布里斯托尔大学的一项调查显示,在健康和生命科学领域,在接受论文时,共享研究数据最普遍的障碍是什么。

Q2 Pharmacology, Toxicology and Pharmaceutics
F1000Research Pub Date : 2025-08-15 eCollection Date: 2025-01-01 DOI:10.12688/f1000research.161819.2
Rrita Bajraktari, Fiona Booth, Marcus Munafo, Nicholas Beazley-Long
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引用次数: 0

摘要

背景:共享研究数据对于研究的验证和重用至关重要,但跨学科的挑战仍然存在,如心理学和生物医学科学。虽然全球倡议促进开放科学,但了解特定学术背景下的本地化障碍对于实施有效的解决方案至关重要。目的:调查英国布里斯托尔大学(University of Bristol)健康与生命科学学院(FHLS)内,在接受发表时,阻碍手稿研究数据共享的最普遍的障碍和原因。方法:我们向FHLS研究人员分发了一份全面的调查,解决了后勤、技术和文化方面的挑战。共有143名参与者提供了他们在数据共享方面的经验。结果:确定的主要障碍是时间限制和准备过程的复杂性,34%的人报告他们“通常”或“总是”缺乏足够的时间来充分准备他们的数据以进行共享。其他障碍包括没有分享权(27%)、技术支持不足(15%)和研究团队内部激励有限。此外,定性答复强调对数据共享基础设施和指导缺乏信心。结论:这些发现强调了有针对性的干预措施对加强数据共享实践的重要性。解决方案应该优先考虑数据准备过程,明确数据所有权政策,并提供量身定制的培训计划。从一开始就将数据共享需求整合到研究工作流程中可以显著缓解这些挑战。我们的研究为布里斯托尔大学FHLS内部支持开放科学文化的资源和基础设施的开发提供了可操作的建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

The most prevalent perceived barriers to sharing research data at the point of manuscript acceptance in health and life sciences: a survey at the University of Bristol.

The most prevalent perceived barriers to sharing research data at the point of manuscript acceptance in health and life sciences: a survey at the University of Bristol.

The most prevalent perceived barriers to sharing research data at the point of manuscript acceptance in health and life sciences: a survey at the University of Bristol.

Background: Sharing research data is critical for study validation and reuse, yet challenges persist across disciplines, such as psychology 1 and biomedical science 2. While global initiatives promote open science, understanding localized barriers in specific academic contexts is vital to implementing effective solutions.

Objective: To investigate the most prevalent perceived barriers and reasons that prevent the sharing of research data underlying manuscripts, at the point of their acceptance for publication, within the Faculty of Health and Life Sciences (FHLS) at the University of Bristol, a research-intensive university in the UK.

Methods: We distributed a comprehensive survey to FHLS researchers, addressing logistical, technical, and cultural challenges. A total of 143 participants provided insights into their experiences with data sharing.

Results: The primary obstacles identified were time constraints and the complexity of the preparation process, with 34% reporting they "usually" or "always" lack sufficient time to adequately prepare their data for sharing. Additional barriers included not having the rights to share (27%), insufficient technical support (15%), and limited incentives within research teams. Moreover, qualitative responses highlighted a lack of confidence in data sharing infrastructure and guidance.

Conclusions: These findings highlight the importance of targeted interventions to enhance data-sharing practices. Solutions should prioritize data preparation processes, clarify data ownership policies, and offer tailored training programs. Integrating data-sharing requirements into research workflows from the outset could significantly alleviate these challenges. Our study provides actionable recommendations to inform the development of resources and infrastructure that support a culture of open science within the FHLS at the University of Bristol.

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来源期刊
F1000Research
F1000Research Pharmacology, Toxicology and Pharmaceutics-Pharmacology, Toxicology and Pharmaceutics (all)
CiteScore
5.00
自引率
0.00%
发文量
1646
审稿时长
1 weeks
期刊介绍: F1000Research publishes articles and other research outputs reporting basic scientific, scholarly, translational and clinical research across the physical and life sciences, engineering, medicine, social sciences and humanities. F1000Research is a scholarly publication platform set up for the scientific, scholarly and medical research community; each article has at least one author who is a qualified researcher, scholar or clinician actively working in their speciality and who has made a key contribution to the article. Articles must be original (not duplications). All research is suitable irrespective of the perceived level of interest or novelty; we welcome confirmatory and negative results, as well as null studies. F1000Research publishes different type of research, including clinical trials, systematic reviews, software tools, method articles, and many others. Reviews and Opinion articles providing a balanced and comprehensive overview of the latest discoveries in a particular field, or presenting a personal perspective on recent developments, are also welcome. See the full list of article types we accept for more information.
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