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Scientific Integrity, Data handling and reporting

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CAEC Science
Nature of Science
2. Scientific Reliability
2.2 Scientific Integrity, Data handling and reporting

Scientific Integrity: Ethical Data Handling and Reporting in Science

Learners will explore the ethical principles that govern how scientists collect, handle, and report data and why honesty in research matters for all of science.


What You'll Learn

Scientific integrity demands honesty and transparency throughout every research stage.
Data fabrication, falsification, and plagiarism are serious violations of research ethics.
Reproducibility and peer review are cornerstones of valid, trustworthy scientific findings.
Disclosing conflicts of interest and funding sources protects scientific credibility always.

What You'll Practice

1

Students identify ethical violations like fabrication, falsification, and selective reporting.

2

Learners distinguish legitimate data exclusion from unethical data manipulation practices.

3

Questions test understanding of peer review, reproducibility, and informed consent concepts.

Why This Matters

Mastering scientific integrity ensures that research findings are trustworthy, reproducible, and genuinely beneficial to society and future scientific progress.

This Unit Includes

Practice exercises
Learning resources

Skills

Data Integrity
Peer Review
Research Ethics
Reproducibility
Scientific Reporting
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