Table of contents

  1. Front Matter
    Pages i-xvii
  2. Sabina Leonelli
    Pages 1-24 Open Access
  3. Origins: Data Collection, Preparation and Reporting

  4. Clustering: Data Ordering and Visualization

  5. Sharing: Data access, Dissemination and Quality Assessment

  6. Interlude

    1. Front Matter
      Pages 227-227
    2. Theodore M. Porter
      Pages 229-236 Open Access
  7. Interpreting: Data Transformation, Analysis and Reuse

  8. Ends: Data Actionability and Accountability

    1. Front Matter
      Pages 303-303
    2. Alberto Cambrosio, Jonah Campbell, Etienne Vignola-Gagné, Peter Keating, Bertrand R. Jordan, Pascale Bourret
      Pages 305-327 Open Access
  9. Afterword

    1. Front Matter
      Pages 389-389
    2. Helen E. Longino
      Pages 391-399 Open Access
    3. Niccolò Tempini
      Pages 401-404 Open Access
  10. Back Matter
    Pages 405-412

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.


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

Editors and affiliations

  • Sabina Leonelli
    • 1
  • Niccolò Tempini
    • 2
  1. 1.Department of Sociology, Philosophy and Anthropology & Exeter Centre for the Study of the Life Sciences (Egenis)University of Exeter, Exeter, UK, Alan Turing InstituteLondonUK
  2. 2.Department of Sociology, Philosophy and Anthropology & Exeter Centre for the Study of the Life Sciences (Egenis)University of Exeter, Exeter, UK, Alan Turing InstituteLondonUK

Bibliographic information

  • DOI
  • Copyright Information The Editor(s) (if applicable) and The Author(s) 2020
  • License CC BY
  • Publisher Name Springer, Cham
  • eBook Packages Religion and Philosophy
  • Print ISBN 978-3-030-37176-0
  • Online ISBN 978-3-030-37177-7
  • Buy this book on publisher's site