Context
Academic research environments managing complex experimental data.
Problem
Manual data tracking limited reproducibility and analysis depth.
Constraints
Systems needed to align with formal research protocols and grant requirements.
Scope
Research technologist responsible for data capture and analysis tooling.
Strategy
Digitize experimental data capture and enable structured analysis.
Architecture
Developed a custom database and workflows for recording and analyzing research data.
Impact
Improved data accuracy, reproducibility, and publication readiness.
Effects
Enabled more rigorous analysis and supported successful grant work.
Artifacts
Research data schema
Available upon request
Analysis and reporting workflows
Available upon request
Key Insights
Good data systems are foundational to credible research outcomes.