Department of Epidemiology and Biostatistics, Texas A&M University, 212 Adriance Lab Road, College Station, TX, 77843-1266, USA.
Sci Eng Ethics. 2020 Jun;26(3):1625-1632. doi: 10.1007/s11948-020-00203-7. Epub 2020 Mar 2.
Although data sharing is one of the primary measures proposed to improve the integrity and quality of published research, studies show it remains the exception not the rule. The current study examines the availability of data in papers reporting the results of analyses of empirical data from original research in high-impact addiction journals. Thirteen high-impact journals with data sharing policies were selected from those included in the substance abuse category of the 2018 Clarivate Analytics' Journal Citation Report. The first 10 full or short original research reports that included empirical data in the most recent complete issue of each journal were electronically searched and reviewed for reference to where their data can be obtained and for a formal data sharing statement. Only eight of the 130 papers contained a data sharing statement in their text or supplementary online materials, and just one contained a direct link to the data analyzed. Data sharing was rare in the 13 high-impact addiction journals reviewed. The nature of the data reported in addiction journals might partly explain this. Currently, data sharing is not a procedure likely to improve the quality and integrity of published addiction research.
虽然数据共享是提高已发表研究完整性和质量的主要措施之一,但研究表明,数据共享仍然是例外而非常规。本研究考察了在报告原始研究实证数据分析结果的论文中,数据的可用性,这些原始研究发表在高影响力的成瘾期刊上。从 2018 年科睿唯安期刊引证报告(Clarivate Analytics' Journal Citation Report)的物质滥用类别中,选择了 13 种具有数据共享政策的高影响力期刊。电子检索并审查了最近一期的每个期刊中前 10 篇完整或简短的原始研究报告,以查找其数据可以从何处获得以及是否有正式的数据共享声明。在 130 篇论文中,只有 8 篇在正文或补充在线材料中包含数据共享声明,只有 1 篇包含了分析数据的直接链接。在审查的 13 种高影响力成瘾期刊中,数据共享非常罕见。成瘾期刊中报告的数据性质可能部分解释了这一点。目前,数据共享不太可能提高已发表成瘾研究的质量和完整性。