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From FAIR research data toward FAIR and open research software

dc.contributor.authorHasselbring, Wilhelm
dc.contributor.authorCarr, Leslie
dc.contributor.authorHettrick, Simon
dc.contributor.authorPacker, Heather
dc.contributor.authorTiropanis, Thanassis
dc.date.accessioned2021-06-21T09:29:54Z
dc.date.available2021-06-21T09:29:54Z
dc.date.issued2020
dc.description.abstractThe 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.en
dc.identifier.doi10.1515/itit-2019-0040
dc.identifier.pissn2196-7032
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/36553
dc.language.isoen
dc.publisherDe Gruyter
dc.relation.ispartofit - Information Technology: Vol. 62, No. 1
dc.subjectFAIR principles
dc.subjectresearch software
dc.subjectopen source software
dc.titleFrom FAIR research data toward FAIR and open research softwareen
dc.typeText/Journal Article
gi.citation.endPage47
gi.citation.publisherPlaceBerlin
gi.citation.startPage39

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