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Science friction

Data, metadata, and collaboration

Bibliographic Data

ID11923366
AuthorsP Edwards (0000-0001-6228-1520, University of Michigan, corresponding author), Paul N Edwards (University of Michigan), Matthew S Mayernik (0000-0002-4122-0910, University of California, Los Angeles), Archer L Batcheller (University of Michigan), G C Bowker (0000-0002-7920-0413, University of Pittsburgh), Christine L Borgman (0000-0002-9344-1029, University of California, Los Angeles)
Year2011
Volume41
Issue5
Pages667-690
Publication date2011-08-15
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueSocial Studies of Science (JOURNAL)
Journal identifiersISSN: 0306-3127 • E-ISSN: 1460-3659
PublisherSAGE Publishing (PUBLISHER • US)
DOI10.1177/0306312711413314
PMID22164720
OpenAlexW2155354890
LanguageEN
Citations received178
References cited52

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

Data science · Data sharing · Interoperability · Metadata · Open Science · Process (computing · World Wide Web · Computer Science · Research Data Management Practices · Scientific Computing and Data Management · Semantic Web and Ontologies

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Unique citing works178
Citations per year12,71
Citation span2012 - 2026 (15)
Citation velocitycurrent
Highly citedYes
Citation typesNeutral: 173

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