How to make EOSC services FAIR? Experience and challenges
- Diego Scardaci (EGI.eu)
Digital scientific data, tools, workflows and services are becoming available at increased speed and unprecedented scale. Unfortunately, a large segment of these digital objects remains unnoticed, un-accessed or un-used beyond their producer team, limiting our abilities of extracting maximum benefit and knowledge from these research investments.
The F.A.I.R. (Findable, Accessible, Interoperable, Reusable) principle was first introduced in a workshop held in Leiden in 2014, where a group of like-minded academic and private stakeholders met to discuss ways to overcome obstacles in data discovery and reuse. While various initiatives are already active defining how FAIR principles can be implemented for research data, more work is needed to understand how services can be made FAIR. Reproducibility of science cannot be achieved without FAIR data processing services.
This session aims to introduce initiatives that are tackling this problem space and will offer a forum to discuss future work needed to offer a platform for the development and operation of FAIR services. This session is intended for prospective EOSC service providers, technology providers and software providers from research infrastructures, research projects and scientific collaborations.
The presentations and discussion of the session aim at answering the following questions:
1. What makes a service FAIR?
2. How do different initiatives, tools, protocols, policies and processes support FAIR service providers?
3. How should FAIR-compliant services be identified, certified and shared within EOSC?
4. How should the EOSC community coherently support the developers and operators of FAIR services?