This Solicitation opportunity from Government of Canada was posted on November 6, 2024. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

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Development of three (3) Technical Specifications (TS) and one (1) Technical Guide to provide standardization strategies to deploy the Data Sourcing Protocol for the National Index on Agri-Food Performance of Canada

Closed

2024-07International

Submission Closed11/06/2024, 04:00:00 PM UTC

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

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NAICS: 541618

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AI Contract Overview

The Standards Council of Canada is seeking proposals from qualified suppliers to develop three Technical Specifications and one Technical Guide aimed at establishing standardization strategies for the Data Sourcing Protocol of the National Index on Agri-Food Performance of Canada. This initiative supports the AI and Data Governance Program and aligns with the Canadian Data Governance Standardization Collaborative Roadmap to enhance the digital food supply chain framework. The project is a collaborative effort with the Centre for Agri-Food Benchmarking to ensure the Index remains relevant and useful through the implementation of repeatable and reproducible test methods. The selected supplier will be responsible for overseeing the development process and leading stakeholder consultations necessary for drafting the specifications. These deliverables will focus on improving data quality, data governance, and the overall assessment of the data sourcing protocol. This federal solicitation, identified by number 2024-07, is managed by the Standards Council of Canada and requires performance within Canada.

General Info

Supplier to develop technical specifications and guides for Canada's Agri-Food Performance data protocol.

Agency

Government of Canada → Standards Council of Canada

NAICS

541618 - Other Management Consulting Services

Place of Performance

*Canada, CAN

Set-Aside

NONE

Documents

No documents available

No documents were posted with this contract.

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Uniform Contract Format

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Timeline

PhaseClosed

PostedNov 6

Solicitation

Response DeadlineNov 6

Deadline has passed

Submission Closed

11/06/2024, 04:00:00 PM UTC

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Organization & Contact Information

AgencyGovernment of Canada → Standards Council of Canada

Contacts1 person available

OfficeN/A

Organization / Agency

Government of Canada → Standards Council of Canada

Office AddressN/A

Contacts

Camila Borges SuarezPoint of Contact

Full Description

This document represents an invitation to Bidders to submit their proposals to the Standards Council of Canada (SCC) to develop three (3) Technical Specifications (TS) and one (1) Technical Guide to provide standardization strategies to deploy the Data Sourcing Protocol for the National Index on Agri-Food Performance of Canada. The standardization strategies to be developed for the National Index on Agri-Food Performance (the Index) will contribute to SCC’s AI and Data Governance (AIDG) Program deliverables (of which Agriculture is key sector of focus) and will address some of the recommendations of the Canadian Data Governance Standardization Collaborative (DGSC) Roadmap on the needs for the digital food supply chain framework. The National Index on Agri-Food Performance entered a new phase with the launch of the Centre for Agri-Food Benchmarking (the Centre). The Centre, housed at the Canadian Agri-Food Policy Institute, accelerates and formalizes the work of the partners supporting the Index. The coalition recognized the need to develop standards to support the Index, improving therefore its relevance and utility. SCC in collaboration with the Centre for Agri-Food Benchmarking is seeking a Supplier to lead the development process oversight and lead the stakeholder consultations that will be used for drafting the Technical Specification. The standardization deliverables are intended to be test methods for the Centre, which provide repeatable and reproducible procedures with consistent outcomes for the assessment of the impact on the data sourcing protocol, data quality and data governance.