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.
Publié le : 2010-02-15
Classification:
Data availability,
data reuse,
forensics statistics,
data policy,
journal policies on data,
proteomics statistics,
geochemical data base,
sky survey,
astronomy data
@article{1280841732,
author = {Sedransk, Nell and Young, Linda J. and Kelner, Katrina L. and Moffitt, Robert A. and Thakar, Ani and Raddick, Jordan and Ungvarsky, Edward J. and Carlson, Richard W. and Apweiler, Rolf and Cox, Lawrence H. and Nolan, Deborah and Soper, Keith and Spiegelman, Cliff},
title = {Make Research Data Public?---Not Always so Simple: A Dialogue for Statisticians and Science Editors},
journal = {Statist. Sci.},
volume = {25},
number = {1},
year = {2010},
pages = { 41-50},
language = {en},
url = {http://dml.mathdoc.fr/item/1280841732}
}
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. Make Research Data Public?—Not Always so Simple: A Dialogue for Statisticians and Science Editors. Statist. Sci., Tome 25 (2010) no. 1, pp. 41-50. http://gdmltest.u-ga.fr/item/1280841732/