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A Proposed Standard for the Scholarly Citation of Quantitative Data

Micah Altman

MIT Libraries; The Brookings Institution

Gary King

Harvard University

D-Lib Magazine, Vol. 13, No. 3/4, March/April 2007

An essential aspect of science is a community of scholars cooperating and competing in the pursuit of common goals. A critical component of this community is the common language of and the universal standards for scholarly citation, credit attribution, and the location and retrieval of articles and books. We propose a similar universal standard for citing quantitative data that retains the advantages of print citations, adds other components made possible by, and needed due to, the digital form and systematic nature of quantitative data sets, and is consistent with most existing subfield-specific approaches. Although the digital library field includes numerous creative ideas, we limit ourselves to only those elements that appear ready for easy practical use by scientists, journal editors, publishers, librarians, and archivists.

Number of Pages in PDF File: 11

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Date posted: January 9, 2008  

Suggested Citation

Altman, Micah and King, Gary, A Proposed Standard for the Scholarly Citation of Quantitative Data. D-Lib Magazine, Vol. 13, No. 3/4, March/April 2007. Available at SSRN: http://ssrn.com/abstract=1081955

Contact Information

Micah Altman
MIT Libraries ( email )
77 Massachusetts Avenue
50 Memorial Drive
Cambridge, MA 02139-4307
United States
HOME PAGE: http://informatics.mit.edu
The Brookings Institution ( email )
1775 Massachusetts Ave, NW
Washington, DC 20036
United States
HOME PAGE: http://informatics.mit.edu
Gary King (Contact Author)
Harvard University ( email )
1737 Cambridge St.
Institute for Quantitative Social Science
Cambridge, MA 02138
United States
617-500-7570 (Phone)
HOME PAGE: http://gking.harvard.edu
Feedback to SSRN

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