Assessment, Usability, and Sociocultural Impacts of DataONE

A Global Research Data Cyberinfrastructure Initiative

Authors

  • Robert J. Sandusky University of Illinois at Chicago
  • Suzie Allard University of Tennessee, Knoxville
  • Lynn Baird University of Idaho
  • Leah Cannon University of Tennessee, Knoxville
  • Kevin Crowston Syracuse University
  • Amy Forrester University of Tennessee, Knoxville
  • Bruce Grant Widener University
  • Rachael Hu California Digital Library
  • Robert Olendorf Penn State University
  • Danielle Pollock Simmons University
  • Alison Specht University of Queensland
  • Carol Tenopir University of Tennessee, Knoxzville
  • Rachel Volentine University of Tennessee, Knoxville

DOI:

https://doi.org/10.2218/ijdc.v16i1.678

Abstract

DataONE, funded from 2009-2019 by the U.S. National Science Foundation, is an early example of a large-scale project that built both a cyberinfrastructure and culture of data discovery, sharing, and reuse. DataONE used a Working Group model, where a diverse group of participants collaborated on targeted research and development activities to achieve broader project goals. This article summarizes the work carried out by two of DataONE’s working groups: Usability & Assessment (2009-2019) and Sociocultural Issues (2009-2014). The activities of these working groups provide a unique longitudinal look at how scientists, librarians, and other key stakeholders engaged in convergence research to identify and analyze practices around research data management through the development of boundary objects, an iterative assessment program, and reflection. Members of the working groups disseminated their findings widely in papers, presentations, and datasets, reaching international audiences through publications in 25 different journals and presentations to over 5,000 people at interdisciplinary venues. The working groups helped inform the DataONE cyberinfrastructure and influenced the evolving data management landscape. By studying working groups over time, the paper also presents lessons learned about the working group model for global large-scale projects that bring together participants from multiple disciplines and communities in convergence research.

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Published

2021-04-18

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Section

Research Papers

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