Research Data Management

Welcome!

This guide provides resources to understand and navigate data management throughout the data lifecycle.

David Arredondo and Laurinda Weisse can help guide your data journey. 

What is Research Data Management?

Research Data Management (RDM) is a broad concept that includes processes undertaken to create organized, documented, accessible, and reusable quality research data.¹

^{1.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.}

Based on the model created by the UK Data Service, the research data lifecycle can consist of: planning, collection, analyzing, publishing and sharing, preserving, and reusing data.