FAIR Data Maturity Group Working Group
The RDA FAIR Data Maturity Group was established at the end of 2018 with the objective to bring together stakeholders from different scientific and research disciplines, the industry and public sector, who are active and/or interested in the FAIR data principles and in particular in assessment criteria and methodologies for evaluating their real-life uptake and implementation level. The Working Group completed an RDA Recommendation, a common set of core assessment criteria for FAIRness and a generic and expandable self-assessment model for measuring the maturity level of a dataset. The group has over 250 members representing a wide range of disciplines and regions around the world.
Metadata Interest Group
The Metadata Interest Group (MIG) is supported by individuals and organizations involved in the development, implementation, and use of metadata for scientific data. MIG’s chief objective is to identify and endorse metadata solutions for addressing data management challenges. Metadata is crucial for the discovery, access, preservation, exchange, manipulation, and use/re-use of research data. Metadata discussions frequently focus on community-specific issues such as discipline-specific standards; however, there are dimensions of metadata that are of general interest, cross disciplines, and are amenable to broad community input. MIG endorses metadata solutions that balance domain-specific and interdisciplinary needs.
MIG has proposed metadata ‘packages’ for the commonly required purposes; a ‘package’ consists of elements (attributes or data structures) the values of which relate to the unique identity of the dataset or record (instance). To assure machine processing a formal syntax and declared semantics are required, and the packages must exhibit referential and functional integrity as well as human readability.
Data Granularity Working Group
The RDA Data Granularity Working Group is currently forming out of a Task Force within the Data Discovery Paradigms Interest Group (DDPIG). Early activities include Birds-of-a-feather sessions at the RDA 15th and 16th Virtual Plenary with very positive feedback. A case statement is currently being prepared to apply for formal RDA Working Group status.
We address issues of data granularity in data discovery, access, interoperability, analysis, citation, and more. More efficient and effective reuse of data requires that users can find and access data at various levels of granularity. The WG will explore key questions and collect and share valuable information for how to best support data granularity, providing guidance to help data professionals to determine the best level of granularity for user discovery, access, interoperability and citability. The activities and final recommendations of the Data Granularity WG will build upon and complement existing and ongoing work of several RDA Working and Interest Groups that touch upon the subject of data granularity. The final deliverable for the WG is a set of collected use cases and a guidance document of data granularity approaches for prioritized use cases, including terminology, methods to evaluate approaches, and a summary of community feedback.
The group currently has 11 founding members with many more having declared interest.