Teaching Research Data Management
Understanding the processes of research design and of data collection, organization, storage, preservation, and sharing is critical to the success of any project, regardless of the scope of the research. From research design and conceptualization to the potential sharing of data with other researchers for replicability, as well as preserving data for the benefit of the wider research community, unique challenges, as well as opportunities for research data management (RDM) and research data services (RDS) teams, are presented; these include problems, issues, and concerns regarding how to prepare a data management plan (DMP) and how to manage data collection, analysis, storage, and preservation. In response to these concerns, academic institutions typically have structured RDS for students and faculty through the support of many stakeholders: academic librarians who are familiar with the disciplinary resources and have skills in archives, data curation, and institutional repositories; information technology services staff who provide solutions to infrastructure issues regarding storage and archiving; and other campus research administration entities that deal with the funding, integrity, and administration aspects of the research.
Farooq, Omer, Heppler, Jason A., & Ehrig-Page, Kate M. “Creating Capacity for Research Data Services at Regional Universities.” In Teaching Research Data Management, edited by Julia Bauder, 155-176. Chicago: ALA Editions, 2022.