British-Oceanographic-Data-Centre/amrit-repos
Mar 2025 – Mar 2025
1 Month active
Languages Used
PythonTurtle
Technical Skills
Data ValidationJSON-LDPython ScriptingRDFSHACL
matcor-bodc
PROFILE
Matcor-bodc
Mat Corbett developed a SHACL validation framework for JSON-LD metadata in the British-Oceanographic-Data-Centre/amrit-repos repository, focusing on improving data quality and governance. He designed example SHACL shapes and sample data files to define and illustrate metadata conformance requirements, and implemented a Python script to automate validation and enforce structural standards. Leveraging skills in Python scripting, RDF, and data validation, Mat established an early validation gate for metadata, reducing downstream data-quality issues and accelerating QA cycles. His work laid the foundation for automated metadata validation, providing reusable components to support future data schemas and repository-level documentation within the project.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
492
Activity Months1
Your Network
16 people
Work History
March 2025
1 Commits • 1 Features
Mar 1, 2025March 2025: Delivered a new data quality capability by introducing a SHACL validation framework for JSON-LD metadata in the amrit-repos project. This work provides an early validation gate for metadata structure and content, enabling consistent data governance and reducing downstream data-quality issues. Key deliverables include example SHACL shapes, sample data files, and a Python script to perform validation and enforce conformance to defined requirements. There were no major bugs fixed this month; the focus was on feature delivery and laying groundwork for automated QA. Impact: improves metadata quality, accelerates QA cycles, and provides reusable validation components for future data schemas. Technologies/skills demonstrated: SHACL, JSON-LD, Python scripting, data validation patterns, and repository-level documentation.
1 Commits • 1 Features
Mar 1, 2025March 2025: Delivered a new data quality capability by introducing a SHACL validation framework for JSON-LD metadata in the amrit-repos project. This work provides an early validation gate for metadata structure and content, enabling consistent data governance and reducing downstream data-quality issues. Key deliverables include example SHACL shapes, sample data files, and a Python script to perform validation and enforce conformance to defined requirements. There were no major bugs fixed this month; the focus was on feature delivery and laying groundwork for automated QA. Impact: improves metadata quality, accelerates QA cycles, and provides reusable validation components for future data schemas. Technologies/skills demonstrated: SHACL, JSON-LD, Python scripting, data validation patterns, and repository-level documentation.
March 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance60.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonTurtle
Technical Skills
Data ValidationJSON-LDPython ScriptingRDFSHACL
Repositories Contributed To
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