Abstract
Research data management has become a critical issue for campus researchers, funding agencies, and libraries, who have made substantial investments of time, energy, and resources into support for managing and sharing data. As data management programs proliferate, however, assessment of research data services has become a notorious challenge for libraries. How can we know—and demonstrate—that our efforts are having an impact, and how can we learn to make them even more effective?
In this session, we will present a survey of several frameworks for assessing research data management services. We will lead a discussion about the application of different frameworks for assessing or auditing existing skill sets, external facing services, and capacity to support an array of research data services. This discussion will be grounded in a demonstration of how we applied one framework to audit the North Carolina State University (NCSU) Libraries’s “training ground” model, which serves the dual purpose of developing competencies within our librarians and supporting researchers in their needs to manage, preserve, and share research assets.
Through an active discussion of our efforts, and the efforts of libraries around the world, we can chart a course for effective research data management that can help guide libraries already deep into the process as well as those just getting their feet wet.
Note: This presentation and conference paper is derived in part from the following publication: Davis, H. M., & Cross, W. M. (2015).Using a data management plan review service as a training ground for librarians. Journal of Librarianship and Scholarly Communication, 3(2), eP1243.
Where Do We Go From Here: Choosing a Framework for Assessing Research Data Services and Training
Research data management has become a critical issue for campus researchers, funding agencies, and libraries, who have made substantial investments of time, energy, and resources into support for managing and sharing data. As data management programs proliferate, however, assessment of research data services has become a notorious challenge for libraries. How can we know—and demonstrate—that our efforts are having an impact, and how can we learn to make them even more effective?
In this session, we will present a survey of several frameworks for assessing research data management services. We will lead a discussion about the application of different frameworks for assessing or auditing existing skill sets, external facing services, and capacity to support an array of research data services. This discussion will be grounded in a demonstration of how we applied one framework to audit the North Carolina State University (NCSU) Libraries’s “training ground” model, which serves the dual purpose of developing competencies within our librarians and supporting researchers in their needs to manage, preserve, and share research assets.
Through an active discussion of our efforts, and the efforts of libraries around the world, we can chart a course for effective research data management that can help guide libraries already deep into the process as well as those just getting their feet wet.
Note: This presentation and conference paper is derived in part from the following publication: Davis, H. M., & Cross, W. M. (2015).Using a data management plan review service as a training ground for librarians. Journal of Librarianship and Scholarly Communication, 3(2), eP1243.