IG Established

Status: Recognised & Endorsed This Interest Group will define legal interoperability of research data and articulate why it is important for data interoperability and reuse. The group will analyse four case studies and establish best practices through which legal interoperability if research data can be achieved and adopted by stakeholders.

The Metadata IG will concern itself with all aspects of metadata for research data. In particular, it will attempt to coordinate the efforts of the WGs concerned with metadata to produce a coherent approach to metadata covering metadata modalities of description, restriction, navigation, provenance, preservation and the use of metadata for the purposes discovery, contextualisation, validation, analytical processing, simulation, visualisation and interoperation. It will also liaise with the other WGs especially Data Foundation and Terminology, PIDs, Standardisation of data categories and codes and Data Citation. This IG activity relates to data management policies and plans of research organisations and researchers, and to policies and standards of research funders and of research communities which may or may not be official standards.

Big Data Interest Group seeks to address community needs on all things having to do with Big Data. Specifically, it aims to produce a set of recommendation documents to advise diverse research communities with respect to: * How to select an appropriate Big Data solution for a particular science application with optimal value? and * What are the best practices in dealing with various data and computing issues associated with such a solution?

Status: Recognised & Endorsed Joint RDA/WDS Interest Group This Interest Group will build on previous work in the area of certification and deliver a global overview and a set of recommendations and requirements that allow the effective implementation of certification of digital repositories on a national, European and even global level.

Status: Recognised & Endorsed The objective of this working group is to promote the development of a common global framework for the management of marine data to address the impact of natural and man-made phenomena. Multi-disciplinary collaboration and large volumes of good quality interoperable data which can be easily located and accessed is required for this to support the development of this ecosystem based approach to marine research.