DMPTuuli guide: 5. Open and publish

5.1 What part of the data can be made openly available or published? Where and when will the data, or its metadata, be made available?

If your data cannot be opened, explain why. The openness of research data promotes its reuse. Research data management planning in the early stages of the research project enables the sharing of data after the project.

Tips for best practices

• Uniarts Helsinki encourages researchers to be open about their data management. If it’s not possible to open research data e.g. due to legal or ethical reasons, the metadata should be made openly available. See e.g. Open science and research at Uniarts Helsinki.
• Publish your data in a data repository. If you can’t open your data, publish a description (i.e. the metadata) of your data.
• Check the disciplinary and funder recommendations for data repositories.
• Publish your data in a data repository or a peer-reviewed data journal.
• Use repositories or publishers which provide persistent identifiers (DOI, URN) e.g. Finnish Social Science Data Archive and/or Zenodo
• It is recommended to make all research data, code and software created within a research project available for reuse, e.g., under Creative Commons, GNU, MIT or another relevant license.

More instructions

• Researcher’s check list for publishing research data (vastuullinentiede.fi website)
• Open data (Open Science coordination in Finland website)
• See Research Data Management guide for more information about opening and publishing your data from a more practical point of view.

Examples

"Dataset(s) themselves, complete with full description of methods, will be published in [A certified, field-specific repository / Zenodo].”

“Sensitive parts of the data cannot be stored and will be disposed of after the project is finished.”

5.2 Where will data with long-term value be archived, and for how long?

Briefly describe what data to archive and for how long – as well as what data to dispose of after the project. Describe the access policy to the archived data.

National and university-level policies for determining eligibility for Tutkimus-PAS (national long-term preservation project) are currently being developed, but not available yet.

Tips for best practices

• Remember to check funder, disciplinary or national recommendations for data archives.

More instructions

• Five steps to decide what data to keep (DCC, UK)
• Data disposal (Data Management Guidelines, FSD)