Case Statements, Agreements & Charters

Context of this Charter The IG Data Fabric was originally founded in 2013 with the scope to harmonize and to orchestrate RDA’s core components for a data infrastructure. Over the years one of the group’s topics shifted more and more to the introduction and specification of FAIR Digital Objects as an overarching concept building up…

Case Statement: Data Repository Attributes Working Group   1. Charter   The Data Repository Attributes Working Group seeks to produce a list of common attributes that describe a research data repository and to provide examples of the current approaches that different data repositories are taking to express and expose these attributes.[1]   The working group…

Introduction The existing difference in data availability, access, use, and distribution between developing and developed countries hinder development for all. For instance, the availability and use of data and statistics on issues such as poverty, education, health, fragile states, pandemics, or natural disasters would trigger a new wave of data-driven scientific innovation and research. However,…

Adapted from the 2014 charter of the ELIXIR Bridging Force IG Life Science Data Infrastructures IG The life sciences are becoming increasingly data intensive, owing much to the huge improvements seen in large-scale gene sequencing and other molecular “omics” techniques. There is a need for large-scale sustainable and interoperable data management and storage methods that…

   Introduction: Research hardware represents a physical artifact and may incorporate mechanical, electrical, and even software components. For example, laboratory equipment which is the result of scientific research represents research hardware. It is an inherent part of research, together with research data and research software. However, while the latter have been recognized as research outputs by funders…

  Revised Case Statement following TAB review Original Case Statement which underwent community review   Overview The EOSC-Future & RDA Artificial Intelligence and Data Visitation Working Group (AIDV-WG) will address ethical, legal, and social challenges of Artificial Intelligence (AI) and Data Visitation (DV) affecting of state-of-the art data technology impacting scientific exchange in the context…

The idea of FAIR (findable, accessible, interoperable, and reusable) in the context of scientific data management and stewardship was developed in 2014 and turned into specific principles in 20161 . Along the way, the idea was generalized in concept to apply to both data and other digital scholarly objects, but it has become clear in…

Aligning with RDA’s mission, the purpose of the Psychology RDA Interest Group (IG) 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 IG brings together Psychology researchers with an interest in open, transparent, and…

The Neuroimaging Data WG 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 WG 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…

The lack of interoperability between tools presents a significant barrier to streamlining research workflows throughout the research lifecycle. These gaps prevent the comprehensive collection and incorporation of research data and metadata into the research record captured during the active research phase. This is a particular issue in relation to persistent identifiers (PIDs).  Furthermore, it limits…