My title
Paper Template
This is a template for the course assignment (20% of 7C2-CT module). You can reuse it and either submit a pull request or send the .qmd
file to the lecturer. The paper should be between 900 and 1,100 words (excluding references).
Important:
- Use cases (UC01-UC14) must be pre-assigned by the lecturer on a first-come, first-served basis
- Dataset selections must be discussed with and approved by the lecturer. UC15 is the only use case that can be assigned to multiple students
For more information about Quarto and its features, please visit: https://quarto.org/docs/guide/
You can embed images in your document in several ways:
- Using external URLs (be careful with licensing), such as https://upload.wikimedia.org/wikipedia/commons/0/0c/Openscience.svg:
- Using local files (when submitting via pull request): You have two options for including images:
- Place them in the
assignments
folder alongside your.qmd
file:
- Create a dedicated images folder for your assignment (e.g.,
assignments/your-name-images/
) and reference them:
Note: When adding images via pull request:
- Use relative paths appropriate to your chosen folder structure
- Ensure you have rights to use and share the images
- Prefer open licensed images (Creative Commons, Public Domain)
- Keep image file sizes reasonable
To cite a reference, use the @
symbol followed by the citation key. For example: This is discussed in Berners-Lee (2006) (@berners-leeLinkedData2006
) or (Wilkinson et al., 2016) ([@wilkinsonFAIRGuidingPrinciples2016]
). Citation keys can be found in the references folder of the course repository. Add your own references to the file or create a dedicated .bib
file.
You can include code snippets to show data structure or analysis. For example:
{
"dataset": {
"title": "Example Open Dataset",
"publisher": "Open Data Institution",
"updated": "2024-02-17",
"license": "CC-BY-4.0",
"distributions": [
{
"format": "CSV",
"downloadURL": "https://example.org/data.csv",
"mediaType": "text/csv"
},
{
"format": "JSON",
"downloadURL": "https://example.org/data.json",
"mediaType": "application/json"
}
]
}
}
Introduction
- Specify your assigned use case number (all)
- Identify your approved dataset(s) (UC15)
- Explain the selection rationale and significance (UC15)
- State your research objectives (UC15)
- Introduce the context and significance of your analysis (UC01-UC14)
Background
For use case analysis:
- Relevant policies and frameworks
- Current state of practice
- Key stakeholders
For dataset analysis:
- Dataset provenance and context
- Data provider background
- Current applications
Methodology
For use case analysis:
- Analysis framework
- Comparison criteria
- Information sources
For dataset analysis:
- Data processing steps
- Analysis methods
Discussion
- Implications for stakeholders
- Best practices identified
- Recommendations
- Future opportunities
Conclusion
Summarise key findings and their significance for open data practices.