Research Data Platform (Python, Jupyter, PostgreSQL, Boto3, FastAPI, React) overview

A research data management platform that enables scientists to upload, catalog, analyze, and share datasets with reproducible computational notebooks. Jupyter provides the interactive analysis environment with custom kernels for Python, R, and Julia workloads. FastAPI serves the data catalog API with dataset versioning, DOI registration, and access control. PostgreSQL stores dataset metadata, user permissions, and experiment provenance graphs. Boto3 manages large dataset storage in cloud object storage with lifecycle archival policies. React powers the data catalog browser with search, preview, and collaboration features. The tradeoff is managing compute costs for large-scale notebook executions and enforcing reproducibility across diverse dependency environments.