TY  - BOOK
AU  - Leonelli,Sabina
AU  - Leonelli,Sabina
AU  - Tempini,Niccol
AU  - Tempini,Niccol
TI  - Data Journeys in the Sciences
SN  - 978-3-030-37177-7
PY  - 2020///
PB  - Springer Nature
KW  - History of science
KW  - bicssc
KW  - Interdisciplinary studies
KW  - Philosophy of science
KW  - Big Data
KW  - Clustering Practices in Plant Phenomics
KW  - Data access, Dissemination and Quality Assessment
KW  - Data at the Large Hadron Collider
KW  - Data Collection, Preparation and Reporting
KW  - Data Epistemology
KW  - Data Ethics
KW  - Data from Objects to Assets
KW  - Data Journeys in Medical Case Reports
KW  - Data Journeys in Pharmaceutical Regulation
KW  - Data Mixes in Big Data Linkage Practice
KW  - Data Ordering and Visualization
KW  - Data Science
KW  - Databases in Systems Biology
KW  - Epistemology of Science
KW  - History of Science
KW  - Humanities and Social Sciences
KW  - Methods for Climate Data Processing
KW  - Open Access
KW  - Philosophy of Science
KW  - Radiocarbon Dating and Robustness Reasoning in Archaeology
KW  - Science, Humanities and Social Sciences, multidisciplinary
KW  - Social Studies of Data
KW  - Social Studies of Science
N1  - Open Access
N2  - 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
UR  - https://library.oapen.org/bitstream/id/d1d1865b-d745-4082-83b3-fdc13d56fb71/2020_Book_DataJourneysInTheSciences.pdf
UR  - https://library.oapen.org/handle/20.500.12657/39987
ER  -