Science friction: Data, metadata, and collaboration

Paul N. Edwards, Matthew S. Mayernik, Archer L. Batcheller, Geoffrey C. Bowker, Christine L. Borgman

Research output: Contribution to journalArticlepeer-review

348 Scopus citations

Abstract

When scientists from two or more disciplines work together on related problems, they often face what we call 'science friction'. As science becomes more data-driven, collaborative, and interdisciplinary, demand increases for interoperability among data, tools, and services. Metadata - usually viewed simply as 'data about data', describing objects such as books, journal articles, or datasets - serve key roles in interoperability. Yet we find that metadata may be a source of friction between scientific collaborators, impeding data sharing. We propose an alternative view of metadata, focusing on its role in an ephemeral process of scientific communication, rather than as an enduring outcome or product. We report examples of highly useful, yet ad hoc, incomplete, loosely structured, and mutable, descriptions of data found in our ethnographic studies of several large projects in the environmental sciences. Based on this evidence, we argue that while metadata products can be powerful resources, usually they must be supplemented with metadata processes. Metadata-as-process suggests the very large role of the ad hoc, the incomplete, and the unfinished in everyday scientific work.

Original languageEnglish
Pages (from-to)667-690
Number of pages24
JournalSocial Studies of Science
Volume41
Issue number5
DOIs
StatePublished - Oct 2011

Keywords

  • collaboration
  • communication
  • data
  • metadata

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