All Stories

  1. Investigating research practices: How qualitative methods enhance philosophical understandings of science.
  2. How Does One Open Science?
  3. Analysis of what happens with data that are not readily available, missing, unusable
  4. Locating ethics in data science: responsibility and accountability in global and distributed knowledge production systems
  5. Open data: curation is under-resourced
  6. The disruptive potential of data publication
  7. How Do Scientists Define Openness? Exploring the Relationship Between Open Science Policies and Research Practice
  8. Exhibition: Live by data, die by data
  9. What Counts as Scientific Data? A Relational Framework
  10. Human Genome Project, Personalised Medicine and Future Health Care
  11. Repertoires: How to Transform a Project into a Research Community
  12. Sticksandcarrots: encouraging open science at its source
  13. Life out of sequence: a data-driven history of bioinformatics
  14. Data Interpretation in the Digital Age
  15. Making Organisms Model Human Behavior: Situated Models in North-American Alcohol Research, since 1950
  16. What difference does quantity make? On the epistemology of Big Data in biology
  17. What makes a model organism?
  18. Global data for local science: Assessing the scale of data infrastructures in biological and biomedical research
  19. Bigger, faster, better? Rhetorics and practices of large-scale research in contemporary bioscience
  20. Introduction: Biomedical Trans-actions, Postgenomics, and Knowledge/Value
  21. Joseph November, Biomedical Computing: Digitizing Life in the United States
  22. Model Organism
  23. Stock Center
  24. Founders Effect
  25. Community Database
  26. Curation
  27. Bio-Ontologies
  28. Data-Intensive Research
  29. Metadata
  30. Classificatory Theory in Biology
  31. Classificatory Theory in Data-intensive Science: The Case of Open Biomedical Ontologies
  32. An Epistemology of the Concrete: Twentieth-Century Histories of Life
  33. Bioethics Authorship in Context: How Trends in Biomedicine Challenge Bioethics
  34. What’s so special about model organisms?
  35. How the gene ontology evolves
  36. The scientific importance of asking questions at meetings: Why virtual debate is not enough
  37. Sustainable digital infrastructure
  38. On the Locality of Data and Claims about Phenomena
  39. An HPSSB (history, philosophy and social science of biology) approach to biomedical ontologies
  40. The Role of Bio-Ontologies in Data-Driven Research: A Philosophical Perspective
  41. The Role of Bio-Ontologies in Data-Driven Research: A Philosophical Perspective
  42. Bio-ontologies as Tools for Integration in Biology
  43. Performing abstraction: two ways of modelling Arabidopsis thaliana
  44. Arabidopsis, the botanical Drosophila: from mouse cress to model organism
  45. Infrared metaphysics: radiation and theory-choice. Part 2
  46. Infrared metaphysics: the elusive ontology of radiation. Part 1
  47. Symposium Issue: Philosophy of Biology in Flanders and The Netherlands
  48. Valuing Data in Postgenomic Biology