Bits of Power: Issues in Global Access to Scientific Data
Bits of Power: Issues in Global Access to Scientific Data
Modeling Distributed Knowledge Processes in Next Generation Multidisciplinary Alliances*
Information Systems Frontiers
Data Provenance: Some Basic Issues
FST TCS 2000 Proceedings of the 20th Conference on Foundations of Software Technology and Theoretical Computer Science
Comparative interoperability project: configurations of community, technology, organization
Proceedings of the 5th ACM/IEEE-CS joint conference on Digital libraries
Scholarly work and the shaping of digital access: Research Articles
Journal of the American Society for Information Science and Technology
Drowning in data: digital library architecture to support scientific use of embedded sensor networks
Proceedings of the 7th ACM/IEEE-CS joint conference on Digital libraries
Not by metadata alone: the use of diverse forms of knowledge to locate data for reuse
International Journal on Digital Libraries
International Journal on Digital Libraries
International Journal on Digital Libraries
Tensions across the scales: planning infrastructure for the long-term
Proceedings of the 2007 international ACM conference on Supporting group work
Scholarship in the Digital Age: Information, Infrastructure, and the Internet
Scholarship in the Digital Age: Information, Infrastructure, and the Internet
Two Bits: The Cultural Significance of Free Software
Two Bits: The Cultural Significance of Free Software
The Legal Framework for Reproducible Scientific Research: Licensing and Copyright
Computing in Science and Engineering
Scientific Collaboration on the Internet
Scientific Collaboration on the Internet
Towards a virtual organization for data cyberinfrastructure
Proceedings of the 9th ACM/IEEE-CS joint conference on Digital libraries
Open access to scientific publications
Communications of the ACM
From artifacts to aggregations: Modeling scientific life cycles on the semantic Web
Journal of the American Society for Information Science and Technology
A Vast Machine: Computer Models, Climate Data, and the Politics of Global Warming
A Vast Machine: Computer Models, Climate Data, and the Politics of Global Warming
Digital libraries for scientific data discovery and reuse: from vision to practical reality
Proceedings of the 10th annual joint conference on Digital libraries
Ensuring the Integrity, Accessibility, and Stewardship of Research Data in the Digital Age
Ensuring the Integrity, Accessibility, and Stewardship of Research Data in the Digital Age
Computer Supported Cooperative Work
Infrastructure Time: Long-term Matters in Collaborative Development
Computer Supported Cooperative Work
Computing in Science and Engineering
Definitions of dataset in the scientific and technical literature
Proceedings of the 73rd ASIS&T Annual Meeting on Navigating Streams in an Information Ecosystem - Volume 47
How institutional factors influence the creation of scientific metadata
Proceedings of the 2011 iConference
When use cases are not useful: data practices, astronomy, and digital libraries
Proceedings of the 11th annual international ACM/IEEE joint conference on Digital libraries
ECDL'06 Proceedings of the 10th European conference on Research and Advanced Technology for Digital Libraries
Beyond trust and reliability: reusing data in collaborative cancer epidemiology research
Proceedings of the 2013 conference on Computer supported cooperative work
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We must all accept that science is data and that data are science, and thus provide for, and justify the need for the support of, much-improved data curation. (Hanson, Sugden, & Alberts) Researchers are producing an unprecedented deluge of data by using new methods and instrumentation. Others may wish to mine these data for new discoveries and innovations. However, research data are not readily available as sharing is common in only a few fields such as astronomy and genomics. Data sharing practices in other fields vary widely. Moreover, research data take many forms, are handled in many ways, using many approaches, and often are difficult to interpret once removed from their initial context. Data sharing is thus a conundrum. Four rationales for sharing data are examined, drawing examples from the sciences, social sciences, and humanities: (1) to reproduce or to verify research, (2) to make results of publicly funded research available to the public, (3) to enable others to ask new questions of extant data, and (4) to advance the state of research and innovation. These rationales differ by the arguments for sharing, by beneficiaries, and by the motivations and incentives of the many stakeholders involved. The challenges are to understand which data might be shared, by whom, with whom, under what conditions, why, and to what effects. Answers will inform data policy and practice. © 2012 Wiley Periodicals, Inc.