Login / Signup

Research misconduct and questionable research practices form a continuum.

Lex M Bouter
Published in: Accountability in research (2023)
Research data mismanagement (RDMM) is a serious threat to accountability, reproducibility, and re-use of data. In a recent article in this journal, it was argued that RDMM can take two forms: intentional research misconduct or unintentional questionable research practice (QRP). I disagree because the scale for severity of consequences of research misbehavior is not bimodal. Furthermore, intentionality is difficult to prove beyond doubt and is only one of many criteria that should be taken into account when deciding on the severity of a breach of research integrity and whether a sanction is justified. Making a distinction between RDMM that is research misconduct and RDMM which not puts too much emphasis on intentionality and sanctioning. The focus should rather be on improving data management practices by preventive actions, in which research institutions should take a leading role.
Keyphrases
  • primary care
  • electronic health record
  • healthcare
  • big data
  • machine learning
  • data analysis
  • deep learning