SAMANDA
Save America Movement Analytics Network for Democratic Accountability
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Map
Validation dashboard
QC
Projects
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Architecture & workflow
source → repo → consumers · cleaning ≠ validation
SAM Reference-Data architecture and workflow
Architecture
Data
Source registries — canonical sources
Per-dataset inventory — URL, tier, cadence
Documentation — data dictionary, protocol
Reference-Data repository
Living store of cleaned, standardized,
analysis-ready data · SOURCE OF TRUTH
Data Storage (S3)
Every raw and cleaned file in S3,
one manifest per dataset
Dashboard
Visualize and export graphs,
tables, and reports on demand
Predictive Modeling
Quantify impact and predict
outcomes with ML models
Data Integration and Validation
Acquire
Pull each dataset straight from
its official primary source
Clean and Standardize
Clean formatting and align
to a common structure
Store and Catalog
Save to S3; log source and
history for traceability
after acquisition
after cleaning
Core Validation Battery — runs after acquisition and after cleaning
Quality Axis
Auto-check the file is complete
and internally consistent
Fidelity Axis
Re-pull from source; confirm
totals, counts, records match
Analysis-Ready Datasets
Validated and ready for use in
modeling, research, and media
Predictive Modeling
Forecast impact and outcomes with ML models
SAM Dashboard
Explore, visualize, and export data on demand
