Research Integrity

The course aims to provide doctoral students with a foundational understanding of research integrity, promoting awareness of ethical principles, good scientific practices, and responsible conduct across all stages of the research process.

Materials

Title Lecture
Lecture 1.pptx 1
[Required] The European code of conduct for research integrity.pdf 1
Publication bias or research misconduct?.html 1
[Required] Living guidelines on the responsible use of generative AI in research.pdf 1
Prime linee guida per l'utilizzo dei Sistemi di Intelligenza Artificiale.pdf 1
Here’s how Cornell scientist Brian Wansink turned shoddy data into viral studies about how we eat.html 1
Research misconduct: How the scientific community is fighting back.html 1
ChatGPT: Five priorities for research.pdf 1
Lecture 2.pptx 2
Reducing Fraud in Science.html 2
[Required] How To Properly Preregister A Study.html 2
Informed Consent Example.docx 2
Scientific publishers are reaping huge profits from the work of researchers and the universities are paying for it.html 2
Lecture 3.pptx 3
[Required] The FAIR Guiding Principles for scientific data management and stewardship.pdf 3
[Required] How the Contributor Role Taxonomy (CRediT) is helping the shift from authorship to contributorship.pdf 3