Applying FAIR principles to open science and industry to drive innovation: challenges and opportunities

 

Background

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, the speakers discuss the theory and practice of implementing FAIR Principles for applied science and industrial research.
The workshop is a meeting point for OntoCommons and several key initiatives focusing on FAIR (GOFAIR, FAIRsFAIR, FairSharing) and the Open Science community. Through this workshop the participants can gather inputs and suggestions for implementing FAIR and Open Science/Data from the Open Science community.

 

Audience

The target audience of the workshop is mainly data managers, applied researchers (e.g., industrial applications) and open science researchers, ontologists/knowledge engineers who are looking for guidance towards making their data FAIR. Additionally, members of various ontology-based standardization projects can benefit from the workshop by learning about FAIR principles and how to apply and assess them on their pilots.

 

Agenda

A glimpse to the FAIR initiative/projects landscape

16:30 - 16:40

FAIRsFAIR perspective, Hanna Koivula (CSC)

16:40 - 16:55 FAIR in practice: FAIRsharing and the FAIR Cookbook, Allyson Lister (University of Oxford), Susanna Assunta Sansone (University of Oxford)

OntoCommons and FAIR principles

16:55 - 17:10

Evaluating FAIRness in OntoCommons, Yann Le Franc (e-Science Data Factory), Anna Fensel (University of Innsbruck), Umutcan Simsek (University of Innsbruck)

Implementing FAIR: practical examples from the OntoCommons project

17:10 - 17:20

An industrial demonstrator, Sebastian Scholze (ATB), Ana Correia (ATB)

17:20 - 17:30

Driving Industrial Innovation with Open Science, Martin Horsch (HLRS)

Interactive session: What should we do to foster FAIR implementation and Open Science in industry?

17:30 - 18:00

Moderator: Yann Le Franc  (e-Science Data Factory)

 

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