Transversal Challenges
Science Communication
Peer Review
23-T09
May 23rd 2023
COURSE COORDINATORS
João Subtil (MD, PhD) ,
Helena Donato (MLS, MSIS)
COURSE PRESENTATION
Peer reviewing is the ground on which is built scientific communication credibility and relies on reviewers’ knowledge and experience on publishing. However, most reviewers must learn how to help authors increase the value of their submitted papers, and how to increase their journal’s credibility, by identifying flaws (and correcting them when possible), some minor, like biases, or writing / copying mistakes, statistical errors, or slicing, and some more serious, like fraud, conflicts of interest, plagiarism, or false claims.
In this course we’re teaching all the tools a reviewer must master:
This course is helpful to both reviewers and writers, for these teaching will also help the author anticipate the critics and be proactive and produce a better manuscript before submission.
In this course we’re teaching all the tools a reviewer must master:
- general work (check for compliance with journals’ instructions for authors, orthography general quality, general relevance and acceptability, ethical compliance);
- tools to exclude plagiarism, data manipulation, photo or picture misuse or tampering
- evaluation of statistical analysis quality
- exclude biases and common mistakes
This course is helpful to both reviewers and writers, for these teaching will also help the author anticipate the critics and be proactive and produce a better manuscript before submission.
TARGET AUDIENCE
Medical Doctors, Nurses, Investigators, and other health professionals
LEARNING OBJECTIVES >> KNOWLEDGE AND SKILLS TO DEVELOP
- Evaluate general text quality
- Check for compliance with journals’ instructions for authors
- Master tools for orthography general quality
- Evaluate general relevance and acceptability
- Know how to recognize ethical compliance
- Master tools to exclude plagiarism
- Master tools to identify data manipulation
- Use tools to spot photo or picture misuse or tampering
- Evaluation of statistical analysis quality
- Exclude biases and common mistakes
- How to write the review, to avoid own mistakes and biases, and to be positive and help the author to publish the paper
- Use reviewer recognition tools
ADMISSION CRITERIA
CV