It's all in the timing: calibrating temporal penalties for biomedical data sharing
It's all in the timing: calibrating temporal penalties for biomedical data sharing
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DOI：
10.1093/jamia/ocx101
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发表时间：
2018-01-01
影响因子：
6.4
通讯作者：
Malin, Bradley A.
中科院分区：
文献类型：
--
作者：
Xia, Weiyi;Wan, Zhiyu;Malin, Bradley A.
生物医学科学是由以前所未有的速度积累的数据集驱动的，其数量和丰富性不断增长。有各种举措使这些数据集更广泛地提供给签署数据使用证书协议的接收者，从而对违规行为进行处罚。一种特别流行的惩罚是暂时撤销接收者的数据使用权，通常为期数月。这项政策是基于这样的假设，即生物医学研究数据的价值随着时间的推移而显著贬值;然而，没有进行任何研究来证实这一信念。本研究探讨了这一假设是否成立以及数据科学政策的含义。本研究检验了数据对科学研究人员的价值，即基于数据的出版物的影响，随着时间的推移而减少的假设。该假设通过混合线性效应模型进行了正式检验，该模型使用了2007年至2013年之间的约1200篇出版物，这些出版物使用了美国国立卫生研究院的数据共享计划基因型和表型数据库的数据集。分析表明，基于基因型和表型数据库数据集的出版物的影响因子以统计学显著的方式贬值。然而，我们进一步发现，折旧率是缓慢的，只有10%，平均每年。数据的持久价值为后续研究意味着，撤销使用短时间内可能不足以阻止那些谁会违反数据使用证书协议，可能需要调用替代的惩罚机制。
Biomedical science is driven by datasets that are being accumulated at an unprecedented rate, with ever-growing volume and richness. There are various initiatives to make these datasets more widely available to recipients who sign Data Use Certificate agreements, whereby penalties are levied for violations. A particularly popular penalty is the temporary revocation, often for several months, of the recipient's data usage rights. This policy is based on the assumption that the value of biomedical research data depreciates significantly over time; however, no studies have been performed to substantiate this belief. This study investigates whether this assumption holds true and the data science policy implications.This study tests the hypothesis that the value of data for scientific investigators, in terms of the impact of the publications based on the data, decreases over time. The hypothesis is tested formally through a mixed linear effects model using approximately 1200 publications between 2007 and 2013 that used datasets from the Database of Genotypes and Phenotypes, a data-sharing initiative of the National Institutes of Health.The analysis shows that the impact factors for publications based on Database of Genotypes and Phenotypes datasets depreciate in a statistically significant manner. However, we further discover that the depreciation rate is slow, only 10% per year, on average.The enduring value of data for subsequent studies implies that revoking usage for short periods of time may not sufficiently deter those who would violate Data Use Certificate agreements and that alternative penalty mechanisms may need to be invoked.