Challenges of Data Management Training for Graduate Students at a Large Research University
Authors
Sheridan, MattAdamick, Jessica
Canavan, MJ
McGinty, Steven
Reznik-Zellen, Rebecca C
Schmidt, Maxine
Document Type
PosterPublication Date
2012-04-04
Metadata
Show full item recordAbstract
Objective: To describe the challenges and outcomes of the University of Massachusetts Amherst Libraries' Data Working Group's series of training workshops for graduate students on the subject of data management and preservation, with specific regard to the data management requirements of the National Science Foundation and National Institutes of Health. Participants: The Libraries' Data Working Group is composed of six members with expertise in project management, systems and web development, scholarly communication, digital archives and metadata, and science and social science librarianship. The Data Working Group is one of three subgroups of the Digital Strategies Group at the University Libraries. Description: The University of Massachusetts Amherst Libraries provides a number of services to faculty and graduate students in support of research at an institution classified as a Research University with Very High research activity (RU/VH) by the Carnegie Foundation[1]. Recognizing a high demand for greater data education, the Libraries' Data Working Group has conducted workshops for graduate students in specific disciplines -- humanities, social sciences, and sciences -- designed to address their data needs and highlight smart data management practices. Graduate students were also guided through the data management requirements of national funding agencies and potential solutions. Results: In its current capacity the Data Working Group provides educational workshops and individual consulting sessions for faculty and graduate students. The Data Working Group observed a significant portion of graduate students who had no prior experience with smart data practices or useful data management resources. This process has identified a clear need for wider, more intensive education for graduate students on data practices and the data management requirements of national funding agencies. [1] http://www.umass.edu/umhome/research.phpDOI
10.13028/3mzw-qp52Permanent Link to this Item
http://hdl.handle.net/20.500.14038/28588Rights
Copyright the Author(s)Distribution License
http://creativecommons.org/licenses/by-nc-sa/3.0/ae974a485f413a2113503eed53cd6c53
10.13028/3mzw-qp52