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The Challenges of Reproducibility in Data-Scarce Fields
DataONE Webinar (2017)
  • Christine L Borgman
  • Peter T. Darch, University of Illinois at Urbana Champaign
Reproducing scientific results is difficult in fields whose research is characterized by large volumes of data, computationally intensive methods, and high degrees of standardization. In data scarce fields, which characterizes much of the earth sciences, reproducing results is even more challenging. Among the factors that limit reproducibility are data access, collection, curation, and accessibility. We discuss the extent to which reproducibility is an appropriate goal in data scarce domains and the tradeoffs between data reuse and reproducibility.
Publication Date
May 9, 2017
Please go to DataONE for more information, including the presentation video.

Citation Information
Christine L Borgman and Peter T. Darch. "The Challenges of Reproducibility in Data-Scarce Fields" DataONE Webinar (2017)
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