Literature DB >> 30342969

A data-sharing agreement helps to increase researchers' willingness to share primary data: results from a randomized controlled trial.

Joshua R Polanin1, Mary Terzian2.   

Abstract

BACKGROUND AND OBJECTIVES: Sharing individual participant data (IPD) among researchers, on request, is an ethical and responsible practice. Despite numerous calls for this practice to be standard, however, research indicates that primary study authors are often unwilling to share IPD, even for use in a meta-analysis. This study sought to examine researchers' reservations about data sharing and to evaluate the impact of sending a data-sharing agreement on researchers' attitudes toward sharing IPD.
METHODS: To investigate these questions, we conducted a randomized controlled trial in conjunction with a Web-based survey. We searched for and invited primary study authors of studies included in recent meta-analyses. We emailed more than 1,200 individuals, and 247 participated. The survey asked individuals about their transparent research practices, general concerns about sharing data, attitudes toward sharing data for inclusion in a meta-analysis, and concerns about sharing data in the context of a meta-analysis. We hypothesized that participants who were randomly assigned to receive a data-sharing agreement would be more willing to share their primary study's IPD.
RESULTS: Results indicated that participants who received a data-sharing agreement were more willing to share their data set, compared with control participants, even after controlling for demographics and pretest values (d = 0.65, 95% CI [0.39, 0.90]). A member of the control group is 24 percent more likely to share her data set should she receive the data-sharing agreement.
CONCLUSIONS: These findings shed light on data-sharing practices, attitudes, and concerns and can be used to inform future meta-analysis projects seeking to collect IPD, as well as the field at large.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Data sharing; Individual participant data; Meta-analysis; Randomized controlled trial; Research transparency

Mesh:

Year:  2018        PMID: 30342969     DOI: 10.1016/j.jclinepi.2018.10.006

Source DB:  PubMed          Journal:  J Clin Epidemiol        ISSN: 0895-4356            Impact factor:   6.437


  5 in total

1.  Practical Considerations and Challenges When Conducting an Individual Participant Data (IPD) Meta-Analysis.

Authors:  Sarah J Nevitt; Catrin Tudur Smith
Journal:  Methods Mol Biol       Date:  2022

2.  Systematic Review of Privacy-Preserving Distributed Machine Learning From Federated Databases in Health Care.

Authors:  Fadila Zerka; Samir Barakat; Sean Walsh; Marta Bogowicz; Ralph T H Leijenaar; Arthur Jochems; Benjamin Miraglio; David Townend; Philippe Lambin
Journal:  JCO Clin Cancer Inform       Date:  2020-03

3.  User-focused data sharing agreements: a foundation for the genomic future.

Authors:  Carolyn Petersen
Journal:  JAMIA Open       Date:  2019-10-01

4.  Incentivising research data sharing: a scoping review.

Authors:  Helen Buckley Woods; Stephen Pinfield
Journal:  Wellcome Open Res       Date:  2022-04-06

Review 5.  Obtaining and managing data sets for individual participant data meta-analysis: scoping review and practical guide.

Authors:  Matthew Ventresca; Holger J Schünemann; Fergus Macbeth; Mike Clarke; Lehana Thabane; Gareth Griffiths; Simon Noble; David Garcia; Maura Marcucci; Alfonso Iorio; Qi Zhou; Mark Crowther; Elie A Akl; Gary H Lyman; Viktoria Gloy; Marcello DiNisio; Matthias Briel
Journal:  BMC Med Res Methodol       Date:  2020-05-12       Impact factor: 4.615

  5 in total

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