Practical Software Tools for Federated Science

Problem:

Researchers spend 40–60% of their time searching for datasets across 13 provincial and federal systems

Solution:

Unified search API across all Canadian scientific repositories with FAIR metadata and OCAP compliance

Impact:

Data discovery time reduced from weeks to minutes

Problem:

Cross-provincial research requires 6+ months of legal paperwork and manual compliance checks

Solution:

Automated governance framework with legal compliance built-in (PIPEDA, provincial health acts, OCAP)

Impact:

Cross-provincial projects go from 6 months bureaucracy to 2-week digital workflow

Problem:

Students wait weeks for campus clusters while national resources sit at 60% utilization; startups can't afford AWS ($3/GPU-hour) but can't access Alliance resources

Solution:

Unified gateway and intelligent dispatcher for all Digital Research Alliance resources: automatic routing based on queue times, data locality, and carbon footprint

Impact:

National cluster utilization increases from 60% to 80% ($50M value/year); startups access HPC at $1/GPU-hour; students get same access as professors

Problem:

Cross-provincial research requires moving sensitive data (violating sovereignty)

Solution:

Run computation where data lives: complements Computome for federated research workflows

Impact:

Enables analysis combining BC health data + Alberta climate models + NWT field data in one job without data movement

Problem:

No existing platform automates Indigenous data governance (OCAP) at scale

Solution:

Machine-readable consent policies with blockchain-based immutable records and community control portals

Impact:

World's first platform to automate OCAP at scale: competitive advantage vs. Genesis

Problem:

Cancer genomics and health research requires centralizing sensitive patient data (unacceptable for provinces)

Solution:

Federated learning + secure multi-party computation: analyze without seeing raw data

Impact:

Enables research on 10M patient records with zero data centralization

Problem:

Complexity barrier: researchers need simple tools, not DevOps expertise

Solution:

5 lines of code API for 80% of use cases with automatic authentication and compliance

Impact:

Researchers can use NORAI immediately without training

Problem:

Researchers reinvent analysis pipelines instead of reusing validated methods

Solution:

Registry of validated, reproducible workflows with one-click deployment and automatic citation

Impact:

1,200+ workflow runs saving thousands of researcher hours