DATA QUALITY IN PRECLINICAL RESEARCH AND DEVELOPMENT
Technological Development and Innovation
Reproducibility and relevance of research findings represent the pillars of the scientific method. For drug development, robust data and scientific rigor are key drivers for decision making, determining patent strength, time-to-market and consequently availability of new treatments to patients. Substantial evidence has accumulated that robustness, rigor and validity of research data can be problematic. While the issues at hand concern all areas of Research & Development, the impact of unreliable data, as well as the potential benefit of intervention, is greatest in areas already facing additional challenges, such as Neuroscience.
Demonstrate the techno-economic viability of the sustainable, cost-efficient and consistent conversion and upgrading of industry side-streams via biorefinery into suitable quality protein products, en...
Future approaches to fisheries management must take much closer account of regional fisheries practices, the specificities of regional ecosystems, and of the diverse "multi-actor" interests as a b...