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FAIR pointers

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This short Carpentries-style course caters for people working in the Life Sciences with little or no experience with the FAIR principles (Findable, Accessible, Interoperable, Reusable). The course aims to concisely introduce FAIR, its concepts and terminology and supplement all material with signposting to helpful FAIR resources. These resources include RDMkit, FAIR Cookbook, RDMbites, FAIRsharing and the Data Stewardship Wizard, offered through the ELIXIR open-access infrastructure, supporting FAIR research data management.

Keywords: Clinical Dataset, Dataset, FAIR, Metadata, Open Science, data licensing, data management plan, data sharing, data stewardship, persistent identifie, reproducibility

Target audience: Undergraduate student, Postgraduate student, Postgraduate researcher, Researcher, Clinician, Engineer, Trainer, Industry, Public sector, Research Software Engineer, Bioinformatician, Open Research Specialist, Research skills educator

Resource type: Online Resource

Authors: Robert Andrews, Nick Juty, Munazah Andrabi, Nicola Soranzo, Sara Morsy, Kellie Snow, Korneel Hens, Philippe Rocca-Serra, Laura Cooper, Xenia Perez Sitja, Andrew Mason, Branka Franicevic, Saskia Lawson-Tovey, Krzysztof Poterlowicz, Katarzyna Kamieniecka

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