2025/04/15 by Eric Jensen, Daniel S. Katz · 1 voice · 1 citation
Computer Science · Decision Sciences · Business, Management and Accounting · #Research Data Management Practices #Scientific Computing and Data Management #Big Data and Business Intelligence
paper · pdf · doi:10.1038/s41597-025-04820-4
openalex publication_date 2025/04/15 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/23
The FAIR principles—Findable, Accessible, Interoperable, and Reusable—are a cornerstone for aligning data management and sharing with good practices in research and scholarship. These guidelines are designed to enhance the utility and impact of scientific data by ensuring that datasets are easily located, as accessible as possible under clear conditions, compatible with other datasets, and structured to enable reuse 1 . The FAIR framework fosters transparency, reproducibility, and innovation across research disciplines. At this point, international research funders and academics have widely recognized the FAIR principles and taken steps to advance its implementation 2 , 3 . Chue Hong et al . 4 present a community-developed adaptation of the original FAIR principles specifically for research software (i.e., FAIR4RS) 5 . This development was based on the fact that while the FAIR principles were initially developed for data, “research software is now being understood as a type of digital object to which FAIR should be applied” 5 . Application of FAIR principles to research software is essential due to the unique challenges associated with software, such as its executability, continuous evolution, and versioning. This adaptation reflects the growing recognition within the research community of software’s critical role in advancing scholarly discovery. Like FAIR for data before it, the FAIR4RS principles aim to ensure that research software is discoverable, reusable, and sustainable, thus enhancing transparency and reproducibility in research. Barker et al . 5 argue that “the development of the FAIR4RS Principles is a milestone for the research community in recognizing the increasing value of research software as fundamental and vital to research worldwide.”