

OpenITI/FASDH25 – May 2025: Delivered feature-rich enhancements to article analysis tooling, focusing on interactive mapping, data visualization, and rendering. The work enables richer analytics, faster reporting, and more compelling visual outputs for stakeholders.
OpenITI/FASDH25 – May 2025: Delivered feature-rich enhancements to article analysis tooling, focusing on interactive mapping, data visualization, and rendering. The work enables richer analytics, faster reporting, and more compelling visual outputs for stakeholders.
Month: 2025-03 — OpenITI/FASDH25 Key features delivered: - Urdu Poets Archive Expansion and Reorganization: Expanded the Urdu poets archive in Markdown, added new poets, reorganized sections, and implemented file renaming and header updates to improve accessibility and curation. - Text Analysis Toolkit for Word Occurrence in Articles: Delivered Python tooling to count keyword occurrences across titles and bodies, process multiple article files, and generate aggregated counts for reporting. Major bugs fixed: - No major bugs reported for this repo this month. Minor refactors were performed to support feature work and ensure compatibility with the new archive structure and text-analysis tooling. Overall impact and accomplishments: - Enhanced content discovery and accessibility in the Urdu poets archive and established scalable analytics for article content, accelerating research workflows and decision-making for content teams. The features deliver measurable business value by improving curation quality and enabling data-driven insights with minimal manual effort. Technologies/skills demonstrated: - Python-based tooling for text analytics, Markdown content management, header/file renaming for accessibility, multi-file processing, and clear commit hygiene for traceability.
Month: 2025-03 — OpenITI/FASDH25 Key features delivered: - Urdu Poets Archive Expansion and Reorganization: Expanded the Urdu poets archive in Markdown, added new poets, reorganized sections, and implemented file renaming and header updates to improve accessibility and curation. - Text Analysis Toolkit for Word Occurrence in Articles: Delivered Python tooling to count keyword occurrences across titles and bodies, process multiple article files, and generate aggregated counts for reporting. Major bugs fixed: - No major bugs reported for this repo this month. Minor refactors were performed to support feature work and ensure compatibility with the new archive structure and text-analysis tooling. Overall impact and accomplishments: - Enhanced content discovery and accessibility in the Urdu poets archive and established scalable analytics for article content, accelerating research workflows and decision-making for content teams. The features deliver measurable business value by improving curation quality and enabling data-driven insights with minimal manual effort. Technologies/skills demonstrated: - Python-based tooling for text analytics, Markdown content management, header/file renaming for accessibility, multi-file processing, and clear commit hygiene for traceability.
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