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  1. Qualitative research
  2. Virtues in research integrity
  3. Privacy in research
  4. Inappropriate authorship
  5. Grading the quality of evidence in clinical practice guidelines
  6. Research Integrity champions
  7. Selective citation
  8. The decision on ice
  9. Insufficiently reported study flaws and limitations
  10. Faking it in academia- the rise of authorship fraud
  11. Prospective registration of clinical trials
  12. Fabrication
  13. The impact of the GDPR on scientific data
  14. The Rise of Octopus Affiliation: Navigating Multiple Institutional Associations in Academic Publishing
  15. Dialogue versus debate
  16. Initiatives promoting research integrity
  17. Dutch National Survey on Research Integrity
  18. Collaboration In Research
  19. Discipline specific codes and guidelines on research integrity
  20. Monitoring funding processes
  21. Data management plans
  22. The learning curve - theatre play #MeTooAcademia
  23. P-value hacking
  24. Conflict of interests
  25. The influence of pharmaceutical company on drug availability
  26. Science policy
  27. Consent and Assent for Research on Children
  28. Poor mentoring or supervision of early career researcherers
  29. Networks and projects promoting research integrity
  30. Sponsorship of drug and device studies by the manufacturing company
  31. Collaborative working
  32. Superb Supervision: integrity training for supervisors
  33. H-index
  34. (re)submitting without consent of all authors
  35. Not acknowledging contributors who do not qualify for authorship
  36. Communicate results to the general public before a peer reviewed publication is available
  37. Journal Impact Factor
  38. Outcome reporting bias
  39. Replicability
  40. Research with children
  41. Spin of research results
  42. Ethical issues of involving children with disabilities in research
  43. Standards of authorship
  44. Research metrics
  45. Research integrity training for diverse disciplines
  46. Questionable Research Practices in Collaboration
  47. High income and low- and middle-income country collaborations
  48. Questionable research practices & research misbehaviors
  49. Improper data use (a bias distorting research results)
  50. Affiliations
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The EnTIRE and VIRT2UE projects have received funding from the European Union’s Horizon 2020 research programme under grant agreements N 741782 and N 787580.

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