ERDMAS: An exemplar-driven institutional research data management and analysis strategy

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,...