workshop-computational-reproducibility

Material for the workshop 'Best Practices for Writing Reproducible Code'

https://github.com/utrechtuniversity/workshop-computational-reproducibility

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Repository

Material for the workshop 'Best Practices for Writing Reproducible Code'

Basic Info
Statistics
  • Stars: 11
  • Watchers: 5
  • Forks: 13
  • Open Issues: 19
  • Releases: 1
Created about 7 years ago · Last pushed 8 months ago
Metadata Files
Readme License Citation

README.md

Best Practices for Writing Reproducible Code

If you are looking at a GitHub README, please note that the course book and the slides are available via the course website.

Ensuring your research is reproducible can be a difficult task. Scripting your analysis is a start, but this in and of itself is no guarantee that you, or someone else, can faithfully repeat your work at a later stage. In this workshop, we will help you not only to make your work reproducible, but also to increase the efficiency of your workflow. We do this by teaching you a few good programming habits: how to set up a good project structure, how to code and comment well, and how to document your code so that it can be used by others. We will furthermore introduce you to Git and GitHub, which are essential tools in managing and publishing code. Reproducibility requires extra effort, but we will focus on teaching you skills that will save you much more time in the long run than they cost to implement.

Preparation

If you are attending this workshop, you can prepare a few things so we can hit the ground running! We have more details on this page.

Schedule

Day 1

| Time | Activity | |-------:|----------| | 9:00 | Welcome & introduction)| | 9:30 | Project setup & version control with git | | 10:45 | Questions & discussion | | 11:00 | Break | | 11:15 | Code quality | | 12:45 | Questions & discussion | | 13:00 | End |

Day 2

| Time | Activity | |-------:|----------| | 9:00 | Code quality discussion | | 9:15 | Documentation | | 10:45 | Questions & discussion | | 11:00 | Break | | 11:15 | Accessibility & reproducibility | | 12:15 | Reproduction of projects | | 13:00 | End |

External resources, recommended reading, and developer inspiration

License

All workshop material is licensed under a Creative Commons Attribution 4.0 International License. View the license here.

History and acknowledgements

This course was developed at Utrecht University, supported by the Open Science Community Utrecht (OSCU) and Research Data Management (RDM) support.

Workshop development is being coordinated by Neha Moopen, and the course received contributions from (in alphabetical order):

Owner

  • Name: Utrecht University
  • Login: UtrechtUniversity
  • Kind: organization
  • Email: info.rdm@uu.nl
  • Location: Utrecht, The Netherlands

The central place for managing code and software for Utrecht University researchers and employees

Citation (CITATION.cff)

cff-version: 1.2.0
title: Workshop Best Practices for Writing Reproducible Code
message: 'If you reuse our materials, please cite us!'
type: software
authors:
  - given-names: Research Data Management Support
    affiliation: Utrecht University
    email: info.rdm@uu.nl
identifiers:
  - type: doi
    value: 10.5281/zenodo.8167841
    description: The concept DOI for the collection of these materials.
repository-code: >-
  https://github.com/UtrechtUniversity/workshop-computational-reproducibility
url: 'https://uu.nl/rdm'
abstract: >
  This repository contains the materials for the two-day
  workshop 'Best Practices in Writing Reproducible Code',
  organized by Research Data Management Support at Utrecht
  University, the Netherlands.
keywords:
  - reproducibility
  - open science
  - programming
  - dependency
  - documentation
  - version control
  - reusability
  - robustness
  - workshop
license: CC-BY-4.0
version: 2023.07.21
date-released: '2023-07-21'

GitHub Events

Total
  • Issues event: 7
  • Watch event: 1
  • Delete event: 9
  • Issue comment event: 5
  • Push event: 71
  • Pull request review comment event: 28
  • Pull request review event: 17
  • Pull request event: 20
  • Create event: 9
Last Year
  • Issues event: 7
  • Watch event: 1
  • Delete event: 9
  • Issue comment event: 5
  • Push event: 71
  • Pull request review comment event: 28
  • Pull request review event: 17
  • Pull request event: 20
  • Create event: 9

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 53
  • Total pull requests: 35
  • Average time to close issues: over 1 year
  • Average time to close pull requests: 13 days
  • Total issue authors: 9
  • Total pull request authors: 7
  • Average comments per issue: 0.6
  • Average comments per pull request: 0.23
  • Merged pull requests: 27
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 6
  • Pull requests: 14
  • Average time to close issues: about 6 hours
  • Average time to close pull requests: 3 days
  • Issue authors: 3
  • Pull request authors: 3
  • Average comments per issue: 0.0
  • Average comments per pull request: 0.36
  • Merged pull requests: 10
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • bvreede (19)
  • nehamoopen (18)
  • chStaiger (6)
  • jelletreep (4)
  • laurensstoop (1)
  • javimangal (1)
  • jurra (1)
  • hanneoberman (1)
  • SanderKeulers (1)
Pull Request Authors
  • jelletreep (17)
  • chStaiger (9)
  • bvreede (5)
  • hanneoberman (3)
  • DorienHuijser (3)
  • parisa-zahedi (2)
  • nehamoopen (1)
Top Labels
Issue Labels
chapter: code quality (5) video (4) enhancement (3) chapter: preparation (2) chapter: project setup (2) chapter: reproducibility check (1) chapter: dependency management (1) chapter: project management (1) chapter: version control (1) bug (1) chapter: documentation (1)
Pull Request Labels

Dependencies

templates/R/mypackage/DESCRIPTION cran
  • knitr * suggests
  • rmarkdown * suggests
  • testthat >= 2.1.0 suggests