PAASP’s ‘Data Quality’ workshop at the Heidelberg Biosciences International Graduate School (HBIGS)
Recognizing the lack of educational courses for students, postdocs and life scientists about ‘Good Research Practice’ in biomedical research, PAASP actively continues to offer short introductory lectures(2-4 hours), training courses and seminar series covering key aspects of data quality in biomedical research, including:
- How to recognize data likely to be irreproducible?
- How to generate reproducible data?
- What to learn from clinical study design standards?
- How to come up with meaningful sample size and statistical power calculations?
- How important is transparent record-keeping?
- How to analyze case studies and judge value of scientific publications?
Just recently, PAASP Partner Martin Michel led a two-day workshop at the Heidelberg Biosciences International Graduate School (HBIGS). The PAASP team designed the program “Coping with the Reproducibility Crisis”, which dealt with most major topics (see examples above) currently discussed in the context of the reproducibility crisis in biomedical research.