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Data sharing across biobanks: epistemic values, data mutability and data incommensurability

机译:跨生物库的数据共享:认知价值,数据易变性和数据不可通约性

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摘要

Despite the centrality of epistemic issues in biobank knowledge generation, there is currently a lacuna in research addressing the epistemic assumptions of biobank science and data sharing. The article addresses this lacuna. Using the insights of philosophical and sociological analysis, we examine standardization and harmonization and central challenges biobank data-sharing faces. We defend two central epistemic values, namely spatial and temporal translatability and epistemic adequacy which foster effective biobank knowledge generation. The first refers to the way in which biobank data need to be re-usable and re-purposable by bioscience researchers who did not create them. Given the perennial issues of data mutability and incommensurability, we also propose epistemic adequacy. In uncovering the social and epistemic foundations of biobank science, we emphasize issues essential for achieving effective and transparent biobank practice and productive communication and engagement with the public about the nature, potential and limits of biobanks.
机译:尽管认知问题在生物库知识生成中处于中心地位,但目前在研究生物库科学和数据共享的认知假设方面存在空白。这篇文章解决了这个空白。利用哲学和社会学分析的见解,我们研究了生物库数据共享面临的标准化和协调性以及主要挑战。我们捍卫了两个中心的认知价值,即时空可译性和认知充分性,它们促进了有效的生物库知识的产生。第一种是指没有创建生物库研究人员的生物库数据需要可重复使用和可利用的方式。考虑到数据可变性和不可通约性的长期性问题,我们还提出了认知上的充分性。在揭示生物库科学的社会和认识基础时,我们强调了实现有效和透明的生物库实践以及与公众有关生物库的性质,潜力和局限性的有效沟通和参与所必不可少的问题。

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