Projects

Projects

Research and applied projects focused on healthcare data, ontology engineering, learning systems, and socio-technical analysis.

Research Projects

Projects connected to healthcare data transparency, governance, and socio-technical systems.

Atlas Project

Data Transparency Ontology

Mapped healthcare data lifecycles using data flow diagrams, UML use cases, and data value mapping to support ontology-based transparency and provenance modelling.

SEIPS Work System Project

Healthcare Work System Ontology

Developed an ontology based on the SEIPS model to represent healthcare work systems, actors, tasks, tools, and the socio-technical context around healthcare data use.

Hospital Data Governance

Clinical Data Flow Mapping

Analysed fragmented hospital data flows and governance processes to identify data quality, duplication, responsibility, and transparency issues.

Applied Digital Projects

Selected technical and applied projects involving platforms, plugins, data pipelines, and analysis.

VICTORY Project

Moodle-Based Learning Platform

Built and customised a Moodle-based learning management system, including self-developed plugins to improve usability, structure, and course delivery.

Data Science

Forecasting Projects

Developed forecasting exercises for house price and rent analysis using Python, data cleaning, exploratory analysis, and data visualisation.

ETL & Visualisation

Dublin Bikes Data Pipeline

Built an ETL workflow to gather, clean, and visualise API-based Dublin Bikes data for exploratory analysis and reporting.