Initiative #31
Quality control of oceanographic data - Maritimes Region
Listed in the registry Pilot Original language : English
About the initiative
Description of the initiative
The goal of the project is to assist in the processing and quality control of CTD (oceanographic) data by leveraging machine learning models to predict quality flags for the CTD data products generated by Maritimes region, enabling faster data processing by reducing manual burden. Initial explorations have been conducted to investigate transferability of existing quality control models from Pacific region. Based on investigation results, new models will be trained specific to Maritimes region. Client: Maritimes Region - Ocean Data
AI family
Automation and Decision Support
- AI sub-category
- Predictive Analytics
- AI capability
- Scientific Data QA/QC, Validation, and Analysis
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Lifecycle
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Ideation
Stage status : Completed
May 26, 2025
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Assessment
Stage status : Completed
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Approved
Stage status : Completed
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Development
Stage status : Completed
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Pilot
Stage status : In progress
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Production
Stage status : Upcoming
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Archived
Stage status : Upcoming
Schedule for this initiative
- Completed
- In progress
- Planned
- Not applicable
- Today
- Ideation
A similar need?
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Contacts
- Requester
- Collister, David
- Sector contact
- Croft, Lee
- Subject matter expert
- Croft, Lee
Data and tools
- Sector
- Strategic Policy
- Region
- National Capital Region
- Submitted on
- May 26, 2025