LIBER (Association of European Research Libraries) FACTSHEET: Implementing FAIR Data Principles: The Role of Libraries (2017)
CONUL (Consortium of National and University Libraries) Guidance on the intersection of the GDPR and FAIR data sharing
CONUL (Consortium of National and University Libraries) Guidance on the intersection of the GDPR and FAIR data sharing
GO FAIR is a bottom-up, stakeholder-driven and self-governed initiative that aims to implement the FAIR data principles, making data Findable, Accessible, Interoperable and Reusable (FAIR). They provide FAIR data resources to assist researchers.
FAIR self-assessment tool created by the Australian Research Data Commons. The tool enables you to assess the ‘FAIRness’ of a dataset and determine how to enhance its FAIRness (where applicable).
FAIRdat is a tool developed by DANS (Data Archiving and Networked Services) for rating datasets on a scale of 1 to 5 for how well they comply with the FAIR principles (Findable, Accessible, Interoperable, and Reusable). It uses Survey Monkey and is still being at the pilot stage. The tool runs a series of questions (usually only maximum of 5 per principle) which follow routing options to display the star rating scored per principle. At the end of the assessment, the tool will display the star score of each principle and will also calculate and display the overall ‘R’ FAIRness score.
Guidelines from the Western Australian Governement about how to create machine readable data
FAIRsharing.org is a curated educational resource on data and metadata standards
FAIR-Aware tool includes 10 simple questions with practical tips to improve data FAIRness before deposit
LIBER’s Practical Guide to FAIR Principles in Research Libraries includes guidelines for libraries or librarians for making data FAIR
Hodson, Jones et al. (2018) Turning FAIR data into reality. Interim report of the European Commission Expert Group on FAIR data.
Wilkinson MD, Verborgh R, Bonino da Silva Santos LO, Clark T, Swertz MA, Kelpin FDL, Gray AJG, Schultes EA, van Mulligen EM, Ciccarese P, Kuzniar A, Gavai A, Thompson M, Kaliyaperumal R, Bolleman JT, Dumontier M. 2017. Interoperability and FAIRness through a novel combination of Web technologies. PeerJ Computer Science 3:e110 https://doi.org/10.7717/peerj-cs.110
The Library proactively supports and enhances the learning, teaching, and research activities of the University. The Library acts as a catalyst for your success as University of Galway’s hub for scholarly information discovery, sharing, and publication.
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