workshop-project-organization

Project Organization and Data Management

https://github.com/izaakm/workshop-project-organization

Science Score: 67.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 3 DOI reference(s) in README
  • Academic publication links
    Links to: plos.org
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (6.1%) to scientific vocabulary
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Project Organization and Data Management

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  • Host: GitHub
  • Owner: izaakm
  • License: cc0-1.0
  • Default Branch: main
  • Size: 77.1 KB
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Created about 2 years ago · Last pushed almost 2 years ago
Metadata Files
Readme License Citation

README.md

Project Organization and Data Management

The goal of this workshop is to:

  • address day-to-day organization challenges associated with computational projects
  • propose a reasonable strategy for organizing computational projects

This workshop pulls heavily from the ideas presented by Noble (2009).

Unfortunately, for students who are preparing for a research career, [the typical bioinformatics and computational biology] curriculum fails to address many of the day-to-day organizational challenges associated with performing computational experiments....

The purpose of [this workshop!] is to describe one good strategy for carrying out computational experiments. I will not describe profound issues such as how to formulate hypotheses, design experiments, or draw conclusions. Rather, I will focus on relatively mundane issues such as organizing files and directories and documenting progress. These issues are important because poor organizational choices can lead to significantly slower research progress. I do not claim that the strategies I outline here are optimal. (Noble, 2009)

Topics

  1. Overview
  2. Getting started
  3. A simple example
  4. Documenting your project
  5. Adding complexity
  6. Automate it
  7. Extra features

Acknowledgements

References

  1. Noble WS (2009) A Quick Guide to Organizing Computational Biology Projects. PLOS Computational Biology 5(7): e1000424. https://doi.org/10.1371/journal.pcbi.1000424

Owner

  • Name: Izaak M.
  • Login: izaakm
  • Kind: user
  • Company: Oak Ridge National Laboratory

Postdoc in the Computational and Predictive Biology group at ORNL.

Citation (CITATION.cff)

# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!

cff-version: 1.2.0
title: Project Organization & Data Management
authors:
  - given-names: John
    family-names: Miller
    affiliation: 'University of Tennessee, Knoxville'
    orcid: 'https://orcid.org/0000-0002-6114-5401'
repository-code: 'https://github.com/izaakm/workshop-project-organization'
license: CC-BY-1.0
date-released: '2024-03-01'

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