Full Description
It has become increasingly accepted that important digital data must be retained and shared in order to preserve and promote knowledge, advance research in and across all disciplines of scholarly endeavor, and maximise the return on investment of public funds.
To meet this challenge, colleges and universities are adding data services to existing infrastructures by drawing on the expertise of information professionals who are already involved in the acquisition, management, and preservation of data in their daily jobs. Data services include planning and implementing good data management practices, thereby increasing researchers' ability to compete for grant funding and ensuring that data collections with continuing value are preserved for reuse.
volume provides a framework to guide information professionals in academic libraries, presses, and data centers through the process of managing research data from the planning stages through the life of a grant project and beyond. It illustrates principles of good practice with use-case examples and illuminates promising data service models through case studies of innovative, successful projects and collaborations.
Contributors include: James L. Mullins, Purdue University; MacKenzie Smith, University of California at Davis; Sherry Lake, University of Virginia; Bernard Reilly, Center for Research Libraries; Jacob Carlson, Purdue University; Melissa Levine, University of Michigan; Jenn Riley, University of North Carolina at Chapel Hill; Jan Brase, German National Library of Science and Technology; Seamus Ross, University of Toronto; Michele Kimpton, DuraSpace; Brian Schottlaender, University of California, San Diego; Suzie Allard, University of Tennessee; Angus Whyte, Digital Curation Centre; Scott Brandt, Purdue University; Brian Westra, University of Oregon; Geneva Henry, Rice University; Gail Steinhart, Cornell University; and Cliff Lynch, Coalition for Networked Information.
Contents
Introduction to Research Data Management, Joyce M. Ray
PART 1: UNDERSTANDING THE POLICY CONTEXT
The Policy and Institutional Framework, James L. Mullins
Data Governance: Where Technology and Policy Collide, MacKenzie Smith
PART 2: PLANNING FOR DATA MANAGEMENT
The Use of Life Cycle Models in Developing and Supporting Data Services, Jake Carlson
Data Management Assessment and Planning Tools, Andrew Sallans and Sherry Lake
Trustworthy Data Repositories: The Value and Benefits of Auditing and Certification, Bernard F. Reilly, Jr., and Marie E. Waltz
PART 3: MANAGING PROJECT DATA
Copyright, Open Data, and the Availability-Usability Gap: Challenges, Opportunities, and Approaches for Libraries, Melissa Levine
Metadata Services, Jenn Riley
Data Citation: Principles and Practice, Jan Brase, Yvonne Socha, Sarah Callaghan, Christine L. Borgman, Paul F. Uhlir, and Bonnie Carroll
PART 4: ARCHIVING AND MANAGING RESEARCH DATA IN REPOSITORIES
Assimilating Digital Repositories Into the Active Research Process,Tyler Walters
Partnering to Curate and Archive Social Science Data, Jared Lyle, George Alter, and Ann Green
Managing and Archiving Research Data:Local Repository and Cloud-Based Practices, Michele Kimpton and Carol Minton Morris
Chronopolis Repository Services, David Minor, Brian E. C. Schottlaender, and Ardys Kozbial
PART 5: MEASURING SUCCESS
Evaluating a Complex Project: DataONE, Suzie Allard
What to Measure? Toward Metrics for Research Data Management, Angus Whyte, Laura Molloy, Neil Beagrie, and John Houghton
PART 6: BRINGING IT ALL TOGETHER: CASE STUDIES
An Institutional Perspective on Data Curation Services: A View from Cornell University,Gail Steinhart
Purdue University Research Repository: Collaborations in Data Management, D. Scott Brandt
Data Curation for the Humanities: Perspectives From Rice University, Geneva Henry
Developing Data Management Services for Researchers at the University of Oregon, Brian Westra
CLOSING REFLECTIONS: LOOKING AHEAD
The Next Generation of Challenges in the Curation of Scholarly Data, Clifford Lynch
About the Contributors
Index
