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BigBrain_The Full Mushroom Experience

Team members

Anantharajan Vivekbala (EPD), Joseph Chong Giap Sheng (EPD), Poh Jin Heng Princeton (ISTD), Lee Jet Xuen (ISTD), Chong Wah Jin Brandon (ISTD), Chen Jie (ISTD)

Instructors:

Norman Lee Tiong Seng, Teo Tee Hui

Writing Instructors:

Susan Wong

Teaching Assistant:

Perry Lam

Project Background

This project is intended to prototype a one-stop documentation tool that helps researchers ease the tedious process of documentation. Our solution aims to reduce the time spent on documentation by 30%, without the need of extra manpower and utilising extra tools.

 

Problem

A smooth process of documentation is crucial to a research team as it allows the team to be able to document the experiment process and results in a more efficient way. However, the current market does not exist a single one-stop software that allows users to document, visualise and manage their experiments well. Experiments that involve iterations of fine tuning variables involved often require extra manpower to observe and record the results.

Solution

BigBrain - the all-in-one documentation tool that allows researchers and experimenters alike to document their data, values and variables in a repository-like manner. With an intuitive user experience, users will be able to focus more on their experiments and less on the nitty gritties of authorisation, data persistence and latency. 

 

 

 

Key Features

1. Parties

Parties refers to groups of users who are in an organisation or are working on the same project. Anybody can start a project of their own as a one man party or start it as an organisation. Users, Groups, Roles and Permissions (UGRP) are easily handled and conflict-free. 

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3. Lobbies

Every experiment has multiple stages, where there will be different data values, variables and data types. Each stage of an experiment comes with its very own chat lobby, where people can come together and discuss the current stage or plan ahead for future endeavours. 

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5. Search

In traditional large systems of documentation tools, searching for one particular experiment or post may take up large amounts of time. Indexing may also take a long time which might hinder progress for a team to view, analyse and compare multiple experiments. With our application built on the Elixir framework, searching becomes dynamic, quick and easy. 

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2. Approval

Users, specifically leaders/owners of the experiment will be able to approve incoming entries of data and posts by other members in the group. This sets up a sense of ownership of one's experiment and also allows for the checking of human errors or outliers before publishing of data.

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4. Calendar

With our calendar function intrinsically tied to the experiments that you create, you will have the ability for version control coupled with ease of access of data chronologically. Through parties, you will be able to view experiments or posts done by others in your team, which is important in keeping track for large scales experiments. 

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FEEDBACK

TEAM MEMBERS

student Anantharajan Vivekbala Engineering Product Development
student Joseph Chong Giap Sheng Engineering Product Development
student Poh Jin Heng Princeton Information Systems Technology and Design
student Lee Jet Xuen Information Systems Technology and Design
student Chong Wah Jin Brandon Information Systems Technology and Design
student Chen Jie Information Systems Technology and Design

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