z-logo
open-access-imgOpen Access
Moving Archival Practices Upstream: An Exploration of the Life Cycle of Ecological Sensing Data in Collaborative Field Research
Author(s) -
Jullian C. Wallis,
Christine L. Borgman,
Matthew S. Mayernik,
Alberto Pepe
Publication year - 2008
Publication title -
international journal of digital curation
Language(s) - English
Resource type - Journals
ISSN - 1746-8256
DOI - 10.2218/ijdc.v3i1.46
Subject(s) - context (archaeology) , upstream (networking) , field (mathematics) , data curation , data science , interpretation (philosophy) , computer science , knowledge management , history , archaeology , computer network , mathematics , pure mathematics , programming language
The success of eScience research depends not only upon effective collaboration between scientists and technologists but also upon the active involvement of data archivists. Archivists rarely receive scientific data until findings are published, by which time important information about their origins, context, and provenance may be lost. Research reported here addresses the life cycle of data from collaborative ecological research with embedded networked sensing technologies. A better understanding of these processes will enable archivists to participate in earlier stages of the life cycle and to improve curation of these types of scientific data. Evidence from our interview study and field research yields a nine-stage life cycle. Among the findings are the cumulative effect of decisions made at each stage of the life cycle; the balance of decision-making between scientific and technology research partners; and the loss of certain types of data that may be essential to later interpretation

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom