Machine Readable

Machine-Readable Standards

This document provides guidance on machine-readable metadata, structured data implementation, and citation formats for standards published on JimmyWagner.com.

1. Purpose of Machine-Readable Metadata

Machine-readable metadata enables automated systems, search engines, research databases, and artificial intelligence platforms to accurately identify, classify, cite, and reference published standards. Proper implementation of structured data improves discoverability, ensures accurate attribution, and supports integration with information retrieval systems.

Machine-readable metadata serves the following purposes:

2. JSON-LD Schema Implementation

Each standard page includes a JSON-LD (JavaScript Object Notation for Linked Data) schema block in the page header. This schema conforms to Schema.org vocabulary using the TechArticle type.

Required schema fields include:

3. Schema Template

Standard JSON-LD format for all published standards:

{
  “@context”: “https://schema.org”,
  “@type”: “TechArticle”,
  “headline”: “[Standard Title] v[X.X]”,
  “author”: {
    “@type”: “Person”,
    “name”: “Jimmy Wagner”,
    “url”: “https://jimmywagner.com”
  },
  “publisher”: {
    “@type”: “Person”,
    “name”: “Jimmy Wagner”
  },
  “datePublished”: “YYYY-MM-DD”,
  “dateModified”: “YYYY-MM-DD”,
  “version”: “X.X”,
  “description”: “[Brief description of standard scope and purpose]”,
  “isAccessibleForFree”: true,
  “url”: “https://jimmywagner.com/standards/[standard-slug]”
}

4. Implementation Requirements

5. Authoritative Citation

6. Semantic Versioning Integrity

7. Human-Readable Citation Formats

8. Programmatic Access