When data sharing gets close to 100%: what human paleogenetics can teach the open science movement.

When data sharing gets close to 100%: what human paleogenetics can teach the open science movement.
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DOI:
10.1371/journal.pone.0121409
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发表时间:
2015
期刊:
影响因子:
3.7
通讯作者:
Destro Bisol G
Destro Bisol G
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Anagnostou P;Capocasa M;Milia N;Sanna E;Battaggia C;Luzi D;Destro Bisol G

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本研究分析了1988年至2013年间发表的162篇古人类DNA论文中关于线粒体、Y染色体和常染色体多态性的数据共享。估计的共享率与总体相近(97.6%±2.1%),大大高于其他遗传研究领域(进化遗传学、医学遗传学和法医遗传学)。基于问卷的调查和对期刊编辑政策的审查都表明,这种高分享率不能简单地解释为需要遵守利益相关者的要求。大多数数据都是通过正文提供的,但随着全线粒体和下一代测序方法的引入,主数据库的使用也在增加。我们的研究突出了三个重要方面。首先,我们的研究结果表明,研究人员对科学进步的开放性和透明度的重要性的认识可以补充利益相关者的政策,以实现非常高的共享率。其次,广泛的数据共享并不一定与普遍使用最大化数据可查找性、可访问性、可用性和保存的实践相一致。详细了解数据发布的不同方式对于发现采用最佳共享模式的失败并了解如何纠正它们非常有用。第三,也是最后一点,人类古遗传学的案例告诉我们,即使在复杂的实验挑战面前,对开放科学重要性的广泛认识对于建立可靠的科学实践也很重要。
This study analyzes data sharing regarding mitochondrial, Y chromosomal and autosomal polymorphisms in a total of 162 papers on ancient human DNA published between 1988 and 2013. The estimated sharing rate was not far from totality (97.6% ± 2.1%) and substantially higher than observed in other fields of genetic research (evolutionary, medical and forensic genetics). Both a questionnaire-based survey and the examination of Journals’ editorial policies suggest that this high sharing rate cannot be simply explained by the need to comply with stakeholders requests. Most data were made available through body text, but the use of primary databases increased in coincidence with the introduction of complete mitochondrial and next-generation sequencing methods. Our study highlights three important aspects. First, our results imply that researchers’ awareness of the importance of openness and transparency for scientific progress may complement stakeholders’ policies in achieving very high sharing rates. Second, widespread data sharing does not necessarily coincide with a prevalent use of practices which maximize data findability, accessibility, useability and preservation. A detailed look at the different ways in which data are released can be very useful to detect failures to adopt the best sharing modalities and understand how to correct them. Third and finally, the case of human paleogenetics tells us that a widespread awareness of the importance of Open Science may be important to build reliable scientific practices even in the presence of complex experimental challenges.
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