Suppr超能文献

存档原始数据:长期研究的解决方案。

Archiving Primary Data: Solutions for Long-Term Studies.

机构信息

10527A Skyline Drive, Corning, NY 14830, USA.

Département Ecologie et Gestion de la Biodiversité, UMR 7204 CNRS/MNHN/UPMC, Muséum National d'Histoire Naturelle, Paris, France.

出版信息

Trends Ecol Evol. 2015 Oct;30(10):581-589. doi: 10.1016/j.tree.2015.07.006.

Abstract

The recent trend for journals to require open access to primary data included in publications has been embraced by many biologists, but has caused apprehension amongst researchers engaged in long-term ecological and evolutionary studies. A worldwide survey of 73 principal investigators (Pls) with long-term studies revealed positive attitudes towards sharing data with the agreement or involvement of the PI, and 93% of PIs have historically shared data. Only 8% were in favor of uncontrolled, open access to primary data while 63% expressed serious concern. We present here their viewpoint on an issue that can have non-trivial scientific consequences. We discuss potential costs of public data archiving and provide possible solutions to meet the needs of journals and researchers.

摘要

近年来,期刊要求出版物中包含的原始数据开放获取的趋势得到了许多生物学家的认可,但却引起了从事长期生态和进化研究的研究人员的担忧。一项针对 73 名长期研究的首席研究员(PI)的全球调查显示,PI 们对在 PI 的同意或参与下共享数据持积极态度,并且 93%的 PI 历史上都有过数据共享。只有 8%的人赞成不受控制的原始数据开放获取,而 63%的人则表示严重关切。在这里,我们介绍了他们对这个可能产生非平凡科学后果的问题的看法。我们讨论了公开数据存档的潜在成本,并提供了可能的解决方案,以满足期刊和研究人员的需求。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验