Data Interpretation in the Digital Age.
Data Interpretation in the Digital Age.
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DOI：
10.1162/posc_a_00140
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发表时间：
2014-09-12
期刊：
影响因子：
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通讯作者：
Leonelli S
中科院分区：
文献类型：
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作者：
Leonelli S
互联网数据库的咨询和相关的计算机软件的使用，以检索，可视化和模型数据已成为许多领域的科学研究的关键组成部分。本文着重于这些发展的关系，以了解生物体的生物学，并检查的条件下，在线发布的数据的证据价值进行评估和解释的研究人员谁访问他们的方式，支持和指导使用这些数据，以促进发现。我认为需要解释数据的类型的知识作为证据的索赔有关的生物体，特别是通过与实际生物体的物理相互作用获得的知识的相关性，以评估网上发现的数据的证据价值。我的结论是，熟悉体内研究是至关重要的，以评估的质量和重要性的数据可视化在silico;和研究生物数据如何传播，可视化，评估和解释在数字时代提供了一个强大的理由，将科学的理解作为一个社会和分布式，而不是个人和本地化，成就。
The consultation of internet databases and the related use of computer software to retrieve, visualise and model data have become key components of many areas of scientific research. This paper focuses on the relation of these developments to understanding the biology of organisms, and examines the conditions under which the evidential value of data posted online is assessed and interpreted by the researchers who access them, in ways that underpin and guide the use of those data to foster discovery. I consider the types of knowledge required to interpret data as evidence for claims about organisms, and in particular the relevance of knowledge acquired through physical interaction with actual organisms to assessing the evidential value of data found online. I conclude that familiarity with research in vivo is crucial to assessing the quality and significance of data visualised in silico; and that studying how biological data are disseminated, visualised, assessed and interpreted in the digital age provides a strong rationale for viewing scientific understanding as a social and distributed, rather than individual and localised, achievement.