Guidelines for Research Program Management: Difference between revisions

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Created page with "=Introduction to FAIR research software= One of the pillars of open science is data. The guiding principle for research data is to make it open where possible and closed where necessary. Much has been achieved in making this a reality over the last few years. Research software on the other hand, has been somewhat forgotten. However, it can be an integral part of a publication. Therefore, it is vitally important that code associated with scientific publications, is as r..."
 
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=Introduction to FAIR research software=


One of the pillars of open science is data. The guiding principle for research data is to make it open where possible and closed where necessary. Much has been achieved in making this a reality over the last few years.
Research software on the other hand, has been somewhat forgotten. However, it can be an integral part of a publication. Therefore, it is vitally important that code associated with scientific publications, is as retrievable, accessible, interoperable and reusable. Irrespective of whether it concerns a simple script or a complete library.
But how can code be published transparently? The FAIR principles of software and data management have been adopted by the Radboud and other universities to guide best practice for researchers in this area.
[https://www.rug.nl/digital-competence-centre/research-data/research-software-management/fair-research-software?lang=en]

Latest revision as of 08:53, 27 November 2025

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