This document describes the outputs of a joint RDA-Force11 FAIRsharing WG: the FAIRsharing resource of interlinked records on standards (for identifying, reporting, citing data and metadata), databases (repositories and knowledge-bases) and data policies (from journals, publishers, funders and other organizations), ranging from the generic and multi-disciplinary, to those from specific domains. The FAIRsharing recommendations, to guide the users and producers of standards, databases and repositories on how to best select and describe these resources; and to guide funders and publishers on how to recommend them in data policies. These outputs are tightly bound together as the registry enacts the recommendations, through the provision of well-described and interlinked records, which are curated and maintained with the support and input of the producers of these resources.
Software, and in particular source code, plays an important role in science: it is used in all research fields to produce, transform and analyse research data, and is sometimes itself an object of research and/or an output of research.
Unlike research data and scientific articles, though, software source code has only very recently been recognised as important subject matter in a few initiatives related to scholarly publication and archiving. These initiatives are now working on a variety of plans for handling the identification of software artifacts.