From FAIR research data toward FAIR and open research software
Replicability and reproducibility are the ultimate standards by which scientific claims are judged. Reproducibility and reuse of research can be improved by increasing transparency of the research process and products via an open science culture, says a new paper published by Wilhelm Hasselbring, Leslie Carr, Simon Hettrick, Heather Packer and Thanassis Tiropanis.
"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," the authors say.
"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."
The paper is available here: From FAIR research data toward FAIR and open research software