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Scientists with GM industry links more likely to withhold data - study

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Published: 08 November 2013
Twitter

Life sciences and genetics researchers who have a relationship with industry are more likely to withhold data from publication, according to a study.

The study found that 44% of geneticists and 32% of other life sciences researchers participated in some form of data withholding in the three previous years.

The study is not new - it was published in 2006 - but it's revealing as to the amount of data on GM we're not allowed to see.
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Data withholding in genetics and the other life sciences: prevalences and predictors
Blumenthal D, Campbell EG, Gokhale M, Yucel R, Clarridge B, Hilgartner S, Holtzman NA.
Acad Med. 2006 Feb;81(2):137-45.
http://www.ncbi.nlm.nih.gov/pubmed/16436574

Institute for Health Policy, Massachusetts General Hospital/Partners HealthCare System, 50 Staniford St., Boston, MA 02114, USA.

Abstract

PURPOSE:
To better understand the variety and prevalence of data withholding in genetics and the other life sciences and to explore factors associated with these behaviors.

METHOD:
In 2000, a sample of 2,893 geneticists and other life scientists (OLS) at the 100 most research-intensive universities in the United States were surveyed concerning data withholding and sharing. The instrument was developed and pretested in 1999. The two primary outcome measures were withholding in verbal exchanges with colleagues about unpublished research (verbal withholding) and withholding as part of the publishing process (publishing withholding). The independent variables related to the personal characteristics, research characteristics of faculty, and previous experience with data withholding.

RESULTS:
A total of 1,849 faculty responded (64%): 1,240 geneticists and 600 OLS. Forty-four percent of geneticists and 32% of OLS reported participating in any one of 13 forms of data withholding in the three previous years. Publishing withholding (geneticists 35%, OLS 25%) was more frequent than verbal withholding (geneticists 23%, OLS 12%). In multivariate analyses, male gender, participation in relationships with industry, mentors' discouraging data sharing, receipt of formal instruction in data sharing, and negative past experience with sharing were significantly associated with either verbal or publishing withholding among either geneticists or OLS.

CONCLUSIONS:
Data withholding is common in biomedical science, takes multiple forms, is influenced by a variety of characteristics of investigators and their training, and varies by field of science. Encouraging openness during the formative experiences of young investigators may be critical to increased data sharing, but the effects of formal training do not appear straightforward.

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