The public sharing of primary research datasets potentially benefits the research community but is not yet common practice. In this pilot study, we analyzed whether data sharing frequency was associated with funder and publisher requirements, journal impact factor, or investigator experience and impact. Across 397 recent biomedical microarray studies, we found investigators were more likely to publicly share their raw dataset when their study was published in a high-impact journal and when the first or last authors had high levels of career experience and impact. We estimate the USA's National Institutes of Health (NIH) data sharing policy applied to 19% of the studies in our cohort; being subject to the NIH data sharing plan requirement was not found to correlate with increased data sharing behavior in multivariate logistic regression analysis. Studies published in journals that required a database submission accession number as a condition of publication were more likely to share their data, but this trend was not statistically significant. These early results will inform our ongoing larger analysis, and hopefully contribute to the development of more effective data sharing initiatives.

主要研究数据集的公开共享可能使研究界受益，但尚未成为普遍做法。在这项试点研究中，我们分析了数据共享频率是否与资助者和出版商要求、期刊影响因子或研究者经验和影响有关。在最近的 397 项生物医学微阵列研究中，我们发现当他们的研究发表在高影响力期刊上并且第一作者或最后一位作者具有高水平的职业经验和影响时，研究人员更有可能公开分享他们的原始数据集。我们估计美国国立卫生研究院 (NIH) 的数据共享政策适用于我们队列中 19% 的研究；在多元逻辑回归分析中，未发现遵守 NIH 数据共享计划要求与增加的数据共享行为相关。发表在需要数据库提交登录号作为发表条件的期刊上的研究更有可能共享其数据，但这种趋势在统计上并不显着。这些早期结果将为我们正在进行的更大规模分析提供信息，并有望有助于制定更有效的数据共享计划。