A comprehensive review of data sharing practices in addiction research: Trends, challenges, and future directions

IF 3.6 2区医学 Q1 PSYCHIATRY

Drug and alcohol dependence Pub Date : 2025-07-22 DOI:10.1016/j.drugalcdep.2025.112794

Logan Corwin , Christopher Tran , Eli Paul , Eli Oldham , Jacob Duncan , Annes Elfar , Alexis Hagood , Alicia Ito Ford , Matt Vassar

{"title":"A comprehensive review of data sharing practices in addiction research: Trends, challenges, and future directions","authors":"Logan Corwin , Christopher Tran , Eli Paul , Eli Oldham , Jacob Duncan , Annes Elfar , Alexis Hagood , Alicia Ito Ford , Matt Vassar","doi":"10.1016/j.drugalcdep.2025.112794","DOIUrl":null,"url":null,"abstract":"<div><h3>Aim</h3><div>To evaluate the current state of data sharing practices in addiction medicine (AM) research, focusing on data sharing statements (DSS).</div></div><div><h3>Background</h3><div>Data sharing is essential for transparency and reproducibility, yet its adoption in AM research remains unclear.</div></div><div><h3>Measurement</h3><div>We reviewed articles from the top 10 AM journals (2018–2023). Data were extracted using a standardized form. Logistic regression, latent class analysis, and thematic analysis were conducted to examine factors associated with DSS inclusion. Authors were also contacted to assess willingness to share data.</div></div><div><h3>Findings</h3><div>Only 22.75 % of articles included a DSS, though this rose to 52 % by 2023. DSS inclusion was higher in clinical trials than cohort studies (24.49 % vs. 16.59 %), and more common in open access articles (24.36 %) than non-open access ones (19.55 %). Journals with both journal and publisher “Requires” policies had the highest inclusion rate (43.07 %). Logistic regression confirmed policy alignment as the strongest predictor of DSS presence. Thematic analysis showed most DSS offered conditional access (74.14 %), with few using public repositories (12.07 %). Among authors contacted, 62 % were willing to share data, though many imposed conditions related to ethics, privacy, or resource limitations.</div></div><div><h3>Conclusion</h3><div>The implementation of DSS is increasing in AM research, but most indicate restricted access. Additionally, journal and publisher policies play a crucial role in promoting data sharing. Efforts to address the barriers to data sharing and use of open data repositories are needed to improve addiction research.</div></div>","PeriodicalId":11322,"journal":{"name":"Drug and alcohol dependence","volume":"275 ","pages":"Article 112794"},"PeriodicalIF":3.6000,"publicationDate":"2025-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Drug and alcohol dependence","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0376871625002479","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHIATRY","Score":null,"Total":0}

引用次数: 0

Abstract

Aim

To evaluate the current state of data sharing practices in addiction medicine (AM) research, focusing on data sharing statements (DSS).

Background

Data sharing is essential for transparency and reproducibility, yet its adoption in AM research remains unclear.

Measurement

We reviewed articles from the top 10 AM journals (2018–2023). Data were extracted using a standardized form. Logistic regression, latent class analysis, and thematic analysis were conducted to examine factors associated with DSS inclusion. Authors were also contacted to assess willingness to share data.

Findings

Only 22.75 % of articles included a DSS, though this rose to 52 % by 2023. DSS inclusion was higher in clinical trials than cohort studies (24.49 % vs. 16.59 %), and more common in open access articles (24.36 %) than non-open access ones (19.55 %). Journals with both journal and publisher “Requires” policies had the highest inclusion rate (43.07 %). Logistic regression confirmed policy alignment as the strongest predictor of DSS presence. Thematic analysis showed most DSS offered conditional access (74.14 %), with few using public repositories (12.07 %). Among authors contacted, 62 % were willing to share data, though many imposed conditions related to ethics, privacy, or resource limitations.

Conclusion

The implementation of DSS is increasing in AM research, but most indicate restricted access. Additionally, journal and publisher policies play a crucial role in promoting data sharing. Efforts to address the barriers to data sharing and use of open data repositories are needed to improve addiction research.

查看原文本刊更多论文

成瘾研究中数据共享实践的综合回顾：趋势、挑战和未来方向

目的评价成瘾医学（AM）研究中数据共享实践的现状，重点关注数据共享声明（DSS）。数据共享对于透明度和可重复性至关重要，但其在AM研究中的采用尚不清楚。我们回顾了前10名AM期刊（2018-2023）的文章。使用标准化表格提取数据。采用逻辑回归、潜在分类分析和主题分析来检验与DSS纳入相关的因素。我们还联系了作者，以评估他们分享数据的意愿。只有22.75%的文章包含DSS，尽管到2023年这一比例上升到52%。临床试验中DSS的纳入率高于队列研究（24.49% vs. 16.59%），在开放获取文献中（24.36%）比非开放获取文献（19.55%）更常见。同时采用期刊和出版商“要求”政策的期刊的纳入率最高（43.07%）。Logistic回归证实政策一致性是决策支持综合征存在的最强预测因子。专题分析显示，大多数DSS提供有条件访问（74.14%），很少使用公共存储库（12.07%）。在联系的作者中，62%的人愿意分享数据，尽管许多人施加了与道德、隐私或资源限制有关的条件。结论DSS在AM研究中的应用越来越多，但大多存在准入限制。此外，期刊和出版商政策在促进数据共享方面发挥着至关重要的作用。需要努力解决数据共享和使用开放数据存储库的障碍，以改进成瘾研究。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Drug and alcohol dependence 医学-精神病学

CiteScore

7.40

自引率

7.10%

发文量

409

审稿时长

41 days

期刊介绍： Drug and Alcohol Dependence is an international journal devoted to publishing original research, scholarly reviews, commentaries, and policy analyses in the area of drug, alcohol and tobacco use and dependence. Articles range from studies of the chemistry of substances of abuse, their actions at molecular and cellular sites, in vitro and in vivo investigations of their biochemical, pharmacological and behavioural actions, laboratory-based and clinical research in humans, substance abuse treatment and prevention research, and studies employing methods from epidemiology, sociology, and economics.