The goal of the project was to develop a prototype application designed to map scientific research findings. At its core, the system aimed to support the analysis and visualization of relationships between research variables, drawing data from scientific papers in PDF format.
Tools and technologies used
Boring Owl team was tasked with designing an intuitive user interface and delivering an interactive prototype equipped with advanced analytical and visualization features.
Challenge
The goal of the project was to develop a tool that:
- Enables users to explore collections of scientific publications based on selected variables.
- Visualizes relationships between these variables using an interactive map.
- Presents statistical data in a clear and accessible format.
- Provides quick access to the original data sources, such as academic articles.
One of the main challenges was to represent complex statistical relationships between research variables in a way that is both intuitive and easy to interpret. It was equally important to ensure that the tool could handle large datasets efficiently, without compromising performance.
Solution
Our team implemented an application based on technologies:
- Frontend: React CRA + Material-UI - provides a clean, modern interface with ready-to-use components.
- Forms: react-use-form - allows to create multi-step forms with validation.
- Data visualization: React-Flow - an advanced library used to create dynamic graphs and diagrams
Key Features
- An interactive map illustrating the relationships between research variables, complete with visualized statistical dependencies.
- A results table summarizing the statistical analysis, with direct links to relevant articles.
- A multi-step data analysis workflow that allows for easy PDF uploads, variable selection, and publication filtering.
Results
- Development of a functional prototype of an application to support the work of researchers.
- High readability and ease of use, even when analyzing large and complex data sets.
- Significant acceleration of the research process thanks to intuitive visualization and quick access to sources.
Summary
Through close collaboration with the client, the Boring Owl team created a prototype tailored to the needs of scientific data analysis. Combining advanced visualization capabilities, thoughtful UX design, and flexible analytical tools, the app helps researchers uncover patterns, understand variable relationships, and draw conclusions from scientific literature more efficiently.