Electronic Resource

Data Journeys in the Sciences

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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.

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Availability

Detail Information

Series Title

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Call Number

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Publisher

: Springer Cham., 2020

Collation

XVII, 412 hlm; ill., lamp.,

Language

ISBN/ISSN

9783030371777

Classification

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Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

1

Subject(s)

Science
History of Science
Philosophy of Science
Humanities and Social Sciences

multidisciplinary

Specific Detail Info

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

Statement of Responsibility

Sabina Leonelli, Niccolò Tempini

Other Information

Cataloger

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Source

https://link.springer.com/book/10.1007/978-3-030-37177-7

Validator

ida

Digital Object Identifier (DOI)

https://doi.org/10.1007/978-3-030-37177-7

Journal Volume

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Journal Issue

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Subtitle

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Parallel Title

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