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Repurposing data across disciplines: a study of data reuse issues between climate science and social science

Published: 13 June 2011 Publication History

Abstract

Repurposing of data raises a number of issues for use across the disciplines of climate science and social science. The issues we present are results of the work we are currently carrying out as part of the Data Conservancy Project1 which aims to preserve data for long-term known and unanticipated use over time, across disciplines and over a variety of spatial, temporal and organizational scales.

References

[1]
Parry M.L., O.F. Canziani, J.P. Palutikof, P.J. van der Linden and C.E. Hanson, Eds., 2007, Climate Change 2007: Impacts, Adaptation and Vulnerability. Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge University Press, Cambridge, UK, 982pp.
[2]
Romero Lankao, P., Qin, H. 2011: Conceptualizing urban vulnerability to global climate and environmental change, Special Issue of Current Opinion in Environmental Sustainability on Cities and Climate Change (accepted for publication)

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  • (2014)Variables As Currency: Linking Meta-Analysis Research and Data Paths in SciencesData Science Journal10.2481/dsj.14-03013(158-171)Online publication date: 2014

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  1. Repurposing data across disciplines: a study of data reuse issues between climate science and social science

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      cover image ACM Conferences
      JCDL '11: Proceedings of the 11th annual international ACM/IEEE joint conference on Digital libraries
      June 2011
      500 pages
      ISBN:9781450307444
      DOI:10.1145/1998076

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 13 June 2011

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      Author Tags

      1. case studies
      2. cross domain
      3. data in a context of use
      4. meta-analysis
      5. repurposing data
      6. social science

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      JCDL '11
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      JCDL '11: Joint Conference on Digital Libraries
      June 13 - 17, 2011
      Ontario, Ottawa, Canada

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      Overall Acceptance Rate 415 of 1,482 submissions, 28%

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      • (2014)Variables As Currency: Linking Meta-Analysis Research and Data Paths in SciencesData Science Journal10.2481/dsj.14-03013(158-171)Online publication date: 2014

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