Agri-food Data Canada (ADC) enables data owners, trustees and stewards to migrate their research data into the Cloud Data Lake and Data Warehousing to enable virtualization and a secure environment.
Agri-food Data Canada strives for seamless sharing of data and information using state-of-the-art data standards, security, and governance.
This data storage offers several benefits, including the following:
Deposit your data in the original format without needing to remodel the data.
Exploring data for analytics
Access your data for visualization and machine learning tools to enhance analytical insights and flexibility. This allows you to ask questions and seek deeper answers.
Access and security
Store your active data securely in a single repository to reduce redundancy and increase security. Share it only with approved users.
Agri-food Data Canada also provides a platform for researchers to perform data analytics. Data analytics and predictive analytics may involve numerous statistical abilities such as modelling, machine learning, and data mining. These methods allow researchers to analyze past and real-time data. Researchers may use the data to predict research outcomes and to make decisions that impact the bottom line.
Agri-food Data Canada provides predictive analytical tools for researchers to increase opportunities and efficiencies across research projects and to draw conclusions from digital information.
Researchers have many choices about where they deposit their data. Agri-food Data Canada supports active data, but valuable data should be deposited in a repository for long-term access and availability at the end of the project life cycle. Initially, ADC will integrate with the University of Guelph’s Agri-environmental Research Data Repository a University-hosted Dataverse-based repository for agri-environmental data.