[BIC-announce] Fwd: DataLad Seminar Tomorrow with open registration free to all participants (fwd)

[Paule-Joanne Toussaint]

This is a bit last minute, but below is the information about a stimulating event for the technically inclined. There is no fee, but registration is required.

Please join!

Best,
Paule-J

---------- Forwarded message ---------
From: Morris Riedel - HI 
Date: Thu, May 27, 2021 at 12:14 PM
Subject: DataLad Seminar Tomorrow with open registration free to all
participants
To: pjtoussaint


Here the event I mentioned, if you can circulate it, only registration is
required below:

 

RAISE CoE Seminar: Git-based Data Management with the Open-source DataLad Tool

Friday, May 28, 2021

10:00am-12:00pm

- virtually -

CoE RAISE organizes a seminar titled “Git-based Data Management with the
Open-source DataLad Tool” from 10:00 - 12:00 CEST on May 28th, 2021.

The event, which is virtually hosted by project partners from the University
of Iceland, focus on the need for HPC & AI application researchers to perform
proper data management with the git-based open-source tool named DataLad.

The seminar demonstrates how CoE RAISE and other computational-intensive and
data-intensive communities can benefit from the free DataLad tool. It enables
researchers to discover data since it has built-in support for metadata
extraction and search. HPC & AI researchers often consume data in different
ways requiring direct access to individual files, especially when using a few
files from some large datasets for analysis. DataLad enables that and supports
also sharing datasets with the public or just some colleagues on platforms
without the need for a central service for publishing datasets. Version
control systems such as GIT are a de-facto standard for open-source software
development. A similar level of tooling enables the DataLad tool for data
management and analysis. HPC & AI researchers benefit from comprehensively
track the exact state of any analysis inputs that produced results across the
entire lifetime of a project and multiple datasets, enabling reproducibility.

Agenda:
Welcome & CoE RAISE Use Case Foundations and Requirements for Data Management
Prof. Dr.-Ing. Morris Riedel, ~20 Min

Introduction to the DataLad Data Management Approach
Dr. Michael Hanke, ~40 Min

Short Comfort Break & Discussions ~10 Min

Using DataLad in Data-intensive Neuroscience Research & Lessons Learned
Dr. Kaustubh Patil, ~20 Min

Q & A Session & Next Seminar Sneak Preview ~30 Min

Registration Link:
https://eu01web.zoom.us/meeting/register/u5Ekf-ygqTwvGdVJkhw9wcwVOVHHKs_4UMZz
 

 

------------------------------------

Prof. Dr. - Ing. Morris Riedel

www.morrisriedel.de

 

Full Professor

School of Engineering and Natural Sciences

University of Iceland, Iceland

EuroHPC JU Governing Board Member Iceland

 

Head of Research Group

High Productivity Data Processing

Federated Systems and Data Division

Jülich Supercomputing Centre, Germany