RFI for Core Scanning, Digital Platform, Data Integration, and Facility Modernization Solutions
Overview
Fit Score
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SUMMARY
KEY REQUIREMENTS
CONTRACT DURATION
TIMELINE
Issue Date of RFI: June 11th, 2026
Deadline for Questions: June 23rd, 2026
Deadline for Issuing Addenda: June 29th, 2026
Response Deadline: July 6th, 2026
QUESTION DEADLINE
CONTACTS
Primary procurement contact — name, title, email, and phone
Additional decision-makers and their departments
Issuing Agency
Dalhousie University
DESCRIPTION
This Request for Information (RFI) seeks vendors to provide core scanning, digital platform, data integration, and facility modernization solutions in support of a large-scale digitization initiative. The project aims to digitize approximately 700,000 metres of drill core, integrate associated historical datasets, and make this information accessible to the public through an open-access digital platform.
Key components include high-throughput, high-quality scanning of drill core, processing and integration of both legacy and new datasets, and the creation of a user-friendly web portal for geoscience data. Additionally, vendors are expected to propose efficient and cost-effective methods for modernizing core storage facilities and ensuring sustainable, long-term operations. Proposed solutions should include clear models for partnership and project delivery.
Interested parties are invited to submit their questions by June 23, 2026, prior to the final deadline.
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Frequently asked questions
- When is the submission deadline?
- Submissions are due July 6, 2026. Questions must be submitted by June 23, 2026.
- Who issued this RFP?
- It was issued by Dalhousie University. The work is located in Halifax, Nova Scotia, Canada.
- Who is a good fit for this opportunity?
- Proven experience in core scanning and geoscience data digitization
- Expertise in developing and maintaining digital platforms and data integration workflows
- Capacity for high-throughput, high-quality imaging and data processing
- Experience with facility modernization in geoscience or mining sectors
- Ability to support cost-effective, sustainable long-term operations
Analysis generated by Settle AI from the source RFP.
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