Delineating the successful features of research data management training: a systematic review
Cherry Zin Oo, Adrian W. Chew, Adeline L. H. Wong, Joanne M. Gladding, Cecilia Stenström
Abstract
Research Data Management (RDM) is an inherently complex area that presents a challenge for institutions to effectively upskill people in RDM and get them to enact RDM best practices. This systematic review aims to provide a reference point for institutions and academic developers to design and deliver effective training for their students and staff to navigate the RDM landscape. After narrowing down from a pool of 1256 articles across 7 databases to 28 articles for analysis, this systematic review provides an overview of available RDM training and identifies three main themes in relation to key features of this RDM training.
Topics & Concepts
RDMKnowledge managementComputer sciencePoint (geometry)Systematic reviewRelation (database)Data sciencePolitical scienceData miningGeometryMEDLINEMathematicsLawComputer networkResearch Data Management PracticesScientific Computing and Data ManagementData Quality and Management