Chapter 19. Research Integrity and Misconduct

What is research misconduct? Commonly defined as fabrication (making up data), falsification (manipulating data or results) and plagiarism (using others’ ideas or words without credit). Other questionable practices include selective reporting, inappropriate authorship, duplicate publication, failure to disclose conflicts of interest and mistreatment of participants or collaborators [4][12].

Responsible conduct. The Singapore Statement emphasizes honesty, accountability, professional courtesy and good stewardship [4]. These principles apply whether you are a student, field assistant or professor.

Supervisor–student relationships. In hierarchical academic cultures, students may feel unable to challenge authority. Institutions should provide safe channels to raise concerns. Supervisors have a duty to guide, credit fairly and protect students from exploitation [4][14].

Plagiarism and academic writing. Plagiarism includes copying text, ideas, data and translations without acknowledgement, and self-plagiarism. Learn citation practice, paraphrase properly and use similarity-detection software as a learning tool, recognizing its limits.

Data integrity. Keep original data, document changes, store data securely and be able to show how conclusions were reached.

Conflicts of interest. Declare financial and non-financial interests, including funding from government, industry or other sponsors.

Handling concerns. If you suspect misconduct, consult your institution’s research integrity office, ombudsperson or ethics committee. Journals may follow COPE flowcharts. Protect whistleblowers and respect due process [12].

Cross-border collaboration. Different institutions and countries may define misconduct differently; agree in advance on the standards and procedures that will be applied. The Montreal Statement provides guidance on responsibilities in cross-boundary collaborations [5].

Institutional culture. Good institutions encourage open discussion of errors, replication, mentorship and responsible assessment of researchers [14].

Reflection: Which integrity risks (such as authorship disputes or data pressure) might affect your project, and how will you prevent them?