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OpenAIRE and FAIRsharing collaborate to provide knowledge to researchers across disciplines

FAIRsharing records from OpenAIRE Research Graph to help users discover relationships to their standard of interest, alongside repositories that implement that standard and the data policies

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The collaboration between OpenAIRE AMKE and FAIRsharing is designed to ensure that our interconnected information will provide greater knowledge to researchers in all disciplines and other stakeholders worldwide. In particular, links to relevant FAIRsharing records from the OpenAIRE Research Graph will help OpenAIRE users who wish to discover relationships to their standard of interest, alongside the repositories that implement that standard and the data policies (from journal publishers, funders and other organisations) that endorse their use. 

This first collaborative phase, described in detail in this FAIRsharing blog post, encompasses two main components:

  1. Integration of almost 1900 FAIRsharing repository records into OpenAIRE; this enriches the OpenAIRE Research Graph with FAIRsharing richly curated metadata descriptors and their DOIs.
  2. Implementation of a methodology to map repository descriptions across different registries; this enables FAIRsharing to provide OpenAIRE Research Graph with linked and deduplicated records that describe repositories across, SciCrunch and FAIRsharing registries.

"Coping with data-intensive research requires a linked ecosystem with responsibilities among many. The OpenAIRE-FAIRsharing synergy is an example of how community approaches can bring value, and how their adoption in more horizontal ways can benefit the wider research communities.” Natalia Manola, OpenAIRE CEO

The collaboration between OpenAIRE and FAIRsharing plays a key role in delivering the vision of the European Open Science Cloud (EOSC) of a “Web of FAIR Data and Services”. This proof of principle has been done as part of the EOSC BY-COVID project, however, the work has covered repositories in all disciplines. This work and the OpenAIRE and FAIRsharing collaboration will also shape activities in the EOSC-Future project, which connects to all EOSC Science Clusters. FAIRsharing is also contributing to the EOSC ecosystem and the wider communities and disciplines of the Research Data Alliance (RDA) via the RDA/EOSC-Future Ambassadorship for the FAIRsharing Community Curation Programme.

”Community activation and participation across disciplines are essential to mapping the landscape of repositories, along with the standards they implement and policies that recommend them; our collaboration enables us to make this FAIRsharing knowledge available via the OpenAIRE Research Graph.” Allyson Lister, FAIRsharing Content and Community Coordinator

About FAIRsharing: At the core of FAIR are data and metadata standards - minimal information guidelines, models, formats, controlled vocabularies, ontologies and identifier schemas. These are essential for the identification and reporting of research outputs. FAIRsharing is a manually curated, informative and educational resource that maps the landscape of community-developed standards, databases (repositories and knowledgebases) and policies across disciplines. FAIRsharing defines the indicators necessary to monitor the development, evolution and integration of standards, as well as their implementation and use in databases, and adoption in data policies by funders, journals and other organisations. Adopted by major scholarly publishers, funders and other stakeholders, and an endorsed output of the RDA, FAIRsharing guides consumers to discover, select and use these resources with confidence and enables producers to make their resources more findable, adopted and cited. 

About OpenAIRE: OpenAIRE AMKE aims to establish an open and sustainable scholarly communication infrastructure responsible for the overall management, analysis, manipulation, provision, monitoring and cross-linking of all research outcomes. The OpenAIRE Research Graph is one of the largest open scholarly record collections worldwide, key to fostering Open Science and establishing its practices in daily research activities. Conceived as a public and transparent good, populated out of data sources trusted by scientists, the Graph aims at bringing discovery, monitoring, and assessment of science back into the hands of the scientific community.