Final course evaluation

Open Data Analysis project (60%)

Show us your work! We want the content of the course to be useful to your own workflows. We expect you to create a new GitHub repository containing an Open Data Analysis project. The project is not supposed to be a thesis, dissertation, or manuscript but a short project describing a specific analysis and everything a reader needs to reproduce it. This includes:

• Clear documentation of why the project exists and what the goals are
  • Briefly state the theoretical basis of the project and the main question being addressed
  • Describe the methods used to answer the question
  • Describe the dataset used (even if it is a simulation) and properly cite the source (even if it is data that you own)
  • Specify requirements in terms of the OS and R libraries
• Clear documentation of the project’s folder structure
  • Where to find scripts, functions (if any), reports, raw and processed data, outputs
• A modular workflow that can be reproducible by any human that reads code and can read your documentation
• A project report in RMarkdown or Sweave (4-page maximum including figures and bibliography) and its respective .bib file

We expect you to be a clear and open about your goals, methods, and results. Mostly, we expect you to be a good collaborator for yourself from the future and others in the present and the future.

Please create this repository in the GitHub organization https://github.com/CompMethods-ICTP-SAIFR-Serrapilheira You can transfer the repository to your own account if you wish to do that later.

We will check:

• reproducibility and modularity in your workflow
• good practices in writing code for your workflow
• clarity in documenting your workflow and explaining the analysis
• if your .Rmd or .rnw parses and you have a .bib file

Course repository (30%)

In addition to this, we expect you to have the GitHub repository containing the scripts used during the course. This is the repository you created on day #2 and kept updating throughout the course.

We will check:

1. if you have a coherent folder structure
2. if you have a complete and updated course repository
3. extra: if you made the map using tmap package in session 10.

Note: This repo should be the same that you already have, so don’t spend a lot of time taking care of the beauty of the commit history, just update and correct what you already have. Just tell us the name to know where to find it in your personal profile (not the organization’s).

The foo package (10%)

…or its equivalent, no matter how you named it or what the contents are. If it’s the simple function we used in the example, that’s ok. If it’s something more or something different that you wanted to add, that’s perfect.

Just let us know the name and URL of that repo in your personal profile.

• We will install them locally using remotes::install_github()

Grading method

We won’t be grading how good or bad the question you are addressing is. We will grade based on how you applied what you learned during the course according to the criteria listed under each item.