worldbank/data-science-for-government

Training materials for data science training in coordination with AIMS and NISR in Rwanda # Project Template The template is a standardized, but flexible *project* and *documentation* structure of folders and files for sharing your data science work. Inspired by literate programming, maintained by the Development Data Group and built as GitHub template repository, the template contains: - **README**, **CODE_OF_CONDUCT**, **CONTRIBUTING** templates > README files are important and often neglected. The files should inform anyone about the first steps to use, learn and contribute to your project. - **CITATION.cff** > Embracing CFF aligns with best practices for reproducible research and software development. By adhering to established standards for documenting project dependencies and citations, we demonstrate our commitment to quality, transparency, and integrity in our work. - **LICENSE** > The LICENSE is a document that determines what others can and cannot do with contents of the repository. If no license is present, no one has permission to use and/or modify your code. The template is licensed under the **Mozilla Public License**. And so will projects generated from it. For further information, see also this discussion. - **docs/** > Documentation is often never prioritized until last minute. The template aims to revert the malpractice by setting up the documentation as an integral part, inspired by literate programming. With the power of Jupyter Book, data practitioners have a way to share Jupyter notebooks on GitHub Pages in a standardized and effortless way. - **docs/bibliography.bib** > A `bibliography` using the BibTeX format. Use this file to include and cite your project's bibliography. See also Citations and bibliographies. - **data/** > Placeholder folder for data. Data is immutable. By default, the data folder is present but ignored from version control, in order to prevent files of being mistakenly versioned in the code repository. - **src/** > Placeholder folder for source code. If Python, it is recommended the packag …