
Over four months, contributed to the cschuwey/UBS_M1_TEI repository by building a TEI-encoded literary edition workflow and establishing robust XML-based configuration and data modeling. Developed and refined TEI-compliant XML files for plays and literary works, implemented XSLT stylesheets to enable TEI-to-HTML transformation for browser-based presentation, and enhanced data integrity through metadata corrections and content cleanup. Applied skills in XML, XSLT, and configuration management to improve editorial workflows, semantic structuring, and maintainability. The work emphasized scalable data structures, reliable transformation pipelines, and clear documentation, supporting both digital humanities research and the long-term sustainability of the project’s assets.
December 2025 monthly summary for UBS_M1_TEI: Delivered core TEI to HTML presentation capability through an XSLT stylesheet pipeline, enabling browser-based rendering of literary works and bibliographic/textual data. Implemented and integrated transformation.xsl and TD10_XSL, establishing the TEI-to-HTML transformation foundation and readying the code path for scalable presentation layers.
December 2025 monthly summary for UBS_M1_TEI: Delivered core TEI to HTML presentation capability through an XSLT stylesheet pipeline, enabling browser-based rendering of literary works and bibliographic/textual data. Implemented and integrated transformation.xsl and TD10_XSL, establishing the TEI-to-HTML transformation foundation and readying the code path for scalable presentation layers.
2025-11 UBS_M1_TEI: Delivered two core features with a focus on authoring content and robust XML structure. Key features: Authoring Concepts Content paragraph added to provide guidance on authorship complexities and required skills; XML Tagging and Structure Enhancements with improved word-level tagging, enhanced semantic organization, and new character declarations, plus reorganization of Caractères2.xml. Major bugs fixed: no explicit major fixes reported this month; changes address parsing/display reliability through XML refactor and tagging enhancements. Overall impact and accomplishments: strengthened authoring guidance and downstream processing reliability, improved maintainability, and a solid foundation for future TEI-like data handling. Technologies/skills demonstrated: XML/TEI-like tagging, semantic structuring, XML refactor, Git commit hygiene with clear messages, and documentation alignment with project goals.
2025-11 UBS_M1_TEI: Delivered two core features with a focus on authoring content and robust XML structure. Key features: Authoring Concepts Content paragraph added to provide guidance on authorship complexities and required skills; XML Tagging and Structure Enhancements with improved word-level tagging, enhanced semantic organization, and new character declarations, plus reorganization of Caractères2.xml. Major bugs fixed: no explicit major fixes reported this month; changes address parsing/display reliability through XML refactor and tagging enhancements. Overall impact and accomplishments: strengthened authoring guidance and downstream processing reliability, improved maintainability, and a solid foundation for future TEI-like data handling. Technologies/skills demonstrated: XML/TEI-like tagging, semantic structuring, XML refactor, Git commit hygiene with clear messages, and documentation alignment with project goals.
Monthly summary for 2025-10 focusing on delivering a TEI-encoded edition workflow for La Bruyère's Caractères and cleaning the repository to improve data hygiene and maintenance. Key outcomes include establishing a baseline TEI-encoded edition (Caractères.xml) with subsequent refinements (Caractères1, Caractères2.xml) and metadata/editorial updates; and performing content cleanup and asset reorganization by removing obsolete KERMOAL material and renaming assets to reflect updated content structure. No user-reported bugs were identified this month; instead, data integrity and editorial workflow improvements were emphasized to reduce future maintenance overhead and accelerate edition work. Technologies and skills demonstrated include TEI/XML encoding, XML editorial workflows, version control discipline, and asset/metadata management, delivering business value through improved discoverability, reliability, and scalability of the Caractères edition.
Monthly summary for 2025-10 focusing on delivering a TEI-encoded edition workflow for La Bruyère's Caractères and cleaning the repository to improve data hygiene and maintenance. Key outcomes include establishing a baseline TEI-encoded edition (Caractères.xml) with subsequent refinements (Caractères1, Caractères2.xml) and metadata/editorial updates; and performing content cleanup and asset reorganization by removing obsolete KERMOAL material and renaming assets to reflect updated content structure. No user-reported bugs were identified this month; instead, data integrity and editorial workflow improvements were emphasized to reduce future maintenance overhead and accelerate edition work. Technologies and skills demonstrated include TEI/XML encoding, XML editorial workflows, version control discipline, and asset/metadata management, delivering business value through improved discoverability, reliability, and scalability of the Caractères edition.
Concise monthly summary for 2025-09 focusing on establishment of XML-based configuration and data modeling for the UBS_M1_TEI project. Implemented foundational configuration/data XML and extended settings, introduced TEI-compliant data modeling for play scenes, and added a dedicated data file to support specialized datasets. These efforts provide a scalable structure for configuration and assets, enabling smoother deployment and data-driven workflows.
Concise monthly summary for 2025-09 focusing on establishment of XML-based configuration and data modeling for the UBS_M1_TEI project. Implemented foundational configuration/data XML and extended settings, introduced TEI-compliant data modeling for play scenes, and added a dedicated data file to support specialized datasets. These efforts provide a scalable structure for configuration and assets, enabling smoother deployment and data-driven workflows.

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