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Working data together: The accountability and reflexivity of digital astronomical practice

机译:共同处理数据:数字天文学实践的问责制和反思性

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Drawing on ethnomethodology, this article considers the sequential work of astronomers who combine observations from telescopes at two observatories in making a data set for scientific analyses. By witnessing the induction of a graduate student into this work, it aims at revealing the backgrounded assumptions that enter it. I find that these researchers achieved a consistent data set by engaging diverse evidential contexts as contexts of accountability. Employing graphs that visualize data in conventional representational formats of observational astronomy, experienced practitioners held each other accountable by using an 'implicit cosmology', a shared (but sometimes negotiable) characterization of 'what the universe looks like' through these formats. They oriented to data as malleable, that is, as containing artifacts of the observing situation which are unspecified initially but can be defined and subsequently removed. Alternating between reducing data and deducing astronomical phenomena, they ascribed artifacts to local observing conditions or computational procedures, thus maintaining previously stabilized phenomena reflexively. As researchers in data-intensive sciences are often removed from the instruments that generated the data they use, this example demonstrates how scientists can achieve agreement by engaging stable 'global' data sets and diverse contexts of accountability, allowing them to bypass troubling features and limitations of data generators.
机译:利用民族方法论,本文考虑了天文学家的顺序工作,他们结合了两个天文台的望远镜观测结果,为科学分析提供了数据集。通过目睹一名研究生入选这项工作,它旨在揭示进入该工作的背景假设。我发现这些研究人员通过使用各种证据环境作为问责制环境,获得了一致的数据集。经验丰富的从业者使用图表以观测天文学的传统表示格式来可视化数据,从而通过使用“隐式宇宙学”(通过这些格式对“宇宙看起来”进行共享(但有时可商议)的表征)互相追究责任。它们将数据定向为可延展的,即包含观察情况的伪像,这些伪像最初并未指定,但可以定义并随后删除。在减少数据和推论天文现象之间交替进行,他们将伪像归因于局部观测条件或计算程序,从而反射性地维护了以前稳定的现象。由于经常将数据密集型科学的研究人员从生成其使用的数据的工具中删除,因此该示例说明了科学家如何通过使用稳定的“全球”数据集和不同的责任背景来达成共识,从而使他们绕过麻烦的功能和局限性数据生成器。

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