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From The Embassy of Good Science

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  1. Discipline specific codes and guidelines on research integrity
  2. Monitoring funding processes
  3. Data management plans
  4. The learning curve - theatre play #MeTooAcademia
  5. P-value hacking
  6. Conflict of interests
  7. The influence of pharmaceutical company on drug availability
  8. Science policy
  9. Consent and Assent for Research on Children
  10. Poor mentoring or supervision of early career researcherers
  11. Networks and projects promoting research integrity
  12. Sponsorship of drug and device studies by the manufacturing company
  13. Collaborative working
  14. Superb Supervision: integrity training for supervisors
  15. H-index
  16. (re)submitting without consent of all authors
  17. Not acknowledging contributors who do not qualify for authorship
  18. Communicate results to the general public before a peer reviewed publication is available
  19. Journal Impact Factor
  20. Outcome reporting bias
  21. Replicability
  22. Research with children
  23. Spin of research results
  24. Ethical issues of involving children with disabilities in research
  25. Standards of authorship
  26. Research metrics
  27. Research integrity training for diverse disciplines
  28. Questionable Research Practices in Collaboration
  29. High income and low- and middle-income country collaborations
  30. Questionable research practices & research misbehaviors
  31. Improper data use (a bias distorting research results)
  32. Affiliations
  33. Responsible mentoring
  34. Being grossly unfair to your collaborators
  35. Research Integrity Advisors
  36. Post-publication peer review
  37. Take no full responsibility for the integrity of the research project and its reports
  38. Funders
  39. Salami publication
  40. Plan S
  41. Research ethics committees
  42. Research ethics committee members' skills
  43. Connecting researchers through ORCID
  44. Publishers - COPE guidelines
  45. "Met de billen bloot" (airing your dirty laundry)
  46. Confidentiality
  47. Questionable Research Practices in Data Collection
  48. Theme:A22bd155-7f88-4750-aa9c-cba9ad72cbec
  49. AI Generated Content
  50. The Hong Kong Principles for assessing researchers: Fostering research integrity
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