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Research Data: Open and/or preserve

Tips and support for data management for researchers at ÅAU

Open/FAIR data and long term storage

Archive and/or open/publish your data once the project is finished

Your data is valuable! Preserve your data in a responsible manner latest at the end of the project.  

ÅAU promotes the openness, transparency and shared use of research data following the FAIR principles, according to which data should be findable, accessible, interoperable and reusable. However, it is up to the researcher to determine level of access to his/her data on a case by case bases.  Also, the researcher can choose to open only a part of the data. Data or parts of the data can be completely open, or may be restricted, for example for research purposes.

At least register your data in Etsin (via, which means other researchers can find is and refer to it.

Long term archiving 

Research data as well as associated metadata should be saved and shared safely and reliably during the project and stored and recorded in ways that enable access and re-use once the project is completed. Once the project has ended, archive your data register or index the data in a searchable resource using globally unique and persistent identifiers. It is up to you to decide who has access to the data and for what purposes. 

Read more about open data here (link?)

Closed archives

Open archives (all fields of research)  - free of charge to researchers in Finland

  • Zenodo (recommended!)
  • -  a service package provided by the IDA service for preserving of stable data, including raw data and processed data; QVAIN: a too for describing data   

For the humanities, social sciences and medicin, but also others:

  • Tietoarkisto/FSD - a curated archive (recommended! including support for the archivingsprocess, proof reading etc.) Adheres to the FAIR principles. Fill in the form and provide data early on to receive support and instructions. ​

How can I protect my data?

It's possible to legally protect and restrict the reuse of one's data referring to

  • contractual conditions (the owner of the data restrict the rights to use them) 
  • as a business secret (it may contain business secrets or such can be inferred from it)
  • as a database or catalogue 
  • as a work (copyright)

Publishing data with a restrictive license (CC-BY-NC-ND) is to be preferred to keeping it on your own harddrive.

Opening the data under the license CC-BY (or CC0 including a requirement to quote) is explicitly giving others the right to reuse it, which may prove beneficial in the long run since those who may want to use the data won't have to track down every single participant in the creation of the data to get permission for reuse.

Services and tools for open data/FAIR data

Recommended open repositories

Search services for open repositories

  • Data Sharing - CSC's list of sharing services
  • Repository Finder - A DataCite service, including a filter for FAIR-repositories (based on

Services and tools for research

  • EOSC - European Open Science Cloud, a catalogue of services and tools for open science for researchers in Europe 

Describing data, metadata standards

Open licenses for research data

Applying an open license is a way of  informing others of what rights they have to share and reuse ones research data. Without a license, potential valuable reuse may be unwillfully restricted. Often Creative Commons licenses are used, complemented with CC0 (for data which is not covered by copyright law).

Algorithms, scripts, programs can be licensed with MIT and GNU GPL-licenses.

Graphics, diagrams etc. are covered by copyright law and are often included in publications, see the open access guide.


Guide for licensing research data: