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Titlebook: Data Journeys in the Sciences; Sabina Leonelli,Niccolò Tempini Book‘‘‘‘‘‘‘‘ 2020 The Editor(s) (if applicable) and The Author(s) 2020 Big

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发表于 2025-3-21 16:53:06 | 显示全部楼层 |阅读模式
书目名称Data Journeys in the Sciences
编辑Sabina Leonelli,Niccolò Tempini
视频video
概述Facilitates an in-depth understanding of data-intensive methods.Is the most advanced survey of data practices across the sciences.Presents a ground-breaking and comprehensive framework for data studie
图书封面Titlebook: Data Journeys in the Sciences;  Sabina Leonelli,Niccolò Tempini Book‘‘‘‘‘‘‘‘ 2020 The Editor(s) (if applicable) and The Author(s) 2020 Big
描述.This groundbreaking, open access volume analyses and compares data practices across several fields through the analysis of specific cases of data journeys. It brings together leading scholars in the philosophy, history and social studies of science to achieve two goals: tracking the travel of data across different spaces, times and domains of research practice; and documenting how such journeys affect the use of data as evidence and the knowledge being produced. .The volume captures the opportunities, challenges and concerns involved in making data move from the sites in which they are originally produced to sites where they can be integrated with other data, analysed and re-used for a variety of purposes. The in-depth study of data journeys provides the necessary ground to examine disciplinary, geographical and historical differences and similarities in data management, processing and interpretation, thus identifying the key conditions of possibility for the widespread data sharing associated with Big and Open Data. .The chapters are ordered in sections that broadly correspond to different stages of the journeys of data, from their generation to the legitimisation of their use fo
出版日期Book‘‘‘‘‘‘‘‘ 2020
关键词Big Data; Data Epistemology; Data Ethics; Data Science; Epistemology of Science; Social Studies of Data; S
版次1
doihttps://doi.org/10.1007/978-3-030-37177-7
isbn_softcover978-3-030-37179-1
isbn_ebook978-3-030-37177-7
copyrightThe Editor(s) (if applicable) and The Author(s) 2020
The information of publication is updating

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Birgit Szczyrba,Timo van Treeckg place when research technology makes physical contact with the objects targeted in research endeavours shape the subsequent data journeys and the practices of creating scientific knowledge. The chapter is based on a case study of ecological monitoring in ocean sciences and zooms in on the practice
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Matthew L. Cole,Jacqueline M. Stavrosuse as evidence for claims about phenomena such as business cycles and gene-environment interactions. We focus on what we call “cleaning by clustering” procedures, and investigate the principles underpinning this kind of cleaning. These cases illustrate the epistemic significance of preparing data f
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Sarah M. Bestgen,Filomena Sabatellar of individual data series, each one in turn made up of a string of individual data points or datums. This group set forms the most important context for considering the travels of any single numerical datum. The purpose of this paper is to explore and explain how it is that different kinds of grou
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Coaching in der reflexiven Modernenetworks, and NDEx, a database that allows for the reuse of network representations. I begin with a brief review of the databases that have been developed for data involving, for example, protein-protein interactions, that are relational and hence productively represented in networks. Given the amou
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https://doi.org/10.1007/978-3-658-22677-0been called the “re-situation” of scientific knowledge (Morgan .). The kind of journey described elicits a missing concept—“data.-centric” biology—in the conversation around the emergence of “big data” and data-centric biology (Leonelli .) and its contrast, “traditional” or “small data” biology. I d
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