IntroductionScientific research relies mainly on multimodal, multidimensional big data generated from both animal and human organisms as well as technical data. However, unlike human data that is increasingly regulated at national, regional and international levels, regulatory frameworks that can govern the sharing and reuse of non-human animal data are yet to be established. Whereas the legal and ethical principles that shape animal data generation in many countries and regions differ, the generated data are shared beyond boundaries without any governance mechanism. This paper, through perspectives from neuroscience, shows conceptually and empirically that there is a need for animal data governance that is informed by ethical concerns. There is a plurality of ethical views on the use of animals in scientific research that data governance mechanisms need to consider.MethodsSemi-structured interviews were used for data collection. Overall, 13 interviews with 12 participants (10 males and 2 females) were conducted. The interviews were transcribed and stored in NviVo 12 where they were thematically analyzed.ResultsThe participants shared the view that it is time to consider animal data governance due to factors such as differences in regulations, differences in ethical principles, values and beliefs and data quality concerns. They also provided insights on possible approaches to governance.DiscussionWe therefore conclude that a procedural approach to data governance is needed: an approach that does not prescribe a particular ethical position but allows for a quick understanding of ethical concerns and debate about how different positions differ to facilitate cross-cultural and international collaboration.

中文翻译：

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是时候考虑动物数据治理了：神经科学的观点

简介科学研究主要依赖于动物和人体产生的多模态、多维大数据以及技术数据。然而，与在国家、区域和国际层面日益受到监管的人类数据不同，管理非人类动物数据共享和再利用的监管框架尚未建立。尽管许多国家和地区影响动物数据生成的法律和道德原则有所不同，但生成的数据是超越边界共享的，没有任何治理机制。本文从神经科学的角度，从概念和经验上表明，需要基于伦理问题进行动物数据治理。关于在科学研究中使用动物存在多种伦理观点，数据治理机制需要考虑。方法采用半结构化访谈进行数据收集。总体而言，对 12 名参与者（10 名男性和 2 名女性）进行了 13 次访谈。访谈内容被转录并存储在 NviVo 12 中，并进行主题分析。结果参与者一致认为，由于法规差异、道德原则、价值观和信仰差异以及数据质量问题等因素，现在是时候考虑动物数据治理了。他们还提供了有关可能的治理方法的见解。讨论因此，我们得出的结论是，需要一种数据治理的程序方法：一种不规定特定道德立场的方法，但可以快速理解道德问题，并就不同立场的不同之处进行辩论促进跨文化和国际合作。