Jeremy Frumkin
Executive Director, Research Technologies
University of Arizona
The rapid growth and adoption of data science approaches to research bring new challenges and opportunities for managing research data. Interestingly, while there is a great deal of attention being paid towards open access of research outputs, and federal funding agencies (as well as other funders) are increasingly adopting open access requirements for scholarly and data outputs, at the same time many federal funding agencies are also beginning to require new controls for research data, and universities are taking more seriously the need to manage their institutional risk by providing institutional support for long-standing data control standards (such as HIPAA), as well as developing support for newer control standards (such as CUI – controlled, unclassified information). This case study will describe how the University of Arizona has approached supporting research data that requires controls, including successes and lessons learned, and will conclude with thoughts towards future opportunities and challenges both for research computing units and academic libraries.
