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

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...

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Bibliographic Details
Published in:	Statistical science 2010-02, Vol.25 (1), p.41-50
Main Authors:	Sedransk, Nell, Young, Linda J., Kelner, Katrina L., Moffitt, Robert A., Thakar, Ani, Raddick, Jordan, Ungvarsky, Edward J., Carlson, Richard W., Apweiler, Rolf, Cox, Lawrence H., Nolan, Deborah, Soper, Keith, Spiegelman, Cliff
Format:	Article
Language:	eng
Subjects:	astronomy data Computer software Data availability Data collection data policy data reuse Data sampling Datasets DNA Editors Experimental data Forensic genetics Forensic sciences forensics statistics geochemical data base journal policies on data Metadata proteomics statistics Public domain sky survey Statistics
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Summary:	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.
ISSN:	0883-4237 2168-8745