Research data management summer school

Learn how to implement research data management best practices at the EUDAT Summer School 2023 on 26-30 June 2023 in Kajaani, Finland.
This edition, organised in collaboration with the DICE project, aims to strengthen the skills required to excel in data management, getting the participants geared up to manage and process data throughout the full, research-data lifecycle (data discovery; data processing; data analysis; data preservation and publishing).

Experienced trainers will guide the students combining traditional theoretical lessons with hands-on sessions.

First deadline: 15 May, Final Deadline: 26 May. Interested applicants are encouraged to apply early as accommodation and travel support will be provided to a limited number of students and participants.

Courses are free of charge with the majority of accepted applicants standing to benefit from free partial board (breakfast, lunches and coffee breaks) and lodging (accommodation from 25-30 June 2023). Top applications will receive financial reimbursement towards travel costs (flights and/or train).

As an added bonus for students, all students that complete the EUDAT Summer School will be provided a certificate of completion and recommendation letter for the awarding of extra ECTS credits towards their academic programme in their home institution.

Two Tracks: Users and Providers

A new scope will be introduced in this edition of the EUDAT Summer School. For the first time, we are now offering a Providers Track for research or academic institution IT system administrators, community or data managers looking at providing research data services for their communities, in particular those that are interested in learning how to deploy EUDAT services.

The Users Track will continue providing early career or Bachelor, Masters, PhD or Postdoc programme students currently engaged in complex research environments with the latest best practices in research data management covering the complete research data lifecycle:

•     Data management practices and plans
•     Persistent Identifiers, which PID to use when?
•     How to publish, preserve and cite your research
•     Connecting data management service to HPC systems
•     How to handle sensitive data
•     Enabling complex workflows for analysis
•     Community cases and how the concepts were implemented in the past

Complementing the sessions are the visit to the LUMI supercomputer, and an informal "meet the experts, users and trainers" mixer. All participants are invited to the dinner reception to meet their fellow students and trainers. Extracurricular activities will also be offered.

Apply now https://eudat.eu/summer-schools/eudat-summer-school-2023

Best regards,
HPC User Support @ CINECA