Data Gems
Services
Web App Design, User Flows, Wireframing, Prototyping, Hand-Off
Date
March, 2025
About the project
DataGems is a next-generation dataset discovery and management ecosystem designed to make data findable, combinable and explorable. It leverages advanced data management, natural language processing and machine learning to work with diverse formats, from tables and documents to knowledge graphs and images.
My Role
I was the sole designer responsible for the full design of the DataGems web application, covering design, user flows, wireframing, prototyping and developer Hand-Off.
Over 70 people from multiple countries contributed to the project, each focusing on different components, which made decision-making challenging. My role was to communicate with each group, align on priorities and consolidate requirements into a clear, unified vision.
Based on these insights, I created an initial user-flow diagram, later streamlining it into a shorter, more intuitive path for end users.
Project Outcome
The result is a fully developed and functional DataGems web application, now ready for use by its target audiences.
My work included a detailed style guide for frontend developers, which streamlined implementation and ensured design consistency across all modules.
The final designs and interactive prototype were shared with project partners, allowing teams to align their work, accelerate development and focus on advancing the platform’s data-driven features.
Process - Detailed workflow
After gathering requirements, I drafted a detailed user‑flow diagram covering all user interactions, including natural language search, dataset profiling and AI‑driven recommendations. In subsequent iterations I shortened the flow by removing unnecessary steps, so that users reached relevant data faster. The final flow served as the foundation for wireframes and the prototype.
Using the flow, I built low‑fidelity wireframes outlining the layout, menus and interactive elements. The app includes features like natural‑language search, dataset profiling and AI recommendations, reflecting the project’s scope. I assembled the screens into a clickable prototype for testing, which could be easily shared with the consortium.







