Overview
Topics
DataLad is a free and open source distributed data management system that keeps track of data, facilitates reproducibility & collaboration, and integrates with widely used infrastructure.
Target audience
Students or researchers at any level.
Prerequisites
Beneficial, but not required:
- First experience with the command-line
- First experience with plain-text files, for example Markdown
Suggested format
1-day hands-on workshop with live code-along demonstrations, interactive discussions, online quizzes and exercises.
Key learning objective
Implementing core concepts of good research data management: version control of code and data, provenance capture, effective managing of data analysis, publication, collaboration.
Past events
Reproducible Research Data Management with DataLad
“6th RDM-Workshop 2024 on Research Data Management in the Max Planck Society” at the Max Planck Institute for Astronomy, Heidelberg, Germany
DataLad
Research Data Management
Reproducibility
Version Control
Open Science
Talk
30 min Remote ~ 60 attendees
Data Management Workshop with DataLad
Max Planck Institute for Human Development
datalad
version control
RDM
reproducibility
open science
Course
8 hrs Remote ~ 15 attendees
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