Geospatial Data Validation & Metadata Standardization
Validate geospatial data and standardize metadata automatically
What You Can Do
You can upload geospatial datasets (shapefiles, GeoJSON, rasters) and receive comprehensive validation reports, metadata standardization recommendations, and ISO 19115 compliance checks. The skill identifies data quality issues like projection mismatches, missing attributes, invalid geometries, and inconsistent coordinate systems, then generates standardized metadata templates ready for data catalogs.
Features
Detect invalid geometries, self-intersections, missing coordinates, and topology errors in vector datasets with specific line numbers and fix suggestions.
Generate ISO 19115 compliant metadata from raw geospatial files, including spatial extent, temporal coverage, lineage, and data quality metrics.
Identify coordinate reference systems, detect mismatches between declared and actual projections, and recommend transformations for alignment.
Validate attribute schema, detect missing values, type mismatches, and suggest standardized field naming conventions for catalog interoperability.
Document source data, processing steps, transformations applied, and quality assurance procedures in standardized lineage format.
Generate PDF/JSON compliance reports against FGDC, OGC, and sector-specific standards (INSPIRE, national geospatial frameworks).
Validate multiple datasets simultaneously and produce unified metadata documentation with cross-dataset consistency checks.
Example Output
Example 1: Geometry Validation Report
Dataset: parcels.shp
- ❌ 47 self-intersecting polygons detected (lines 12, 45, 89...)
- ⚠️ 3 features with missing Z-coordinates (expected 3D, got 2D)
- ✅ Topology: Valid ring orientation
Recommendation: Repair using OGR/GDAL: `ogr2ogr -f 'ESRI Shapefile' parcels_fixed.shp parcels.shp -SQL 'SELECT * FROM parcels'`
Example 2: Standardized ISO 19115 Metadata
{
"title": "City Zoning Districts 2024",
"spatialExtent": {"bbox": [-74.2, 40.6, -73.9, 40.8]},
"temporalExtent": {"begin": "2024-01-01", "end": "2024-12-31"},
"crs": "EPSG:4326",
"lineage": "Digitized from municipal survey records; validated 2024-08-10",
"qualityMetrics": {"completeness": 98.5, "horizontalAccuracy": "±5m"},
"conformsTo": ["FGDC, INSPIRE"]
}
What's Included
- Validation Engine: Automated checks for geometry validity, attribute completeness, projection consistency, and topology integrity.
- Metadata Generator: Templates and automated extraction for ISO 19115, FGDC, and OGC standards-compliant metadata.
- Compliance Checker: Mapping rules for INSPIRE, national geospatial frameworks, and sector standards (utilities, environmental, cadastral).
- Reporting Module: Generate PDF reports, JSON exports, and markdown summaries of validation results and recommended fixes.
- Data Lineage Framework: Structured templates for documenting data provenance, processing history, and quality assurance sign-offs.
Who It's For
- GIS Data Managers
- Geospatial Data Stewards
- Cadastral & Utility Mapping Specialists
- Government Data Catalog Administrators
- Environmental & Urban Planning Analysts
Best For
- Pre-publication data quality assurance before publishing to open data portals
- Standardizing metadata across heterogeneous geospatial datasets in a data lake
- Validating third-party or legacy geospatial imports for consistency
- Compliance audits against INSPIRE, FGDC, or national geospatial standards
- Batch processing of municipal/regional geospatial datasets for interoperability
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