Exploring the rhythms of scientific data use

  • Authors:
  • Tiffany C. Chao

  • Affiliations:
  • University of Illinois, Urbana-Champaign, Champaign, IL

  • Venue:
  • Proceedings of the 2012 iConference
  • Year:
  • 2012

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Abstract

A better understanding of scientific data practices is needed to inform the continued development of infrastructures to support long-term use of research data. In this paper, the conceptual framework of 'rhythms' is employed in a qualitative analysis of data practices in the domain of earth science to explain the use of data types over time, from a biographical, organizational, phenomenal, and infrastructural perspective. By tracing the rhythms associated with two specific data types--physical field samples and computational model output---patterns of short-term and long-term use within subdisciplines and their relationships to scientists' perceptions and behaviors connected with the scholarly value of these data types begin to emerge. Preliminary results suggest that data rhythms should be understood as part of the service context for the curation and long-term maintenance of research data.