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February 2010 Make Research Data Public?—Not Always so Simple: A Dialogue for Statisticians and Science Editors
Nell Sedransk, Lawrence H. Cox, Deborah Nolan, Keith Soper, Cliff Spiegelman, Linda J. Young, Katrina L. Kelner, Robert A. Moffitt, Ani Thakar, Jordan Raddick, Edward J. Ungvarsky, Richard W. Carlson, Rolf Apweiler
Statist. Sci. 25(1): 41-50 (February 2010). DOI: 10.1214/10-STS320

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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Nell Sedransk. Lawrence H. Cox. Deborah Nolan. Keith Soper. Cliff Spiegelman. Linda J. Young. Katrina L. Kelner. Robert A. Moffitt. Ani Thakar. Jordan Raddick. Edward J. Ungvarsky. Richard W. Carlson. Rolf Apweiler. "Make Research Data Public?—Not Always so Simple: A Dialogue for Statisticians and Science Editors." Statist. Sci. 25 (1) 41 - 50, February 2010. https://doi.org/10.1214/10-STS320

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Published: February 2010
First available in Project Euclid: 3 August 2010

zbMATH: 1328.62041
MathSciNet: MR2758882
Digital Object Identifier: 10.1214/10-STS320

Rights: Copyright © 2010 Institute of Mathematical Statistics

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Vol.25 • No. 1 • February 2010
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