Open Science is the practice of making scientific research output openly available in the form of data, software, publications, hardware and infrastructure. This promotes transparency, collaboration, and reproducibility in research, as well as wider access to knowledge for the public and to researchers.
Open Science represents an opportunity for the society at large and in particular for the physics community to improve the management and use of the large data sets produced in accelerator facilities around Europe and foster new collaborations. As a goal towards Open Science physics, the development of suited data workflow that could be shared among the physics European facilities would represent a major step forward. The data produced in these facilities should follow the F.A.I.R. principles (Findable, Accessible, Interoperable and Reusable) to ensure long term storage and possible future use by the community. The goal of the Advanced Training course is to convey basic principles and to demonstrate commonly used tools to achieve this goal successfully.
The Advanced Training will take place at castle Ebernburg (Germany) in the week 24.-29. November 2024.
An excursion is planned to visit the GSI Helmholtzzentrum für Schwerionenforschung and FAIR (Facility for Antiproton and Ion Research, that is presently under construction) in Darmstadt. The training participants have the opportunity to see the accelerator facility and various experiment setups as well as the FAIR construction site, in order to experience the inside of a nuclear physics research laboratory.
List of confirmed lecturers and topics:
- Antoine Lemasson (CNRS - GANIL) – Introduction to Open Science
- Florian Uhlig (GSI) – Tools for sustainable programming
- Ozlem Ozkan (Helmholtz Metadata Collaboration) – Metadata for beginners
- Clemens Lange (PSI) – Open Science in HEP
- Adrien Matta (LPC Caen - CNRS) and Jérémie Dudouet (IP2I Lyon - CNRS) – Hands-on data challenge
- Kathrin Göbel (GSI) – Open technology transfer
Local organizers: Andrew Mistry (GSI/FAIR), Christine Hornung (GSI), Gerhard Burau (HGS-HIRe)
The school is open to PhD students, final year master degree students, and early career Postdocs. 25-30 participants will be selected from the applications. There is a contingent of places reserved for HGS-HIRe participants.
This project has received funding from the European Union’s Horizon Europe Research and Innovation programme under Grant Agreement No 101057511 (EURO-LABS).
