Funding for Agri-food Data Canada is provided in part by the Canada First Research Excellence Fund
Try it now at: RED-X.
We can’t overstate how valuable historical research data really is. Whether it’s spotting long-term trends in agriculture through integrated datasets or helping shape better policy decisions, having access to past research matters. More importantly, when that data is well-organized and easy to explore, it opens the door for meaningful research, stronger collaborations, and the use of modern tools like AI and machine learning to drive innovation. That’s why at Agri-food Data Canada (ADC) , we are committed to making historical data easier to access, understand, and use for everyone.
Version 1.0 of the RED-X app was introduced in August 2024 and focused on showcasing historical research data from departments within Ontario Agricultural Colleges. It offered a user-friendly interface for exploring networks among research keywords and authors, access to structured metadata and raw datasets. It laid the groundwork for more accessible and collaborative research discovery.
Now, RED-X 2.0 brings an improved experience — faster performance, broader institutional coverage, and a more intuitive user interface. This upgraded version empowers users to explore research across multiple colleges and departments within the Agri-environmental Research Data dataverse in Borealis (Canadian Dataverse Repository), with smarter filters and richer network visualizations that highlight connections between keywords and authors.
This app is designed for anyone interested in exploring historical research data — whether you are a researcher, undergraduate student, graduate student, postdoc, farmer, scientist, policy maker, or simply someone curious about historical data. RED-X provides an accessible way to explore past research and uncover new insights. Try it now at: RED-X.
We’re excited to share this project with you. Try it out and let us know what you think, or if you run into any issues along the way. We’re looking forward to refining and improving RED-X even further but for now, enjoy exploring re-usable data!
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