GoodDocData -- A Template for Simple and Clear Documentation of Hackathon Analyses!

adapted from NCBI-Hackathons/GoodDoc with some tweaks for analysis-driven projects

instructions in italics can be deleted as sections are filled in

most fields are optional, Conclusion and Important Resources are required

Please cite our work -- here is the ICMJE Standard Citation:

...and a link to the DOI: You can make a free DOI with zenodo, synapse, figshare, or other resources

Awesome Logo (if applicable)

Website (if applicable)

Abstract : Summarize everything in a few sentences.

Introduction : What's the problem? Why should we solve it?

Methods : How did we go about solving it?

Results : What did we observe? Figures are great!

Conclusion/Discussion:

Please make sure you address ALL of the following:

1. What additional data would you like to have

2. What are the next rational steps?

3. What additional tools or pipelines will be needed for those steps?

4. What skills would additional collaborators ideally have?

Reproduction: How to reproduce the findings!

Docker

*The Docker image contains <R/jupyter> notebooks of all analyses and the dependencies to run them. Be sure to note if you need any special credentials to access data for these analyses, don't package restricted data in your containers!

Instructions for running the following notebooks: be sure to adjust these instructions as necessary! check out https://github.com/Sage-Bionetworks/nf-hackathon-2019 for example containers and instructions

1. docker pull <your dockerhub repo>/<this container> command to pull the image from the DockerHub
2. docker run <your dockerhub repo>/<this container> Run the docker image from the master shell script

Important Resources : primary data, github repository, Synapse project, dockerfile link etc.