GitHub and data science resources

ADLM GitHub

Free, open-source resources for laboratory data science. Access competition datasets, code examples, educational materials, and tools.

Visit ADLM on GitHub

What is GitHub?

GitHub is the world’s largest platform for sharing code and collaborating on software projects. Anyone can view, copy, and build upon shared resources.

ADLM uses GitHub to share datasets, code examples, and educational materials with the global laboratory community. You don’t need to be an ADLM member to use these resources on GitHub.  

Our repositories

Explore our open-source projects.

ADLM-2025-Data-Challenge (Closed Competition)

LabDocs Unlocked: Build an AI tool for extracting information from laboratory documentation. This competition challenges participants to create solutions that help laboratory professionals quickly find information in complex document stores.

• Includes 3.5GB of synthetic lab protocols for training and testing
• Open to all participants (no ADLM membership required)
• Winners present at ADLM events
  
  View repository → https://github.com/myADLM/ADLM-2025-Data-Challenge

Laboratory-Data-Science-Resources (Educational Collection)

A curated collection of resources for applying data science in laboratory medicine. This repository serves as a starting point for laboratorians interested in learning data science concepts and techniques.

• Tutorials and code examples
• Reading lists and learning paths
• Links to key tools and datasets
  
  View repository → https://github.com/myADLM/Laboratory-Data-Science-Resources

adlm-fairlabs-competition (Past Competition - 2024)

FairLabs Challenge: Analyze and visualize fairness in peripartum urine drug screening. This repository contains real de-identified clinical data and the winning team solutions from the 2024 competition.

• Real-world clinical dataset
• Winning solutions and approaches
• Tools for monitoring fairness in laboratory testing
  
  View repository → https://github.com/myADLM/adlm-fairlabs-competition

For ADLM members

As an ADLM member, GitHub gives you hands-on resources to complement your education and connect with fellow laboratorians.

• Enter data science competitions and showcase your skills
• Access datasets to practice techniques learned in certificate courses
• Study winning solutions from past challenges
• Contribute code and earn recognition in the community
• Connect with the Data Science & Informatics Division

For non-members

You don’t need to be a member to benefit from ADLM’s open-source resources. We believe advancing laboratory data science helps everyone.

• Download datasets for research and learning
• Fork repositories and build on the work
• Study real-world examples of lab data science applications
• Enter open competitions (no membership required)
• Discover what ADLM offers if you’re considering membership.

How to get started

1. New to GitHub? Visit our page: Go to github.com/myADLM to see all our repositories.
2. Choose a repository: Click on any repository to explore its contents and README documentation.
3. Download or fork: Download files directly, or create a free GitHub account to fork and modify.
4. Start building: Use the datasets and code to learn, experiment, or enter competitions!

Frequently asked questions

Do I need a GitHub account to access ADLM resources?

No. You can view and download all public repositories without an account. You only need a free GitHub account if you want to fork a repository (create your own copy) or submit to competitions.

Do I need to be an ADLM member?

No. All our GitHub resources are freely available to everyone. That said, ADLM members get additional benefits like access to the Artery community and a discounted rate for attending symposiums.

Can I use these resources for my own research or projects?

Yes! Our repositories are published under open licenses that allow you to use, modify, and build upon the work. Check each repository’s LICENSE file for specific terms.

How do I enter a data science competition?

Visit the competition repository (like ADLM-2025-Data-Challenge), read the README for instructions, fork the repo to your own account, build your solution, and submit a pull request before the deadline. Stay tuned for the next competition. 

I’m new to coding. Is GitHub for me?

Yes! Our Laboratory-Data-Science-Resources repository includes beginner-friendly tutorials and learning paths. Start there before tackling competitions.

How can I contribute?

We welcome contributions! You can submit issues (bug reports or suggestions), open pull requests with improvements, or contact us at [email protected] if you want to get more involved.

Get involved

• Visit GitHub: github.com/myADLM
• Join the community: The Artery
• Learn more: All ADLM data challenges
• Contact us: [email protected]