First published 21 December 2019

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Abstract

Devising fit-for-purpose research data management strategies within a university is challenging. This is because the five ‘Vs’ for generated research data; its Volume, Variety, Velocity, Veracity and its Value must be constantly considered. Invariably, a combination of data V’s for any given research endeavour determine how best to manage it appropriately addressing archiving, compliance, security, privacy, sharing, reuse and so forth. As such, institutions are faced with defining, shaping and refining strategies and practicies to ensure there are consistent and adequate research data management polices and guidelines in place for their researchers. FAIR data principles are very important for embracing open data opportunities, but more broadly, research data management practices need to be established in a comprehensive way.