Overview
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 studies
Contains original contributions by world-leading science scholars in the respective fields
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Table of contents (21 chapters)
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Front Matter
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Origins: Data Collection, Preparation and Reporting
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Front Matter
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Clustering: Data Ordering and Visualization
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Front Matter
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Sharing: Data access, Dissemination and Quality Assessment
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Front Matter
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Interlude
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Front Matter
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Interpreting: Data Transformation, Analysis and Reuse
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Front Matter
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Keywords
- Big Data
- Data Epistemology
- Data Ethics
- Data Science
- Epistemology of Science
- Social Studies of Data
- Social Studies of Science
- Data Collection, Preparation and Reporting
- Data at the Large Hadron Collider
- Data Journeys in Medical Case Reports
- Data Ordering and Visualization
- Clustering Practices in Plant Phenomics
- Databases in Systems Biology
- Data access, Dissemination and Quality Assessment
- Methods for Climate Data Processing
- Data Journeys in Pharmaceutical Regulation
- Data Mixes in Big Data Linkage Practice
- Radiocarbon Dating and Robustness Reasoning in Archaeology
- Data from Objects to Assets
- Open Access
About this book
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 for specific purposes. Additionally, the preface to the volume provides a variety of alternative “roadmaps” aimed to serve the different interests and entry points of readers; and the introduction provides a substantive overview of what data journeys can teach about the methods and epistemology of research.
Editors and Affiliations
About the editors
Niccolò Tempini is Senior Lecturer in Data Studies at the University of Exeter and a Turing Fellow at the Alan Turing Institute. He researches big data research and digital infrastructures, investigating the specific knowledge production economies, organization forms and data management innovations that these projects engender with a focus in their social and epistemic consequences. His research has been published in international journals across science and technology studies, information systems, sociology and philosophy.
Bibliographic Information
Book Title: Data Journeys in the Sciences
Editors: Sabina Leonelli, Niccolò Tempini
DOI: https://doi.org/10.1007/978-3-030-37177-7
Publisher: Springer Cham
eBook Packages: Religion and Philosophy, Philosophy and Religion (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s) 2020
License: CC BY
Hardcover ISBN: 978-3-030-37176-0Published: 30 June 2020
Softcover ISBN: 978-3-030-37179-1Published: 18 September 2020
eBook ISBN: 978-3-030-37177-7Published: 29 June 2020
Edition Number: 1
Number of Pages: XVII, 412
Number of Illustrations: 14 b/w illustrations, 25 illustrations in colour
Topics: Philosophy of Science, History of Science, Science, Humanities and Social Sciences, multidisciplinary