Scholix: The working group has generated a Scholix metadata schema, has helped implement this schema in multiple Scholix hubs and other infrastructure providers, and has built a community that provides Data citation services. The group is in maintenance mode since 2019 and continues to work on Scholix adoption with repositories, publishers and other industry groups.
FAIR for Research Software (FAIR4RS) WG: Software has become essential for research. To improve the findability, accessibility, interoperability, and reuse of research software  , it is desirable to develop and apply a set of FAIR Guiding Principles for software. Many of the high-level FAIR data principles can be directly applied to research software by treating software and data as similar digital research objects. However, specific characteristics of software — such as its executability, composite nature, and continuous evolution and versioning — make it necessary to revise and extend the original data principles.
Application of the FAIR principles to software will continue to advance the aims of the open science movement. The FAIR For Research Software Working Group (FAIR4RS WG) will be jointly convened as an RDA Working Group, FORCE11 Working Group, and Research Software Alliance (ReSA) Taskforce, in recognition of the importance of this work for the advancement of the research sector. FAIR4RS WG will enable coordination of a range of existing community-led discussions on how to define and effectively apply FAIR principles to research software, to achieve adoption of these principles.
The working group will deliver:
- A document developed with community support defining FAIR principles for research software
- A document providing guidelines on how to apply the FAIR principles for research software (based on existing frameworks)
- A document summarising the definition of the FAIR principles for research software, implementation guidelines and adoption examples.
Software Source Code IG:
Software source code plays a critical role in all fields of modern research, where source code is written and developed to address a variety of needs, like cleaning, processing and visualising data. It is a necessary component for research reproducibility and reusability.
Thus software source code should be properly curated in the same way as other research inputs and outputs such as research data and paper publication. Software source code developers and organisations that sponsor software development should also be properly credited and attributed.
This interest group will provide a forum to discuss issues on management, sharing, discovery, archival and provenance of software source code. It will pay special attention to source code that generates research data and plays an important role in scientific publications.