phd-thesis
Reproducible copy of my PhD thesis. Linked to the Open Science Framework.
Science Score: 44.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (6.8%) to scientific vocabulary
Repository
Reproducible copy of my PhD thesis. Linked to the Open Science Framework.
Basic Info
- Host: GitHub
- Owner: ninadicara
- License: agpl-3.0
- Language: TeX
- Default Branch: main
- Homepage: https://doi.org/10.17605/OSF.IO/HYD9G
- Size: 2.7 MB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
Mental health data science in rich longitudinal cohort studies
This repository contains the code used to produce my thesis. The final archived copy can be found here.
My thesis was written in R Markdown and exports to a PDF file that conforms to the University of Bristol's thesis requirements. It was produced using the bristolthesis package written by Matthew Lee, which is a modified version of thesisdown.
This repository contains all of the markdown code that my thesis is produced with.
If the data folder is added to this repository then it is possible to reproduce all analyses, graphs and tables.
Please feel free to get in touch with me via GitHub if you would like more information about applying to the ALSPAC birth cohort study for this information.
Owner
- Name: Nina
- Login: ninadicara
- Kind: user
- Company: University of Bristol
- Website: https://ninadicara.co.uk
- Twitter: ninadicara
- Repositories: 3
- Profile: https://github.com/ninadicara
Researcher in mental health data science.
Citation (CITATION.cff)
# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!
cff-version: 1.2.0
title: >-
Mental health data science in rich longitudinal cohort
studies
message: >-
If you use this software, please cite it using the
metadata from this file.
type: software
authors:
- given-names: Nina H.
family-names: Di Cara
email: nina.dicara@bristol.ac.uk
identifiers:
- type: doi
value: 10.17605/OSF.IO/HYD9G
description: Online Supplementary Materials
repository-code: 'https://github.com/ninadicara/PhD-thesis'
repository-artifact: >-
https://research-information.bris.ac.uk/en/studentTheses/mental-health-data-science-in-rich-longitudinal-cohort-studies
license: GPL-3.0
date-released: '2022-09-27'