Source fidelity
Original files, documentation, retrieval context, and SHA-256 hashes remain linked to every release.
Praxis Data Lab · NHANES Collection
Discover, inspect, and obtain research datasets with their provenance, survey design, documentation, and preparation decisions intact.
Independent from CDC/NCHS · Built for researchers, analysts, and public institutions
Praxis intelligence status
Praxis monitors CDC/NCHS sources every hour for changes. The latest validated intelligence is available and ready to use.
Praxis continuously monitors CDC/NCHS source indexes for changes. Source surveillance runs hourly, while the validated intelligence corpus is refreshed every Monday at 00:00 UTC and whenever a confirmed source update requires rebuilding. Published intelligence remains tied to the most recently validated release. Headline counts reflect that validated harmonization release and may change as source coverage and scientific validation improve. Times are shown in your local timezone. Current indexed harmonization coverage begins with Continuous NHANES in 1999; earlier NHES and periodic NHANES I–III historical surveys are not yet included in this corpus.
The Praxis standard
We reduce repetitive preparation work while keeping the source, transformations, limitations, and statistical responsibilities visible.
Original files, documentation, retrieval context, and SHA-256 hashes remain linked to every release.
Source, standardized, curated derivative, and analysis-template levels are never collapsed into one ambiguous label.
Recipes, pipeline versions, validation outcomes, approvals, and prior versions remain inspectable.
No derivative is represented as statistically correct for every population, component, or research question.
Responsible research use
NHANES analyses may require component-specific eligibility rules, interview or examination weights, fasting or laboratory subsample weights, strata, PSUs, and multi-cycle adjustments.
Praxis makes those decisions easier to find. It does not replace study-specific statistical judgment.
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