An International Framework to Promote Access to Data

Author:

Arzberger Peter1,Schroeder Peter2,Beaulieu Anne3,Bowker Geof1,Casey Kathleen1,Laaksonen Leif4,Moorman David5,Uhlir Paul6,Wouters Paul3

Affiliation:

1. University of California, San Diego, La Jolla, CA 92093, USA.

2. Ministry of Education, Culture and Science, Zoetermeer, Netherlands.

3. Networked Research and Digital Information, Royal Netherlands Academy of Arts and Sciences, Amsterdam, Netherlands.

4. CSC-Scientific Computing Ltd., Espoo, Finland.

5. Social Sciences and Humanities Research Council, Ottawa, Canada.

6. National Research Council, Washington, DC 20418, USA.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

Reference36 articles.

1. There are many such investments e.g. the Global Ring Network for Advanced Application Development GLORIAD is a multinational effort between China Russia and the United States that promises greater collaboration in e-science; see www.nsf.gov/od/lpa/news/03/pr03151.htm.

2. Stix G., Sci. Am.284, 80(January 2001).

3. Atkins D. E. et al. See e.g. Revolutionizing Science and Engineering Through Cyberinfrastructure: Report of the National Science Foundation Blue-Ribbon Advisory Panel on Cyberinfrastructure (National Science Foundation Arlington VA January 2003); available at www.cise.nsf.gov/sci/reports/toc.cfm.

4. In Canada for example roughly half of the large-scale research projects funded in the social sciences involve international collaborations. Without an international agreement on data sharing or access each project must formulate its own regime and make compromises on jurisdictional differences. It is only a matter of time before serious conflict arises. Internal analysis of Social Sciences and Humanities Research Council (SSHRC)-funded Major Collaborative Research Initiatives (Policy and Planning Division SSHRC 2003). See also (19).

5. Newman H., Ellsiman M., Orcutt J., Commun. ACM46, 68[(November 2003)] document the increased funding by agencies for large-scale projects that produce large data volumes.

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