Support for open science is equally high in opt-in versus representative samples of scientists from a research-focused US university

Abstract Many studies on open science attitudes and practice use opt-in samples. This strategy poses a problem: It is unclear whether and to what degree scholars who opt in to surveys about open science are more likely to support open science, compared to the whole population of scholars. Thus, high levels of support for open science in prior surveys might reflect self-selection bias (Heckman, 1990). In the current study, we compare attitudes toward open science in two samples of physical and life scientists in a research-focused university in the United States, differing only in sampling strategy. The first sample was collected by emailing a survey to eligible researchers at a research-focused institution, yielding a 27% participation rate. The second sample was collected by providing time to complete the survey at the beginning of regularly scheduled lab meetings at the same institution, yielding a 95% participation rate. Overall, support for open science practices was high, and there was positive evidence that the two samples answered the questions in the same way. This suggests that opt-in sampling strategies do not overestimate support for open science, at least within some populations of scientists.

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Publication Details

Journal
Quantitative Science Studies
Published
2025-12-09
DOI
https://doi.org/10.1162/qss.a.398
Primary Topic
Research Data Management Practices
Type
article
Field-Weighted Citation Impact
0.00

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article

Support for open science is equally high in opt-in versus representative samples of scientists from a research-focused US university

Hannah Hok, Ashley J Thomas, Rebecca Saxe, Chris Bourg
Quantitative Science Studies
Research Data Management Practices
article

Support for open science is equally high in opt-in versus representative samples of scientists from a research-focused US university

Hannah Hok, Ashley J Thomas, Rebecca Saxe, Chris Bourg
article en

Abstract

Abstract Many studies on open science attitudes and practice use opt-in samples. This strategy poses a problem: It is unclear whether and to what degree scholars who opt in to surveys about open science are more likely to support open science, compared to the whole population of scholars. Thus, high levels of support for open science in prior surveys might reflect self-selection bias (Heckman, 1990). In the current study, we compare attitudes toward open science in two samples of physical and life scientists in a research-focused university in the United States, differing only in sampling strategy. The first sample was collected by emailing a survey to eligible researchers at a research-focused institution, yielding a 27% participation rate. The second sample was collected by providing time to complete the survey at the beginning of regularly scheduled lab meetings at the same institution, yielding a 95% participation rate. Overall, support for open science practices was high, and there was positive evidence that the two samples answered the questions in the same way. This suggests that opt-in sampling strategies do not overestimate support for open science, at least within some populations of scientists.

Quantitative Science StudiesVol. 7
Harvard University (US), Institute of Cognitive and Brain Sciences (US), Massachusetts Institute of Technology (US)
Andrew W. Mellon Foundation
Openalex Percentile: Top 48%
Research Data Management Practices
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Support for open science is equally high in opt-in versus representative samples of scientists from a research-focused US university — Hannah Hok, Ashley J Thomas, et al. · Quantitative Science Studies (2025) | TGRS Research Map | TGRS