Research has a data problem. It is increasingly clear that there are issues with the robustness, rigor, and validity of research data. In the complex area of neuroscience, especially dementia, this exacerbates the challenge of translating results from the lab into humans and raises questions of scientific integrity.
Today, there are no comprehensive guiding principles governing data quality in pre-clinical neuroscience research. How can we develop practical tools and resources that are easy to apply across research settings? How can we encourage their uptake and use?
Here, diverse speakers will discuss efforts made worldwide to deliver tools and resources to improve the quality of research data in neuroscience.
International initiatives will increase data quality in preclinical studies; reduce research waste; improve patient safety; and build confidence between partners along the medical research and drug development pathway. Importantly, they will also boost public trust in research.

Ability Level: All

Session ID: 503503