At Agri-food Data Canada hosted at the University of Guelph we are working with participants of the research data ecosystem to help create tools and training that will increase the value of research data.
We are guided by the FAIR data principles, that data should be Findable, Accessible, Interoperable, and Reusable. We are making it easier for researchers to apply the FAIR data principles to their research data, increasing the value for everyone in the sector.
Come talk to us! adc@uoguelph.ca
Research is essential for our future, but it can’t happen without the data that drives it. That’s why ADC is here—to support U of G faculty in their research and help them get the data they need to make discoveries.
One of Agri-food Data Canada’s goals is to ensure that our researchers create FAIR data. Data that is Findable, Accessible, Interoperable, and Reproducible.
A primary goal of ADC is to provide access to data collected at Ontario’s Agri-Food Research Centres. Data portals are being developed to improve the safety and storage of the large amounts of data generated at the research centres.
Visit the Semantic Engine todownload templates, and create your own machine-actionable data schemas.
What are we doing? Who are we working with? What technologies are we using? Follow along as we build Agri-food Data Canada.
Funding for Agri-food Data Canada is provided in part by the Canada First Research Excellence Fund
