Research Ethics, Academic Integrity & COPE Standards
Ethical Conduct in Science, Arts & Humanities, Informed Consent & Plagiarism
Comprehensive framework for ethical research: human subjects protection, informed consent, institutional review boards (IRB), preventing plagiarism, fabrication, falsification, and data ethics.
1. Foundational Concepts & Core Principles
Ethical foundations of humanistic and scientific research
Rigorous academic inquiry requires precise delimitation of this principle to ensure internal consistency, falsifiability, and methodological replicability.
Informed consent, confidentiality, and protection of vulnerable subjects
Rigorous academic inquiry requires precise delimitation of this principle to ensure internal consistency, falsifiability, and methodological replicability.
Research misconduct definitions: Fabrication, Falsification, and Plagiarism (FFP)
Rigorous academic inquiry requires precise delimitation of this principle to ensure internal consistency, falsifiability, and methodological replicability.
Authorship ethics: Contributorship criteria, gift/ghost authorship, conflict of interest
Rigorous academic inquiry requires precise delimitation of this principle to ensure internal consistency, falsifiability, and methodological replicability.
COPE (Committee on Publication Ethics) guidelines for peer review and editorial integrity
Rigorous academic inquiry requires precise delimitation of this principle to ensure internal consistency, falsifiability, and methodological replicability.
2. Methodological Comparison & Trade-offs
Voluntary agreement by participant based on full disclosure of risks and purpose.
Maintaining authentic, unmanipulated records of all observations and experiments.
Adhering to international publishing standards for transparency and accountability.
3. Practical Guidelines & Common Methodological Pitfalls
- Explicitly state operational definitions before measurement.
- Acknowledge potential confounders and data limitations in the methodology section.
- Pre-register hypothesis and statistical tests when conducting quantitative trials.
- Provide full provenance for historical, epigraphical, and archival texts.
- Confusing statistical correlation with causal determination.
- Using non-probability convenience samples to claim population generalizations.
- Failing to report negative results or unexpected anomalies.
- Relying on unverified secondary citations without reading the primary source.