Completeness, coverage & equivalence in scientific data records

Authors

  • Andrea K. Thomer,

    1. Center for Informatics Research in Science and Scholarship, Graduate School of Library and Information Science, University of Illinois at Urbana-Champaign, 501 E. Daniel St. Champaign, IL 61820–6211 USA
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  • Karen S. Baker,

    1. Center for Informatics Research in Science and Scholarship, Graduate School of Library and Information Science, University of Illinois at Urbana-Champaign, 501 E. Daniel St. Champaign, IL 61820–6211 USA
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  • Simone Sacchi,

    1. Center for Informatics Research in Science and Scholarship, Graduate School of Library and Information Science, University of Illinois at Urbana-Champaign, 501 E. Daniel St. Champaign, IL 61820–6211 USA
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  • David Dubin

    1. Center for Informatics Research in Science and Scholarship, Graduate School of Library and Information Science, University of Illinois at Urbana-Champaign, 501 E. Daniel St. Champaign, IL 61820–6211 USA
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Abstract

Previously we asked, “When is a record data and when is it a fish?” (Wickett et al., 2012). In this work, we ask, “when and in what contexts are a record and a fish equivalent?” We describe and compare a collection of potentially equivalent records describing a Mola mola, or Ocean Sunfish, specimen. We calculate the Metadata Coverage Index (MCI) of each record and explore the use the Systematic Assertion Model (Dubin, 2010) to support investigation of the assertions contained in these data records.

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