When you are making plans to publish research, you need to plan for data sharing

Abstract

Open data is another step on the pathway of strengthening medical research. Allowing access to data facilitates testing the reproducibility of research findings. It also allows for the testing of new hypotheses, the incorporation of individual level data into meta-analyses and the development of very large data sets in which to develop and test new algorithms. There are now many data repositories that researchers can use to share their protocols, syntax and data. There are strategies both for managing what other researchers do with publically available data and for rewarding researchers who share their data. There is a strong ethical argument for making data publically available and research participants are generally supportive of this approach.

摘要

开放数据是加强医学研究的又一步。允许访问数据有助于检验研究结果的可重复性。它还可以对新的假设进行验证, 将单个层次的数据合并到元分析中, 以及研发用于开发和测试新算法的超大数据集。现在有许多数据存储库, 研究人员可以使用它们来共享协议、语法和数据。有一些策略既可以管理其他研究人员如何使用公开的数据, 也可以奖励分享数据的研究人员。目前有一个强烈的道德争论, 让数据公开, 研究参与者普遍支持这种方法。

Keywords:

• Open data
• data sharing

Potential conflict of interest

The authors report no conflict of interest. The authors alone are responsible for the content and writing of the paper.

Source of funding

Nil.