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07 Mar 2016

Virtual Research Environment IG (VRE-IG)

Recognised & Endorsed

The vision of the Research Data Alliance (RDA) is that “researchers and innovators openly sharing data across technologies, disciplines, and countries to address the grand challenges of society.” The Mission of RDA is that it “builds the social and technical bridges that enable open sharing of data.”

Increasingly researchers who are not co-located are seeking to work dynamically together at various scales from the local to global using the internet to share data, models, workflows, best practice, publications, management and administration of their research etc. The Virtual Research Environments Interest Group (VRE-IG) seeks to build the required technical bridges, skills and social communities that enable global sharing and processing of data across technologies, disciplines and countries through the creation of shared online virtual environments. As these individual VREs grow, inevitably they need to also connect with major national research infrastructures.

The goal of the VRE-IG is to identify the technical issues to and - where known - share solutions that enable online access to data required to address issues that can range from local challenges (which are also potentially of direct relevance to researchers in other geographical areas or other research domains), to the research grand challenges currently being faced by society on global issues, e.g., societal impacts of climate change; sustainable cities; and environmentally sensitive utilisation of the scarce resources of our planet.

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13 Apr 2015

Metadata Standards Catalog WG


The Metadata Standards Catalog (MSC) Working Group will produce a machine-actionable catalog of metadata standards submitted by all RDA WGs. The catalog system will have an end-user input form and an API for submission from other software. Similarly it will have a user interface for query/reporting and an API for software to query and retrieve suitable standards information. The MSC is a fundamental tool in any autonomic e-research fabric. This work builds on the outputs of the Metadata Standards Directory Working Group: both the Metadata Standards Directory (MSD) itself and the set of attendant use cases.

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