Data management at scale

Abstract

This paper offers a high-level, non-scientific assessment regarding the impact of research library based data management services, particularly related to predictive data analytics - an area where the corporate sector has arguably made more tangible impact. The fundamental premise rests upon the assertion that research libraries should consider the potential consequences, need for interpretation and degree of control to better allocate and optimize scarce resources for data management. By doing so, it may be possible to support broader goals of data management at scale, identify network effects through linked data and highlight possibilities for partnerships, including with the corporate sector.