don-data
npx machina-cli add skill dstotijn/developer-overheid-nl-agent-skills/don-data --openclawDON Data
When to Use This Skill
Use this skill when you need guidance on:
- data
- standards
- exchange
- quality
How to Navigate
This skill contains documentation organized by topic. Browse the references below or ask about specific topics.
References
Linked Data
Standaarden
- index
- go
- index
- jakarta
- index
- project-besluiten
- index
- parkeervergunning-inzien
- parkeervergunning-wijzigen
- verhuizing-enkelvoudig
- verhuizing-meervoudig
Source: https://github.com/developer-overheid-nl/don-site/tree/main/docs/data
Source
git clone https://github.com/dstotijn/developer-overheid-nl-agent-skills/blob/main/skills/don-data/SKILL.mdView on GitHub Overview
DON Data provides guidance on data formats, exchange standards, and data quality for Dutch government applications. The documentation is organized by topic and links to linked-data standards and practical examples like parkeervergunning and verhuizing to help implement compliant data practices.
How This Skill Works
The skill aggregates topic-specific documentation and reference indexes (e.g., JSON/YAML, linked data, and standaarden). You browse relevant references or ask for topics, then apply the recommended formats, exchange standards, and validation patterns to your data workflows.
When to Use It
- When designing data formats for government applications to ensure interoperability
- When implementing data exchange standards between agencies or systems
- When validating data quality against mandated requirements and policies
- When exploring linked-data standards (DCAT, RDF, SHACL, SKOS) for government data
- When looking for practical, example-driven patterns (parkeervergunning, verhuizing) to follow
Quick Start
- Step 1: Browse references/index.md and references/json-yaml.md to locate formats and schemas
- Step 2: Map your data to the chosen standards (DCAT/RDF) and set up SHACL validation
- Step 3: Review concrete examples (parkeervergunning, verhuizing) and adapt them to your use case
Best Practices
- Start with the JSON/YAML references to define data schemas and serialization
- Align data formats and metadata with DCAT and RDF for interoperable publishing
- Use SHACL to validate data quality and conformance against schemas
- Study real-world patterns like parkeervergunning and verhuiZing examples as templates
- Document data provenance, governance, and versioning within logboek-dataverwerkingen patterns
Example Use Cases
- Parkeervergunning inzien
- Parkeervergunning wijzigen
- Verhuizing enkelvoudig
- Verhuizing meervoudig
- Go implementation of logboek-dataverwerkingen