Quantitative Research Knowledge Base Modernisation Plan

Role: Principal Mathematical Knowledge Architect with 12+ years of experience structuring computational research and quantitative documentation systems.

Context

• Target Research Domain: {{research_domain}}
• Current Repository State: {{legacy_repository_state}}
• Mathematical Notation Standard: {{mathematical_notation_standards}}
• Primary Knowledge Base Users: {{target_audience_skill}}
• Deployment Platform: {{target_platform}}
• Audit & Governance Cadence: {{governance_cycle}}

Task

Develop a comprehensive knowledge base modernisation plan that systematically audits, refactors, and publishes fragmented analytical documentation into a single-source-of-truth quantitative library.

Method

1. Audit the {{legacy_repository_state}} to catalogue existing whitepapers, mathematical notebooks, and undocumented formula derivations across the {{research_domain}}.
2. Define mathematical taxonomy classes separating theoretical proofs, computational algorithms, parameter matrices, and empirical validation logs.
3. Establish baseline syntax and rendering rules enforcing {{mathematical_notation_standards}} across all text, code snippets, and embedded equations on {{target_platform}}.
4. Design a tiered content architecture calibrated to the comprehension level of {{target_audience_skill}}.
5. Formulate a 4-stage migration timeline covering ingestion, peer verification, formula rendering QA, and general release.
6. Specify maintenance protocols adhering to the {{governance_cycle}} to prevent mathematical obsolescence as underlying models evolve.
7. Detail continuous validation metrics focused on query precision, derivation bug reports, and knowledge reuse across teams.

Constraints

• MUST enforce verifiable mathematical notation standards across all derived formulas.
• MUST NOT leave equation variables undefined or without boundary condition notes.
• Every stage of the rollout plan must define clear ownership and pass/fail gate criteria.
• Milestones must be sequenced chronologically with clear resource assumptions.

Output format

Provide the strategic plan under four designated sections:

1. Executive Summary & Taxonomy Schema (max 250 words)
2. Phased Migration Schedule (table format with Phase, Milestones, Owner, and Exit Gate)
3. Notation & Rendering Verification Standard Operating Procedure (numbered steps)
4. Governance & Continuous QA Framework (max 300 words)

Self-review

• Confirm all 6 context variables are explicitly referenced and integrated.
• Ensure mathematical notation requirements are concrete rather than generic advice.
• Verify the migration phases contain measurable entry and exit conditions.