Cross-Dataset Query Designs

Explore higher-level questions through explicitly aligned entities, geographies, populations, periods and source revisions. Conceptual identifiers are not verified SQL column names.

The roadmap targets 1,000+ specifications. The current catalog contains 300. No query execution, dataset ingestion or findings are enabled by these plans.

Search and Expansion Roadmap

Join Validation Contract | Query Plans JSON

JOIN-001

Cost, Completion, Wages, and Rent

How do net price, completion, field earnings, and local rent relate for a program at an institution?

Conceptual Join Only

Target Grain: institution x CIP x county x year

Keys and Cardinality
  • UNITID
  • CIP version
  • county FIPS
  • ACS vintage
  • award year
  • cohort
  • One row per institution and CIP per year
  • Verify one rent row per county/vintage before a many-to-one attachment; do not sum repeated county statistics across institutions or programs
  • Earnings population documented separately from completion cohort
  • Verify source revisions and licensing compatibility
  • Preserve unmatched and suppressed cells
  • Validate many-to-many bridge weights and pre/post-join totals
  • Bound dry-run bytes and execution cost before any query

Populations differ by measure; no causal or personalized claim.

JOIN-002

Firms, Energy, and Jobs

How do establishment counts, electricity prices, and industry employment move together by county?

Conceptual Join Only

Target Grain: county x NAICS x year

Keys and Cardinality
  • county FIPS
  • NAICS version
  • state
  • year or month
  • Energy prices are state level and fan out to counties
  • Monthly energy aggregated to year before join
  • Suppressed QCEW cells preserved as unknown
  • Verify source revisions and licensing compatibility
  • Preserve unmatched and suppressed cells
  • Validate many-to-many bridge weights and pre/post-join totals
  • Bound dry-run bytes and execution cost before any query
  • State energy prices are contextual, non-additive across counties; resolve industry classification and temporal versions

State prices cannot explain county employment.

JOIN-003

Grants and Need

Where do federal grant obligations land relative to indicators of need?

Conceptual Join Only

Target Grain: county x program x fiscal year

Keys and Cardinality
  • county FIPS
  • program number
  • fiscal year
  • ACS vintage
  • Place of performance used, not recipient address
  • Fiscal year mapped to ACS period explicitly
  • Subaward incompleteness flagged
  • Verify source revisions and licensing compatibility
  • Preserve unmatched and suppressed cells
  • Validate many-to-many bridge weights and pre/post-join totals
  • Bound dry-run bytes and execution cost before any query

Obligations are not delivered services.

JOIN-004

Transport and Access

Which campuses and health facilities have transit stops nearby, with what service coverage?

Conceptual Join Only

Target Grain: site x stop

Keys and Cardinality
  • stop ID
  • feed version
  • UNITID
  • facility ID
  • geography vintage
  • Spatial join bounded by radius, not Cartesian
  • Feed version date recorded
  • Duplicate stops collapsed by stop ID
  • Verify source revisions and licensing compatibility
  • Preserve unmatched and suppressed cells
  • Validate many-to-many bridge weights and pre/post-join totals
  • Bound dry-run bytes and execution cost before any query

Spatial proximity is not accessibility. Check pedestrian barriers, route calendars, frequency and time of day before claiming travel access.

JOIN-005

Healthcare and Workforce

How do shortage area designations compare with health occupation employment and program completions?

Conceptual Join Only

Target Grain: county x discipline x year

Keys and Cardinality
  • area ID
  • county FIPS
  • SOC version
  • CIP version
  • year
  • CIP to SOC fanout audited
  • Designation areas mapped to counties with overlap share
  • Employment counts jobs, not persons
  • Verify source revisions and licensing compatibility
  • Preserve unmatched and suppressed cells
  • Validate many-to-many bridge weights and pre/post-join totals
  • Bound dry-run bytes and execution cost before any query

Designation is administrative; completions are not local hires.

JOIN-006

Research and Industry

How do research expenditure, industry co-authorship, and regional industry employment relate by field?

Conceptual Join Only

Target Grain: institution x field x metro x year

Keys and Cardinality
  • institution ID
  • field code
  • CBSA code
  • NAICS version
  • year
  • Field to NAICS mapping documented as many-to-many
  • Affiliation matching coverage reported
  • Observation date fixed for citations
  • Verify source revisions and licensing compatibility
  • Preserve unmatched and suppressed cells
  • Validate many-to-many bridge weights and pre/post-join totals
  • Bound dry-run bytes and execution cost before any query
  • A validated research-field-to-industry crosswalk is a prerequisite; no mapping or executable join is supplied

Co-occurrence is not technology transfer.

JOIN-007

Housing and Income

How do permits, rent burden, and income distribution relate by county over time?

Conceptual Join Only

Target Grain: county x income band x year

Keys and Cardinality
  • county FIPS
  • ACS vintage
  • income band
  • year
  • ACS one-year versus five-year not mixed
  • Margins of error carried through
  • Permit counts aligned to calendar year
  • Verify source revisions and licensing compatibility
  • Preserve unmatched and suppressed cells
  • Validate many-to-many bridge weights and pre/post-join totals
  • Bound dry-run bytes and execution cost before any query

Permits are not completions; no housing advice.

JOIN-008

Sports and Schedule

How do schedule density, travel distance, and postponements vary by team and week?

Conceptual Join Only

Target Grain: team x week

Keys and Cardinality
  • league
  • season
  • team ID
  • venue ID
  • game date
  • schedule version
  • Unique league, season, game ID, team ID and schedule revision before team-week aggregation
  • Venue coordinates joined one-to-one
  • Postponed games retained with status
  • Verify source revisions and licensing compatibility
  • Preserve unmatched and suppressed cells
  • Validate many-to-many bridge weights and pre/post-join totals
  • Bound dry-run bytes and execution cost before any query

Venue-to-venue distances are proxies, not verified travel itineraries. No roster or betting actions.