RDM and HPC - Challenge or Chance?

The consortium "AG-FDM" within the HPC.nrw-project organizes a regular online-seminar discussing research data management (RDM) strategies in the context of high-performance-computing (HPC). The series will cover specific RDM-solutions for the various scientific disciplines with topics generated through the interest of the participants.

We welcome you to our Christmas seminar on December 10th, 2024 at 10:00 a.m. The program will include information about the FDM services available statewide.
Participation is free of charge, no registration is required and access is provided via webex.

Interested participants may register to our mailing list.

Link to the event

Schedule

Date: December 10, 2024
Language: English

Program:

  • 10:00 – 10:20  ElabFTW, Nicole Parks (RWTH)
  • 10:25 – 10:45  GITLab, Miriam Petry (RWTH)
  • 10:50 – 11:00  GigaMove, Ketli Cenollari (RWTH)
  • 11:05 – 11:15  Sciebo, Holger Angenent (Uni Münster)

Future seminars

The seminar takes place on the second tuesday of each month.
Save the date for our upcoming seminars!

  • Christmas seminar on December 10th, 2024 at 10:00 a.m

Missed the last seminar?

Find presentations and recordings here

Initial Session - Introduction to RDM

All videos are available on YouTube

Click here to access the playlist of all recordings of the RDM presentations.

Coscine (HPC NRW FDM Seminar Series)

Presentation (pdf)
by Katja Jansen and Kseniia Dukkart

ioChem-BD (HPC.NRW FDM Seminar Series)

Presentation A (pdf), presentation B (pdf), Notebooks (archive)

Presentation by Carles Bo, Moises Álvarez and Diego Garay

DataLad - A user's view (HPC.NRW RDM Seminar Series)

Präsentation (pdf)
by Justus Kuhlmann (University of Münster)

RDM and HPC: Of Galaxies And Genes (HPC.NRW RDM Seminar Series)

Presentation by Florian Willems

Coscine - What was, what is and what will be (HPC.NRW RDM Seminar Series)

Presentation by Katja Jansen (RWTH Aachen University)

Handling HPC data within the Cluster of Excellence RESOLV

Presentation by Martin Urban (TUD) und Lars Schumann (RUB)

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