The WorldFAIR Project

Abstract

In the EC-funded WorldFAIR project, CODATA (the Committee on Data of the International Science Council) and RDA (the Research Data Alliance) work with a set of 11 disciplinary and cross-disciplinary case studies to advance implementation of the FAIR principles and, in particular, to improve interoperability and reusability of digital research objects, including data. Particular attention is paid to the articulation of an interoperability framework for each case study and research domain.

According to the WorldFAIR approach, outputs and modes of dissemination will significantly strengthen international cooperation in order to increase and mainstream FAIRness of data and digital objects.

One of the outputs of the WorldFAIR project was the "Cross-Domain Interoperability Framework (CDIF)", which is designed to support FAIR implementation for these projects by establishing a ‘lingua franca’ for this information, based on existing standards and technologies to support interoperability, in both human- and machine-actionable fashion. CDIF is a set of implementation recommendations, based on profiles of common, domain-neutral metadata standards which are aligned to work together to support core functions required by FAIR. Another major deliverable of the WorldFAIR project was a set of 11 policy recommendations to support a fundamental transformation of data stewardship to meet the challenges of interdisciplinary research, reproducibility and AI.

Overview

Country	International
Start date	2022
Annual Budget	€0.94M
Responsible organisation(s)	Academic cooperation
Target group(s)	Researchers, data scientists, and international data organizations
Policy instrument type	Programme promoting data interroperability across different scientific domains and disciplines.

Background

Aside from CODATA (the Committee on Data of the International Science Council -ISC) and the Research Data Alliance (RDA), who are leading the work, the project consortium (including the associated partners and collaborators) includes a number of authoritative international bodies (e.g., the Global Biodiversity Information Facility, the International Union of Pure and Applied Chemistry, OneGeochemistry), or institutions and projects with international reach (e.g., the London School of Hygiene & Tropical Medicine, the 5-year Salud Urbana en América Latina or Urban Health in Latin America (SALURBAL) project, Tonkin+Taylor), such that there is legitimate confidence that the recommendations and outputs will be implemented and have significant impact.

Expanding and sustaining the WorldFAIR objectives and methodology, CODATA has already launched a direct continuation through the WorldFAIR+ initiative.

WorldFAIR+ will be a growing federation of projects, with parallel funding and supported by a CODATA-led coordinating mechanism with technical expertise. The initiative will focus on providing practical guidance and technical recommendations to help ensure that the data needed for interdisciplinary research is FAIR and has maximum utility. New and existing case studies will use and further refine the WorldFAIR methodology. In particular, implementation pilots will test, refine and extend the CDIF recommendations.

Objective(s)

To produce recommendations, interoperability frameworks and guidelines for FAIR data assessment.

Public access URL

https://worldfair-project.eu/the-project/

https://worldfair-project.eu/worldfair-plus/

https://ec.europa.eu/info/funding-tenders/opportunities/portal/screen/opportunities/projects-details/43108390/101058393/HORIZON?keywords=101058393&isExactMatch=true&order=DESC&pageNumber=NaN&sortBy=title

All tags

• Technical Standards & Practices
• International
• 2022
• Academic cooperation
• Higher education institutes
• Established researchers
• Junior researchers
• Private R&D
• Public research institutes
• Interoperability

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