Data Journeys in the Sciences

Preface: A Roadmap for Readers.- Chapter 1. Learning from Data Journeys (Sabina Leonelli).- Part I: Origins: Data Collection, Preparation and Reporting.- Chapter 2. Material Origins of a Data Journey in Ocean Science: How Sampling and Scaffolding Shape Data Practices (G Halfmann).- Chapter 3. What Data Get to Travel in High Energy Physics? The Construction of Data at the Large Hadron Collider (K Karaca).- Chapter 4. Tracing Data Journeys Through Medical Case Reports: Conceptualizing Case Reports Not as "Anecdotes" but Productive Epistemic Constructs, or Why Zebras Can Be Useful (R Ankeny).- Part II: Clustering: Data Ordering and Visualization.- Chapter 5. From Dirty Data to Tidy Facts: Clustering Practices in Plant Phenomics and Business Cycle Analysis (M Boumans and S Leonelli).- Chapter 6. The Datum in Context: Measuring Frameworks, Data Series and the Journeys of Individual Datums (M Morgan).- Chapter 7. Data Journeys Beyond Databases in Systems Biology: Cytoscape and NDEx (W Bechtel).- Chapter 8. A Data Journey through Dataset-Centric Population Genomics (J Griesemer).- Part III: Sharing: Data access, Dissemination and Quality Assessment.- Chapter 9. Sharing Data, Repairing Practices: On the Reflexivity of Astronomical Data Journeys (G Hoeppe).- Chapter 10. Evaluating Data Journeys: Climategate, Synthetic Data and the Benchmarking of Methods for Climate Data Processing (W Parker).- Chapter 11. The Babel of Drugs: on the Consequences of Evidential Pluralism in Pharmaceutical Regulation and Regulatory Data Journeys (N Tempini and D Teira).- Part IV: Interlude.- Chapter 12. Most Often, What Is Transmitted is Transformed (T Porter).- Part V: Interpreting: Data Transformation, Analysis and Reuse.- Chapter 13. The Reuse of Digital Computer Data: Transformation, Recombination and Generation of Data Mixes in Big Data Science (N Tempini).- Chapter 14. Data, Meta Data and Pattern Data: How Franz Boas Mobilized Anthropometric Data, 1890 and Beyond (S Müller-Wille).-

Sabina Leonelli is Professor in Philosophy and History of Science at the University of Exeter, where she co-directs the Centre for the Study of the Life Sciences and leads the data governance strand of the Institute for Data Science and Artificial Intelligence. Her interests include the epistemology, history and social studies of data-intensive science, open science and biological modelling. She is a Turing Fellow, ERC grantee, Editor-in-Chief of History and Philosophy of the Life Sciences, Associate Editor of the Harvard Data Science Review.
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 publishedin international journals across science and technology studies, information systems, sociology and philosophy.