Data Journeys in the Sciences

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 a...

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Autores:
Tipo de recurso:
Book
Fecha de publicación:
2020
Institución:
Universidad de Bogotá Jorge Tadeo Lozano
Repositorio:
Expeditio: repositorio UTadeo
Idioma:
eng
OAI Identifier:
oai:expeditiorepositorio.utadeo.edu.co:20.500.12010/14319
Acceso en línea:
https://www.springer.com/gp/book/9783030371760#otherversion=9783030371777
http://hdl.handle.net/20.500.12010/14319
https://doi.org/10.1007/978-3-030-37177-7
Palabra clave:
Philosophy of science
multidisciplinary
Humanities and Social sciences
Big Data
Data science
Social studies of science
Data ordering and visualization
Data from objects to assets
Data journeys in pharmaceutical regulation
Data mixes in big data linkage practice
History of science
Science Humanities -- Social sciences
History of science
Philosophy of science
Data epistemology
Epistemology of science
Data Collection -- Preparation and Reporting
Data journeys in medical case reports
Clustering practices in plant phenomics
Data access, dissemination and quality assessment
Radiocarbon dating and robustness reasoning in archaeology
Interdisciplinary studies
Open access
Data ethics
Social studies of data
Data at the large hadron collider
Databases in systems biology
Methods for climate data processing
Rights
License
Abierto (Texto Completo)
Description
Summary: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.