iBOTS
Research Data Management with DataLad
What is all this hype about databases, and how can I use them to make my analysis work simpler? In this workshop, you’ll build databases and query them in Python and SQL using DuckDB, store complex data in HDF5, and host it with Git and GitHub.
In this online, hands-on workshop, introduces DataLad, a powerful tool designed for organizing, tracking, and sharing scientific data. Built on the robust foundation of git and git-annex, DataLad combines version control for code with efficient handling of large data files, giving you complete control over your research workflow. You’ll gain practical experience using DataLad to structure your datasets, track changes over time, and maintain reproducibility throughout your research process. Finally, you’ll learn how to use open science platforms like GIN and the Open Science Framework to publish your DataLad-managed datasets.
Learning and participation
Topics
- Version Control: Tracking Data and Analysis Pipelines
- Data management: Best Practices for Structuring Datasets
- Collaboration: Sharing Data using Open Science Platforms
Intended participants
- Researchers and students from all universities are welcome.
- Participants of all skill levels and backgrounds are welcome.
Useful resources for preparation
Certification
Students who attend at least 75% of the course will receive a participation certificate by email at the end of the course.