Work Experience Placement Course - Basic Data Analysis and Plotting Using the HAVEN Dataset 🫀 🧠

This is a repository detailing a work experience placement course where students will work with the [HAVEN](https://research.reading.ac.uk/cinn/research-studies/haven/) dataset acquired by the University of Reading.

As part of the placement, students will:

• Gain a basic understanding of neuroimaging (MRI, fMRI) and its uses for scientific research
• Acquire practical experience in data analysis and plotting using R and ChatGPT
• Generate their own hypotheses and these these hypotheses using simple statistic tests (t-test, correlations)
• Upload their findings onto GitHub and publish as a webpage using GitHub Actions

Subsequently, the following are required:

• R/Rstudio (but also available online)
• ChatGPT account (free)
• GitHub account (also free)

The repository itself contains the following structure:

├── data
│   ├── correct_rt_data.csv
│   ├── participant_data.csv
│   └── rt_data.csv
├── information
│   ├── HAVEN.pptx
│   └── HAVEN_information_sheet.pdf
└── workbook
    ├── answers.Rmd
    ├── answers.html
    ├── github.md
    └── workbook.md

With the following folders:

• data contains data required for the analyses:
  • participant_data.csv, basic demographic data for 52 participants including age, sex, height, weight, BMI and education, as well as lesion volume and lesion number
  • rt_data.csv - participant data from the memory task performed by participants within the scanner, including the average reaction time for correct and incorrect responses, as well as participant accuracy.
  • correct_rt_data.csv is only required for the final example, and includes individual trial responses for each participant as well as their age.
• information contains a presentation and pdf detailing the HAVEN study.
• workbook covers how the students should progress through the placement:
  • workbook.md is the first workbook the student should complete, which covers the theoretical background including the HAVEN study, MRI/fMRI and episodic memory, as well as the practical data analysis and plotting.
  • answers.md/html are completed examples for the questions assigned to the student in workbook in both markdown and html.
  • github.md is to be completed after workbook and provides a guide to creating a GitHub account, adding a README.md detailing some of the analyses, and publishing this using GitHub Actions.

If you have any questions or issues, please open a thread or email me at axs2210@student.bham.ac.uk

Copyright (c) 2024 Aamir Sohail