Reproducible Research Practices: Resources

• Recommended Data Repositories 
• Figshare
• Dryad

• Documenting the Scientific workflow:
  • Jupyter Notebook
• Documenting Your Code:
  • Python
    • Sphinx
    • Doctest 
    • Numpydoc
  • R
    • R Markdown
    • Kitr

• Latex 
• OverLeaf 

• Coding​
  • Python for general programming
  • The R Project for statistical computing
• Data Analysis:
  • Pandas - Python Data Analysis Library
  • Matplotlib - Plotting library in Python
• Data processing and scientific computing
  • Scikit-Learn - Machine learning in Python
  • NumPy and SciPy - open source Python libraries for scientific computing 

• Software hosting sites:
  • GitHub
  • Read The Docs
  • Bitbucket
• Citing and archiving your research software:
  • Zenodo

Manage your project and share your files:

• Open Science Framework