Institutional Data Management in Higher Education

Published:
Briefs, Case Studies, Papers, Reports
Author(s) and Contributors:
Author(s): Ron Yanosky
Source(s) and Collection(s):
Sources(s): EDUCAUSE Research Collection(s): Research Report
ParentTopics:
Access Control Analytics Data Administration and Management Data Governance Data Security Identity and Access Management Privacy

Abstract

Abstract

This 2009 ECAR study of institutional data management examines the policies and practices by which higher education institutions effectively collect, protect, and use digital information assets to meet academic and business needs. Importantly, it also explores the impact of the “data big bang” on colleges and universities and the way information technology (IT) organizations deal with it. While the overall guiding concept is data management, the definition of data management that informs this study refers broadly to information assets in digital form. The study takes a multipart approach that includes a literature review to examine data management frameworks and definitions and to define issues and establish research questions; consultation with higher education IT administrators and data management experts to identify and validate survey questions; a quantitative web-based survey of EDUCAUSE member institutions that received 309 responses, 78% of which were from the institution CIO or equivalent; qualitative interviews with 23 higher education IT leaders and staff; and two case studies, one examining a sensitive data risk reduction initiative at the University of Virginia, and one concerning Chronopolis, a multi-institutional grid-based project for the long-term preservation of research data.

Table of Contents
Entire Study Institutional Data Management in Higher Education
  Foreword
Chapter 1 Executive Summary
Chapter 2 Introduction and Methodology
Chapter 3 The Data Management Environment
Chapter 4 Data Quality and Analytics
Chapter 5 Data Stewardship, Security, and Policies
Chapter 6 Institutional Content Management
Chapter 7 Research Data Management
Chapter 8 Data Management Outcomes
Chapter 9 Institutional Data Management in an Age of Superabundant Information
Appendix A Institutional Respondents to the Online CIO Survey
Appendix B Interviewees in Qualitative Research
Appendix C Supplementary Tables
Appendix D Bibliography
Case Studies
Revitalizing Data Stewardship through Risk Reduction: Managing Sensitive Data at the University of Virginia
The Chronopolis Project: A Grid-based Archival Digital Preservation Solution
Online Supporting Materials
Key Findings
Roadmap
Survey Instrument

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