A Proposed Standard for the Scholarly Citation of Quantitative Data

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

11 Pages Posted: 9 Jan 2008

See all articles by Micah Altman

Micah Altman

Massachusetts Institute of Technology (MIT) Libraries; The Brookings Institution

Gary King

Harvard University

Abstract

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.

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: https://ssrn.com/abstract=1081955

Micah Altman

Massachusetts Institute of Technology (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

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