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Your one-stop tool for curating and submitting SPARC datasets
By SPARC investigators, for SPARC investigators

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• About
• Downloading SODA
• Using SODA
• Full Documentation
• Issues and Feedback
• Using the Source Code
• License
• Privacy Policy
• Acknowledgements

SODA (Software to Organize Data Automatically) for SPARC is a desktop software intended to facilitate the data organization and submission process for SPARC investigators and thus promote the FAIR Data Principles. The idea for a computer software that assists researchers in curating and sharing their data originated during the SPARC Hackathon in December 2018, where it won the Public's Choice Award, before receiving support from the National Institutes of Health (NIH) for further development. SODA for SPARC is designed such that users can accomplish all the requirements to submit a SPARC dataset rapidly through a single interface. Moreover, requirements have been broken down into easy-to-perform steps and automation has been integrated to reduce users' effort to a bare minimum during each step, often to just a few clicks.

A screenshot of the user interface of SODA.

SODA is distributed as an easy-to-install application for Windows, Mac OS, and Ubuntu. Follow the instructions provided in our dedicated documentation to download the version suitable for your operating system.

All our releases are also accessible in the releases tab.

Click on the image below and watch our video to quickly familiarize yourself with the user interface of SODA:

Please see our suggested workflow for preparing and submitting your SPARC dataset rapidly and accurately with SODA.

Although we would highly encourage you to use SODA for the entire organization and submission process of your dataset, SODA is designed such that you are not bound to using the software for all of the steps: you can perform desired steps from SODA and others outside.

See the documentation for our full documentation, including details about each features and how to use them as well as guidance for using and contributing to our source code.

To report any issues with the software, suggest improvements, or request a new feature, please open a new issue via the Issues tab. Provide adequate information (operating system, steps leading to error, screenshots) so we can help you efficiently. Alternatively, you could also use our feedback form. The feedback form is also accessible directly in the user interface of SODA.

A screenshot of our feedback form in the user interface of SODA.

If you want to contribute, modify SODA to better suit your needs, or compile it for an operating system not mentioned above, please follow the instructions provided in the developer manual of our documentation.

SODA is distributed under the MIT License. See LICENSE for more information.

SODA uses Google Analytics to track user interactions with the application. Tracking is anonymous and no identifying personal information is collected. Tracking is implemented as part of our agreement with the SPARC program to report usage statistics for SODA. Tracking is also used to indentify errors and subsequently improve user experience. To learn more about what is tracked and how we use Google Analytics within SODA, please read our Privacy Policy.

• NIH SPARC Initiative
• Blackfynn Team
• SPARC Dataset Curation Team
• Our beta testers, including:
  • Natalia Biscola (Icahn School of Medicine at Mount Sinai)
  • John Dawson (UC Davis)
  • Clara Huesing (Pennington Biomedical Research Center)
  • Scott John (UCLA)
  • Muriel Larauche (Vatche and Tamar Manoukian Division of Digestive Diseases, Department of Medicine, UCLA)
  • Madelyn Lorenz (Washington University in St. Louis)
  • Kun-Han Lu (Weldon School of Biomedical Engineering, Purdue University)
  • Alison Moss (Thomas Jefferson University)
  • Anna Rietsch (Cleveland Clinic, Cleveland OH)
  • Joseph Sassoon (Integrated Medical Systems Laboratory - New York Institute of Technology)

• Bhavesh Patel (California Medical Innovations Institute)
• Tram Ngo (California Medical Innovations Institute)
• Sanjay Soundarajan (California Medical Innovations Institute)
• Parya Aghasafari (UC Davis)
• Karl Helmer (Harvard Medical School/Massachusetts General Hospital)