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Data management has become a critical challenge faced by a wide array of scientific disciplines in which the provision of sound data management is pivotal to the achievements and impact of research projects. Massive and rapidly expanding amounts of data combined with data models that evolve over time contribute to making data management an increasingly challenging task that warrants a rethinking of its design. In this paper we present PODD, an ontology-centric architecture for data managementdoi:10.1109/escience.2010.44 dblp:conf/eScience/LiKDH10 fatcat:l3imi3tdzvhdvar2roxlcfokiq