From FAIR research data toward FAIR and open research software

Hasselbring, Wilhelm, Carr, Leslie, Hettrick, Simon, Packer, Heather and Tiropanis, Thanassis (2020) From FAIR research data toward FAIR and open research software it - Information Technology . pp. 1-9. DOI 10.1515/itit-2019-0040.

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The Open Science agenda holds that science advances faster when we can build on existing results. Therefore, research data must be FAIR (Findable, Accessible, Interoperable, and Reusable) in order to advance the findability, reproducibility and reuse of research results. Besides the research data, all the processing steps on these data – as basis of scientific publications – have to be available, too.

For good scientific practice, the resulting research software should be both open and adhere to the FAIR principles to allow full repeatability, reproducibility, and reuse. As compared to research data, research software should be both archived for reproducibility and actively maintained for reusability.

The FAIR data principles do not require openness, but research software should be open source software. Established open source software licenses provide sufficient licensing options, such that it should be the rare exception to keep research software closed.

We review and analyze the current state in this area in order to give recommendations for making research software FAIR and open.

Document Type: Article
Keywords: FAIR principles; research software; open source software
Research affiliation: Kiel University > Software Engineering
Refereed: Yes
DOI etc.: 10.1515/itit-2019-0040
ISSN: 1611-2776
Date Deposited: 16 Feb 2020 20:14
Last Modified: 16 Feb 2020 20:14

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