Our lab is dedicated to the Findable, Accessible, Interoperable, Reusable (FAIR) data guiding principles. We believe that by increasing transparency and accessibility of research data, that discovery and innovation can be accelerated to solve the most challenging problems related to human health and toxicity of environmental contaminants.
DATA COMMONS (UNDER CONSTRUCTION)
Our team are leaders in major efforts to establish robust (meta)data commons for the management and sharing of basic research data related to toxicology as part of the MSU Superfund Research Center, and cardiovascular research as part of the perivascular adipose tissue program grant.
TOXICOLOGY DATA COMMONS (ToxDC)
PVAT COMMONS (UNDER CONSTRUCTION)
OTHER RESOURCES (UNDER CONSTRUCTION)
We are constantly developing new resources to support data sharing and management.
Github
FAIRsharing