Not yet endorsed

The FAIR for Machine Learning (FAIR4ML) Interest Group will enable community members to discuss the various aspects of FAIR as applied to Machine Learning, looking both at domain specific and domain-agnostic use cases, and creating task forces and working groups as needed for specific guidance documents, recommendations, definitions and technical specification to that effect. The overall aim is to foster collaborations among researchers and developers who are interested in making machine learning (data, models, workflows, etc.) FAIR, along with those who contribute to the infrastructure and policies that support this.

e-ReproNim fulfils the RDA’s mission to build the social and technical bridges that enable open sharing and re-use of data in the domain of neuroimaging. The CoP envisions a neuroimaging research landscape in which knowledge is generated in a reproducible fashion (in terms of data, analysis and computation) and coupled with the ability to reuse and extend these studies by others in the community.

Aligning with the RDA’s mission, the purpose of the Psychology RDA Community or Practice (CoP) is to raise awareness of the importance of data sharing, and to provide support with respect to the technical skills needed for FAIR data sharing, within the Psychology community. This CoP brings together Psychology researchers with an interest in open, transparent, and reproducible research methods and practices.

TBD