Presentation Open Access

FAIR-enabling Services: Validating The Framework

Ramezani, Sara; Herterich, Patricia; Gruenpeter, Morane; Hooft, Rob; Aalto, Tero

Wafula, Joseph; Giorgi Scalari, Sebastiano; Hellström, Margareta; Bruno, Ian; Meyers, Natalie

FAIRsFAIR invited providers of data services – and all other interested stakeholders - across the full range of scientific disciplines to participate in a workshop to validate and further develop the FAIR assessment framework for data services. The proposed framework is described in the recently published FAIRsFAIR Report on Basic Framework on FAIRness of Services and was introduced to the research community at a dedicated webinar

This is the second workshop, after a first workshop in February. The purpose of the workshop, which will be hosted by the authors of the report, is to discuss the six key aspects of the framework with potential users to identify gaps and formulate improvements. Feedback received will be incorporated into a further iteration of the report to be published later in 2021.


Why a FAIR Assessment Framework for Data Services?

The FAIR assessment framework for data services aims to assist service providers to ensure their data services are ‘FAIR enabling’ and optimally support the FAIRification process. This is important because realizing the full potential of a FAIR ecosystem - in which research outputs can be easily shared and optimally reused - requires looking beyond the FAIRification of data and other digital objects to also consider the infrastructure and services that act on those objects.

During the workshop the 3rd iteration of the Assessment Framework was reviewed, it is available here:

The recording of the workshop is available on YouTube.

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2021-05-20-Assessment framework for data services online workshop.pdf
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