/bids-starter-kit

Collection of tutorials, wikis, and templates to get you started with creating BIDS compliant datasets

Primary LanguageMATLAB

Welcome to the BIDS Starter Kit

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How to get started with the Brain Imaging Data Structure
A community-curated collection of tutorials, wikis, and templates to get you started with creating BIDS compliant datasets.

Click to view the intro video!

BIDS Starter Kit Video

Table of Contents

Project Summary

Neuroimaging scans can be costly in both time and money to acquire. This creates a barrier for many underfunded researchers without access to the required equipment. Responsible data sharing can level the playing field, but the many different specifications of these acquired images cause portability issues between different labs and scientists. BIDS (Brain Imaging Data Structure) is a framework for organizing data that standardizes file organization and dataset description between different researchers.

Philosophy

The most important part of BIDS are the users: if more people use it, more data will be shared and the more powerful it will become. We want to make it easy to learn and more adopted. Since BIDS is platform independent and still an adapting, growing tool, the greater the community, the better it will be.

Benefits

For the public good

  • Lowers scientific waste
  • Gives opportunity to less-funded researchers
  • Improves efficiency
  • Spurs innovation

For yourself

  • You are likely the future user of the data and data analysis pipelines you’ve developed
  • Enables and simplifies collaboration
  • Reviewers and funding agencies like to see reproducible results
  • Open-science based funding opportunities and awards available (i.e. OHBM Replication Award, Mozilla Open Science Fellowship, Google Summer of Code, etc.)

Users

BIDS is for everyone! Programming is not required, it simply makes some processes more efficient. All users can take part in the benefits such as organized data, reproducible research, and data sharing. users

Contributing

If you have any questions, suggestions, etc please open an issue or make your own addition to the wiki or do a pull request to the code.

Acknowledgements

incf gsoc