DATA QUALITY IN PRECLINICAL RESEARCH AND DEVELOPMENT

Programme: Horizon2020
Deadline: 2016-07-26
Tags: Regional Development
Technological Development and Innovation
Research
Horizon2020
call

DESCRIPTION

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.

Suggested calls:

Horizon2020

New sources of proteins for animal feed from co-products to address the EU protein gap

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...

View Details


Horizon2020

 Towards a science-based regionalisation of the Common Fisheries Policy

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"[1] interests as a b...

View Details


View more calls

Leave a comment to find project partners for this call: