AI Article Synopsis
- * In 2022, CODEX was enhanced with new features focused on FAIR principles, which help research networks assess their adherence to standards for open and reproducible science.
- * An online survey was conducted within NUM to increase transparency and provide guidance to scientists on improving data and software reusability, with the report detailing the outcomes and insights gained from this initiative.
Article Abstract
The need to harness large amounts of data, possibly within a short period of time, became apparent during the Covid-19 pandemic outbreak. In 2022, the Corona Data Exchange Platform (CODEX), which had been developed within the German Network University Medicine (NUM), was extended by a number of common components, including a section on FAIR science. The FAIR principles enable research networks to evaluate how well they comply with current standards in open and reproducible science. To be more transparent, but also to guide scientists on how to improve data and software reusability, we disseminated an online survey within the NUM. Here we present the outcomes and lessons learnt.
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| http://dx.doi.org/10.3233/SHTI230251 | DOI Listing |
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