Research Data Management Guide

Research Data Management (RDM) is a broad concept that includes processes undertaken to create organized, documented, accessible, and reusable quality research data.

Louise Corti, Veerle Van den Eynden, Libby Bishop, and Matthew Woollard, Managing and Sharing Research Data: A Guide to Good Practice (Los Angeles: Sage, 2014), 2.

The data life cycle provides a high level overview of the stages involved in successful management and preservation of data for use and reuse. Multiple versions of a data life cycle exist with differences attributable to variation in practices across domains or communities.