Womack Ryan P
Rutgers University Libraries, Rutgers-The State University of New Jersey, New Brunswick, New Jersey, United States of America.
PLoS One. 2015 Dec 4;10(12):e0143460. doi: 10.1371/journal.pone.0143460. eCollection 2015.
This study takes a stratified random sample of articles published in 2014 from the top 10 journals in the disciplines of biology, chemistry, mathematics, and physics, as ranked by impact factor. Sampled articles were examined for their reporting of original data or reuse of prior data, and were coded for whether the data was publicly shared or otherwise made available to readers. Other characteristics such as the sharing of software code used for analysis and use of data citation and DOIs for data were examined. The study finds that data sharing practices are still relatively rare in these disciplines' top journals, but that the disciplines have markedly different practices. Biology top journals share original data at the highest rate, and physics top journals share at the lowest rate. Overall, the study finds that within the top journals, only 13% of articles with original data published in 2014 make the data available to others.
本研究从生物学、化学、数学和物理学领域影响因子排名前十的期刊中抽取了2014年发表文章的分层随机样本。对抽样文章进行原始数据报告或先前数据重用情况的检查,并对数据是否公开共享或以其他方式提供给读者进行编码。还检查了其他特征,如用于分析的软件代码的共享以及数据引用和数据数字对象标识符(DOI)的使用情况。研究发现,在这些学科的顶级期刊中,数据共享做法仍然相对少见,但各学科的做法有显著差异。生物学顶级期刊共享原始数据的比例最高,而物理学顶级期刊共享比例最低。总体而言,研究发现,在顶级期刊中,2014年发表的有原始数据的文章中只有13%将数据提供给他人。