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Open science? Responsiveness to requests for data in a review of smoking cessation interventions

Bibliographic Data

ID14827560
AuthorsYifei Pei (0009-0008-8254-5050, University of North Carolina at Chapel Hill), Mayla Gilliam (University of North Carolina at Chapel Hill), Olivia Listrom (0009-0003-2039-4043, University of North Carolina at Chapel Hill), Andrea Valencia Bermúdez (University of North Carolina at Chapel Hill), Andrea Bermúdez (University of North Carolina at Chapel Hill), Alexander Kenny (University of North Carolina at Chapel Hill), Marijn De Bruin (0000-0003-3100-6803, Radboud Institute of Health Sciences, IQ Health, Radboud University Medical Center , Nijmegen), Seth M Noar (0000-0002-3453-5391, University of North Carolina at Chapel Hill), Adam O Goldstein (0000-0002-0664-235X, Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill , Chapel Hill, NC 27599), Paschal Sheeran (0000-0001-7449-4590, University of North Carolina at Chapel Hill)
Year2025
Volume59
Issue1
Publication date2025-01-04
Open AccessYes
TypeARTICLE
VenueAnnals of Behavioral Medicine (JOURNAL)
Journal identifiersISSN: 0883-6612 • E-ISSN: 1532-4796
PublisherOxford University Press (PUBLISHER • GB)
DOI10.1093/abm/kaaf029
PMID40298095
OpenAlexW4409948226
LanguageEN
References cited11

OBJECTIVE: Little research has examined rates or correlates of adherence to Open Science practices such as data sharing. We investigated how often researchers share data for inclusion in a meta-analysis and their reasons for not sharing data, and tested factors that could be associated with data sharing. METHODS: We requested data for 189 studies (167 authors) as part of a National Cancer Institute-funded meta-analysis of quit intentions and smoking cessation. Authors were contacted via email up to 4 times. We tracked responses, reasons for not sharing data, and coded 23 features of the author team (eg, number of authors and h-index), the request (eg, amount of information requested), and the study (eg, year of publication and preregistration). RESULTS: Thirty-five percent of authors provided the requested data, 21% responded but did not provide data, and 44% never responded to our request. Of the 37 reasons offered for not sharing data, the most common were loss of access to data (76%) and lack of time (11%). More recent trials, fewer citations, publication in medical (vs. behavioral) journals, and study preregistration were each associated with providing the requested data (Ps < .05). CONCLUSIONS: Contacting authors for unpublished data resulted in a moderate response rate (56%) and modest provision of data (35%). Barriers to data sharing such as access and time constraints highlight challenges faced by behavioral health researchers in promoting transparency. The factors associated with responsiveness underscore the importance of journal policies and Open Science practices in enhancing data sharing.

Alternative medicine · Data sharing · Health psychology · Open data · Open Science · Psychiatry · Psychological intervention · Public health · Smoking cessation · Transparency (behavior) · World Wide Web · Computer Science · Health Policy Implementation Science · Medicine · Meta-analysis and systematic reviews · Nursing · Psychology · Survey Methodology and Nonresponse

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    Open Access•Maximilian Maier, František Bartoš et al.•Proceedings of the National…•2022

  • Pragmatic evaluation of methods for retrieving unpublished information on comparator interventions in a systematic review of smoking cessation trials

    Open Access•Neža Javornik, Daniel J H Powell et al.•Psychology & Health•2024

Highly citedNo

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