Two new European projects dedicated to FAIR principles


Last June, the twin Horizon Europe projects FAIR-IMPACT and FAIRCORE4EOSC had their common kick-off in Amsterdam and started their activities for the next three years. Both projects will contribute to the implementation phase of the European Open Science Cloud (EOSC) for what concerns the application of the FAIR principles.

The EOSC will be the global digital environment for all European research, including data, software and services. In this prospect, the FAIR principles are of major importance as they bring a common understanding for all the producers of research data and will facilitate the circulation and processing of large and multidisciplinary sets of data.

As stated by the FAIR-IMPACT Project Coordinator, Ingrid Dillo (DANS):

“if we want to solve the societal challenges of today, we need cross-domain research that tries to understand complex systems. This means we need data that are sufficiently documented, contextualized, appropriately licensed, and interoperable” 1.

While the FAIR-IMPACT project will be more focused on the data producers and their adoption of the FAIR principles, the FAIRCORE4EOSC will implement FAIR services able to both manage FAIR objects and improve their FAIRness level.

Both projects will take into account disciplinary specificities through distinct use-cases. They will have in particular dedicated tasks for the social sciences and humanities. Within FAIRCORE4EOSC, a case study from the linguistics area will allow to develop a service to manage seamlessly a variety of persistent identifiers (including DOIs, Handles and other PIDs used by Europeana). The starting point will be the collections of CLARIN, the European Research Infrastructure Consortium for linguistics, but could be then extended to any other discipline.

The FAIR-IMPACT project will analyze more closely the accuracy of the FAIR-evaluation tools in the context of social sciences and humanities. The project will consider a tool providing guidance about the FAIR principles, the FAIR-aware tool, and also F-UJI, a tool conducting automated assessment of FAIRness. In fact, the FAIR principles can be described in a more structured way than a simple list of principles. With this in mind, a detailed FAIR data maturity 2 (FDM) model has been developed, which contains more explicit specifications and allows for automated checking. This automated analysis of datasets or repositories according to the FDM is specifically the objective of the F-UJI tool, among others. The FAIR-IMPACT project will test these tools and adapt them to the social sciences and humanities specific context where necessary. 

As the FAIR evaluation tools may become at some point a crucial part of a FAIR certification process, this FAIR-IMPACT task is particularly relevant and useful for the social sciences and humanities community.


  1. Extracted from FAIR-IMPACT and FAIRCORE4EOSC joint publication, at
  2. FAIR Data Maturity Model Working Group. (2020). FAIR Data Maturity Model. Specification and Guidelines (1.0).

Cite this blog post
Arnaud Gingold (2022, July 18). Two new European projects dedicated to FAIR principles. The road to FAIR. Retrieved June 24, 2024, from

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