Based on their genomic data types and goals, this course will help learners find educational resources and tools to help them process and interpret data.

This course on AI for software development explores the use of AI large language models (ChatGPT, Bard, etc) and their potential benefits and challenges. Hands-on activities show the ways in which AI can speed up software development tasks and free up time for more creative and strategic work, maximizing benefits/efficiency while limiting harm.

This course covers the basics of creating documentation and tutorials to maximize the usability of informatics tools. It is meant for individuals developing tools for informatics.

This set of four mini courses helps leaders make strategic decisions, drive innovation, enhance efficiency, and foster a culture that embraces the transformative power of these technologies.

This course covers the pitfalls of informatics research and discusses best practices and tools to overcome the challenges of working with and managing multidisciplinary teams. It also covers guidelines to promote diversity and inclusion in your lab and research.

Baltimore Community Data Science Course at JHSPH through partnership with SOURCE

A gentle introduction to Leanpub

This course is designed to help researchers and investigators understand the key principles of data management from an ethics, privacy, security, usability and discoverability perspective.

Learn about the new NIH data sharing policy, places where you might want to share your particular kind of data, and how to deal with possible challenges associated with the policy.

This is a BioDIGS in the Classroom companion guide for the BioDIGS project. This particular activity guides students through an investigation of antimicrobial resistance in the BioDIGS samples using Galaxy.

Data management and sharing best practices for biomedical data handling folks

An introductory course for biomedical imaging data process

ITN course "Cancer Informatics Data Visualization in Practice" focusing on practicing best practices in data visualization

This is a BioDIGS in the Classroom companion guide for the BioDIGS project. This particular activity guides students through exploration of biosynthetic gene clusters in the BioDIGS samples using Galaxy

This is a BioDIGS in the Classroom companion guide for the BioDIGS project. This particular activity guides students through exploration and visualization of the soil characteristics data using R.

💎 Materials & Portal for the Genomics Education Modules (GEMs) Program at Fred Hutch

Open datasets for DataTrail learners to play and practice with

A guide for wet bench researchers about why considering computational and data science skills can be useful for all types of scientific work.

Getting started guide for using BioDIGS data in the classroom. Includes general information about BioDIGS.

The re-organized DataTrail curriculum https://www.datatrail.org/