Koivula, H.

2021

Abstract: FAIR principles provide a unique framework for creating a machine actionable data management environment supporting Open Science and Open data but also data and information exchange within organizations such as industries. In this session, we aim at discussing the theory and practice of implementing FAIR Principles for applied science and industrial research. The workshop is a meeting point for OntoCommons (www.ontocommons.eu), an EU Horizon 2020 project that aims to improve the state of the art in ontology data documentation in science and industry, and several key initiatives focusing on FAIR (such as GOFAIR, FAIRsFAIR, FairSharing) and the Open Science community. Through this workshop we aim at gathering inputs and suggestions for implementing FAIR and Open Science/Data from the Open Science community. We will briefly introduce key general projects and initiatives related to FAIR, the ongoing work in OntoCommons and discuss how OntoCommons can leverage their work to support a better integration of FAIR principles into current and forthcoming industrial demonstrators including Open Science demonstrators. This presetation is an introduction to the FAIRsFAIR project.

Keyword(s): FAIR principles ; FAIRness ; Assessment ; FAIR in practice