LORIS is a web application used to manage as well as host, and visualize data with a focus on neuroscience and genomics (among other fields). Services are split into different modules offered to researchers. Frontend is written in javascript, allowing it to:

• Display on multiple browsers and platforms

• The use of Reactjs, a component-based framework designed for creating UIs

• The use of D3, a javascript library for data visualization

 Given LORIS' scope, there is room for extensibility: particularly for visualization. The objective of this project is to offer end users new visualizations for time-series data. This would allow better interpretation of data shared online through LORIS and paves the path for more comprehensive analytical tools with regards to the data being visualized. This alo requires the data uploaded to meet certain formats or to convert it to certain formats. Along with a visualization tool will be the need to properly validate the uploaded data.