ReproNim: Data Versioning and Transformation with DataLad
Instructor: Adina Wagner*, Institute of Neuroscience and Medicine (INM-7)
Why Should Data Be Versioned?
Simple DataLad Transform: Retrieve, Compute, Store Results
Create a Dataset
Using DataLad with Containers on the Dataset
Rerunning and Checking Analysis Differences
Submission due: Dec. 15th
Todos:
[ ] Pre-record your lecture (details to be provided separately) by September 15th/December 15th (depending on your 'session’; see syllabus);
[ ] Be available for your 1-hour question and answer period with the students on the Friday at 1pm EST/10am PST as indicated in the syllabus;
[ ] Provide 1-2 readings/watchings (~30 minutes) you would like to assign prior to your lecture;
[ ] Review the homework assignment generated by the TA team before distribution to the students;
[ ] (Optional) Attend the "virtual" workshop March 8-12, 2021.
Date: Jan 22nd 2020 Tentative schedule:
Submission due: Dec. 15th
Todos: