Statistical Science

Make Research Data Public?—Not Always so Simple: A Dialogue for Statisticians and Science Editors

Nell Sedransk, Linda J. Young, Katrina L. Kelner, Robert A. Moffitt, Ani Thakar, Jordan Raddick, Edward J. Ungvarsky, Richard W. Carlson, Rolf Apweiler, Lawrence H. Cox, Deborah Nolan, Keith Soper, and Cliff Spiegelman
Source: Statist. Sci. Volume 25, Number 1 (2010), 41-50.

Abstract

Putting data into the public domain is not the same thing as making those data accessible for intelligent analysis. A distinguished group of editors and experts who were already engaged in one way or another with the issues inherent in making research data public came together with statisticians to initiate a dialogue about policies and practicalities of requiring published research to be accompanied by publication of the research data. This dialogue carried beyond the broad issues of the advisability, the intellectual integrity, the scientific exigencies to the relevance of these issues to statistics as a discipline and the relevance of statistics, from inference to modeling to data exploration, to science and social science policies on these issues.

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Links and Identifiers

Permanent link to this document: http://projecteuclid.org/euclid.ss/1280841732
Digital Object Identifier: doi:10.1214/10-STS320
Mathematical Reviews number (MathSciNet): MR2758882

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2012 © Institute of Mathematical Statistics

Statistical Science

Statistical Science