyond the end of the project period.

Support when writing the data management plan

  • Virtually all HEIs offer both information and support and advice to affiliated researchers on data management in research projects. Where this support function is placed varies between the institutions, it is often found centrally, at the university library or within the central research support.
  • The Swedish National Data Service (SND) also offers support and advice on questions regarding data management and data management plans, they have for example produced a checklist that can be used as support when filling in your DMP. Projects handling data from the cultural heritage sector may also turn to the collaboration platform Digisam.
  • Anyone who does not receive answers to their questions through their HEI or SND is welcome to contact RJ, eva.stenskold@rj.se.