[ONLINE] Data Management with iRODS and Compute @SURF




Would you want to practice reproducible research in HPC and preserve your data for the future?

Research Data Management is essential in effective and reproducible science. Due to ever increasing data volumes and complexity, researchers need modern tools to manage all stages of the data life cycle. Here we will use iRODS, a data management framework, to incorporate data management principles in compute pipelines. 


In this course you will:

- Learn about the the iRODS data management framework and icommands
- Understand how to incorporate provenance in a compute workflow
- Know about FAIR in data processing workflows


- Everyone interested in learning advanced data management tools for compute and data processing workflows


- Basic knowledge of Linux and shell commands

You should have

- Your own laptop with an up-to-date browser and a terminal emulator. The use of the operating systems Linux and macOS is preferred, but not mandatory. For Windows users we recommend to download MobaXterm (portable version) as terminal emulator.



If the course gets fully booked, no more registrations are accepted through this website. However, you can be included in the waiting list: for that, please send an email to training@surfsara.nl and you'll be informed when a place becomes available.

    • 9:00 AM 9:15 AM
      Welcome and introduction 15m
    • 9:15 AM 10:00 AM
      Data Management, FAIR and iRODS 45m
    • 10:00 AM 11:00 AM
      Hands-on: Data Handling with iRODS clients: icommands, python api, webdav 1h
    • 11:00 AM 11:15 AM
      Coffee break 15m
    • 11:15 AM 12:00 PM
      The HPC System, Compute Workflows and iRODS 45m
    • 12:00 PM 1:00 PM
      Lunch 1h
    • 1:00 PM 2:00 PM
      Hands-on: A Compute Workflow part 1 1h
    • 2:00 PM 3:00 PM
      Hands-on: A Compute Workflow part 2 1h
    • 3:00 PM 3:15 PM
      Coffee break 15m
    • 3:15 PM 4:15 PM
      Hands-on: Automating data handling with iRODS 1h
    • 4:15 PM 4:30 PM
      Wrap up and Evaluation 15m