Introduction to Research Data Management
Ray, Joyce M.
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The massive volume of research data in digital form, which has been increasing exponentially since the 1990s, poses new challenges in data management. However, it also provides new opportunities for cross-disciplinary research, complex insights, and new research questions utilizing tools and techniques for data mining and analysis. It makes possible discovery and re-use of data by investigators far removed in space and time from the original creators. This introduction to Research Data Management provides an overview of the emerging field of research data management; historical perspectives from the archival, legal, and library fields; and synopses of chapters organized under parts including: the policy context; planning; management of project data; archiving and management of data in repositories; evaluation; case studies; and final reflections and conclusion. Topics include data life cycle models; management and planning tools; copyright and licensing; citation; repository practices, workflows and services; and assessment. Case studies discuss implementation of research data management services at Cornell University, Purdue University, Rice University, and the University of Oregon. Contributors include Suzie Allard, George Alter, Neil Beagrie, Scott Brandt, Jan Brase, Jake Carlson, Ann Green, Geneva Henry, John Houghton, Michele Kimpton, Ardys Kozbial, Sherry Lake, Melissa Levine, Jared Lyle, Clifford Lynch, Laura Malloy, David Minor, Carol Minton Morris, James Mullins, Bernard Reilly, Jenn Riley, Andrew Sallans, Brian Schottlaender, MacKenzie Smith, Yvonne Socha, Gail Steinhart, Tyler Walters, Marie Waltz, Brian Westra, and Angus Whyte.