Data Sharing Template Repository

This is a general template demonstrating the pattern recommended in the publication "Simple and Efficient Data Dissemination for Individual Labs" by the Payne lab at Brigham Young University. This repository can be downloaded as a template for data sharing and analysis.

Publication

The publication can be accessed at PubMed here (https://pubmed.ncbi.nlm.nih.gov/32790999/).

Repository contents

This repository contains all information, data and code necessary to replicate the analyses in the manuscript. The file names are intentionally self explanatory, but are briefly reviewed below.

Required

  • ~/data - a folder that contains data files
  • load_data.py - a python script containing all code required for parsing data files and loading them into data frames.
  • make_figure1.ipynb - a jupyter notebook that contains all code used in making figure 1 for the manuscript

Suggested

  • data.md explains how data files in the repository relate to the supplemental tables from the manuscript
  • data_descriptor.ipynb demonstrates how to use the methods in load_data.py, and describes the resulting dataframes.
  • LICENSE.md
  • README.md

Contact

This package is maintained by the Payne lab at Brigham Young University, https://payne.byu.edu