CANARIE supports a CRIM project to facilitate data management for Canadian AI researchers!

CANARIE supports a CRIM project to facilitate data management for Canadian AI researchers!

Published November 27, 2018

CANARIE supports a CRIM project to facilitate data management for Canadian AI researchers!

CANARIE, a vital component of Canada’s digital infrastructure supporting research, education and innovation, today announced nine successful recipients of its Research Data Management (RDM) funding call, announced in May 2018. This new funding will enable research teams to develop software components and tools to enable Canadian researchers to adopt best practices in managing data resulting from scientific research.

CRIM is proud to have obtained support from CANARIE to realize the FRACS project, which will make it easier for the various communities of Canadian AI researchers to share their data and annotations in order to foster innovation and collaboration! This project will be led by André Lapointe, R&D Director at CRIM.

FAIR Repository for Annotations, Corpora and Schemas (FRACS) led by André Lapointe, CRIM

Artificial intelligence-based applications require access to massive quantities of data. To enable Canada’s academic researchers to scale their AI-based projects such that they are competitive with private sector applications, large volumes of data must be coupled with detailed annotations. Annotated datasets allow models to be effectively trained and validated by machine learning algorithms.

The FRACS project will simplify the management of largescale datasets by facilitating the creation, storage, search, manipulation and sharing of their annotations.

Read the FRACS white paper

All the tools developed by CRIM can be found on CANARIE's Research Software Portal at science.canarie.ca.

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