Standards used in this guide
The recipes use published standards wherever one exists. Where the World Bank's Development Data Group has adopted a standard or built a tool for its own catalogs, the guide uses that one.
Records and vocabularies
| Standard | Use | World Bank use | In this guide |
|---|---|---|---|
| World Bank metadata schemas | The fields a model drafts or flags (definition_long, measurement_unit, keywords, topics with vocabulary and URI) | The Development Data Group's catalogs | Chapters 3, 5, and 6 |
| SKOS | Concept schemes with preferred and alternate labels per language and URIs | Chapter 6 | |
| XKOS | Statistical classifications and correspondences | Chapter 6 | |
| Metadata Editor | Applying accepted changes with validation; publishing to NADA | Used by the Development Data Group's curators | Chapters 5 and 6 |
| NADA | The catalog the records are published to | Runs the Microdata Library | Chapter 5 |
| ISO 639 | Language codes for multilingual labels and fields | Chapters 6 and 7 | |
schema.org inLanguage | Language of a catalog page for crawlers and assistants | NADA pages carry schema.org | Chapter 7 |
| Frictionless Table Schema | Description of a legacy spreadsheet's columns before mapping | Chapter 2 |
Program methods and tools
| Resource | Use | In this guide |
|---|---|---|
| Generative AI for Metadata Quality and its notebook | Scoring records on completeness, semantic alignment, specificity, and consistency with structured output; the task families and risks | Chapters 1, 3, and 4 |
| Metadata Reviewer | Agentic detection of issues with category, severity, and a proposed fix; the client; the review board | Chapter 5 |
| Metadata Augmentation | Model curation of variable groups with a self-consistency check | Chapter 3 |
| Efficient and Inclusive AI | Model size by task, batch processing, provider-agnostic configuration with local models | Chapter 8 |
| litellm | The provider-agnostic client the program's tools use | Chapters 1 and 8 |
Governance and measurement
| Standard | Use | In this guide |
|---|---|---|
| UN Fundamental Principles of Official Statistics | Professional responsibility for published metadata | Chapter 1 |
| ISO/IEC 42001 and NIST AI RMF | Management and risk frameworks the AI-use policy and register fit into | Chapter 1 |
| Inter-rater agreement (Cohen's kappa) | Agreement between curators as the reference for calibration | Chapter 4 |
| JSON Schema | Structured output for drafts and scores | Chapters 3 and 4 |
Corrections
Standards change versions and URLs. If a reference here is wrong or out of date, open an issue with the row and the corrected source.