Research Data Storage: A Framework for Success

Published:
Briefs, Case Studies, Papers, Reports
Author(s) and Contributors:
Author(s): Doug Blair Barbara Dawson Mike Fary Curt Hillegas Brian Hopkins Yolanda Lyons Heather McCullough Rick McMullen Kim Owen Mark Ratliff Harry Williams
Source(s) and Collection(s):
Sources(s): EDUCAUSE Research Collection(s): EDUCAUSE Working Group
ParentTopics:
Data Administration and Management Data Curation Data Governance Data Management Planning Data Security Research Research Computing Big Data Cyberinfrastructure Data Classification Policies High-Performance Computing (HPC)

Abstract

The ECAR Data Management Working Group (ECAR-DM) has created a framework for research data storage as an aid for higher education institutions establishing and evaluating their institution’s research data storage efforts. This paper describes areas for consideration and suggests graduated criteria to assist in that effort. ECAR-DM recognizes that each institution is unique in its requirements for research data storage and that an institution must choose its strategies and directions based on its individual needs. The framework operates with the understanding that research data storage planning and management starts with a conversation. Strategic communication and planning are critical to ascertain the support resources that are vital throughout all stages of the research data life cycle.

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