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Variability in academic research data management practices: implications for data services development from a faculty survey

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https://ir.library.oregonstate.edu/concern/articles/ht24wm21w

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Abstract
  • Purpose – The purpose of this paper is to demonstrate how knowledge of local research data management (RDM) practices critically informs the progressive development of research data services (RDS) after basic services have already been established. Design/methodology/approach – An online survey was distributed via e-mail to all university faculty in the fall of 2013, and was left open for just over one month. The authors sent two reminder e-mails before closing the survey. Survey data were downloaded from Qualtrics survey software and analyzed in R. Findings – In this paper, the authors reviewed a subset of survey findings that included data types, volume, and storage locations, RDM roles and responsibilities, and metadata practices. The authors found that Oregon State University (OSU) researchers are generating a wide variety of data types, and that practices vary between colleges. The authors discovered that faculty are not utilizing campus-wide storage infrastructure, and are maintaining their own storage servers in surprising numbers. Faculty-level research assistants perform the majority of data-related tasks at OSU, with the exception of data sharing, which is primarily handled by the professorial ranks. The authors found that many faculty on campus are creating metadata, but that there is a need to provide support in how to discover and create standardized metadata. Originality/value – This paper presents a novel example of how to efficiently move from establishing basic RDM services to providing more focused services that meet specific local needs. It provides an approach for others to follow when tackling the difficult question of, “What next?” with regard to providing academic RDS.
  • This is the publisher’s final pdf. The published article is copyrighted by the Emerald Group Publishing Limited and can be found at: http://www.emeraldinsight.com/loi/prog
  • Keywords: Data management, Data sharing, Survey, Metadata, Academic libraries, Research data services
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  • Whitmire, A. L., Boock, M., & Sutton, S. C. (2015). Variability in academic research data management practices: implications for data services development from a faculty survey. Program, 49(4), 382-407. doi:10.1108/PROG-02-2015-0017
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  • 49
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  • 4
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