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
Developed a SHACL validation framework for JSON-LD metadata within the British-Oceanographic-Data-Centre/amrit-repos repository, focusing on enhancing data quality and governance. The work involved designing example SHACL shapes and creating sample data files to define and illustrate metadata conformance requirements. A Python script was implemented to automate the validation process, ensuring that metadata structures adhere to specified standards before integration. By introducing this early validation gate, the project established a foundation for automated quality assurance and consistent data management. The approach leveraged Python scripting, RDF, and SHACL, providing reusable validation components to support future schema development and streamline QA cycles.
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 peopleSame Organization
@noc.ac.uk4
Shared Repositories
12
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
Loading activity data...
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
Overview of all repositories you've contributed to across your timeline