Pharmaceutical industry, as well as basic science, depend on robust data and scientific rigor for decision making, patent strength and time-to-market for novel patient treatment options. Recent publications challenge the quality of research data, which may impact translationability and predictability of preclinical models. There is a need for simple, sustainable solutions that facilitate data quality.
The objectives of EQIPD are to:
- enable the development of quality criteria for future preclinical tests
- develop consensus quality management recommendations in non-regulated R&D to enhance the quality of decisions made based on experimental, exploratory or hypothesis-testing data
- develop an educational course on scientific quality principles which catalysis the cultural change needed to enhance quality value and sustainability of the findings of preclinical research.