{
  "id": "EVI-RCSR-230-0177",
  "slug": "evi-clsa-c-0274-0177",
  "title": "Source research for EVI-CLSA-C-0274",
  "dependencyId": "EVI-CDEP-229-0177",
  "claimId": "EVI-CLSA-C-0274",
  "reportId": "REP-GEO-001",
  "claimClass": "STANDARDS_VERSION_CLAIM",
  "previousDisposition": "DEFERRED",
  "researchDisposition": "CURRENT_WITH_QUALIFICATIONS",
  "sourceKey": "W3C_VC20",
  "sourceUrl": "https://www.w3.org/TR/vc-data-model-2.0/",
  "publisher": "World Wide Web Consortium",
  "sourceTitle": "Verifiable Credentials Data Model v2.0",
  "publicationOrUpdateDate": "2025-05-15",
  "accessDate": "2026-08-09",
  "jurisdiction": "International technical standard",
  "claimSupported": "Bounded proposition only",
  "limitations": "A W3C Recommendation defines a technical data model; it does not grant citizenship, legal personhood, issuer authority, external recognition, or service deployment.",
  "currentness": "CURRENT",
  "exactBeforePassage": "At the core of an effective spatial platform is a normalized, canonical data model. The system must establish a single source of truth for all geographic entities, preventing the fragmentation of population statistics, coordinate geometries, and regional relationships across multiple disparate digital templates. A Common Geographic Data Architecture is essential for maintaining integrity across complex platforms1. Every geographic entity must be assigned a stable, persistent identifier, such as a universally unique identifier or an authoritative national registry code. This underlying stability ensures that routing algorithms, application programming interface responses, and database queries remain robust and consistent even if an entity experiences a name change due to administrative reorganization. The database schema normalizes spatial topologies, utilizing a graph-based or relational structure to explicitly model the hierarchy of the nation. The canonical entities mapped within the system span multiple distinct categories. Administrative hierarchies encompass the country itself, first-level divisions such as states or provinces, second-level divisions such as counties or townships, and individual municipalities. Physical geographies must account for mountain ranges, river systems, lakes, coastlines, and islands. Infrastructural nodes capture the capital, major cities, transit hubs including airports and major ports, border crossings, and designated national parks. By leveraging standardized vocabularies, the platform ensures total machine readability and interoperability with global search indexing systems. The architecture maps these entities to established semantic web standards, specifically utilizing the schema.org vocabulary to categorize the geographic reality of the country3. For instance, a municipal boundary or a county court district is semantically structured using the schema.org/AdministrativeArea type, which is then nested with containsPlace relationships to explicitly link regional entities to specific street addresses, local postal codes, or individual landmarks5.",
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  "proposedAfterPassage": "W3C Verifiable Credentials Data Model v2.0 became a Recommendation on 15 May 2025. It defines a technical data model and does not itself create legal personhood, citizenship, issuer authority, external recognition, or a deployed service.",
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  "publicExplanation": "A current primary or official source is recorded, but the claim remains bounded by jurisdiction, scope, and implementation limits.",
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}
