PaNOSC Node

Introduction

The Photon and Neutron Open Science Cluster (PaNOSC – https://panosc.eu), comprising leading photon and neutron European research infrastructures, is committed to advancing Open Science and maximising the societal and scientific impact of publicly funded research. Recognising the critical importance of FAIR data, PaNOSC fully embraces the FAIR principles (Findable, Accessible, Interoperable, Reusable) as foundational values for the management and dissemination of scientific data.

The following PaNOSC facilities – ESRF (host), ALBA, DESY, ELETTRA, ESS, European XFEL, HZDR, ILL, MAX IV Laboratory, PSI, and Synchrotron Soleil – are building the PaNOSC Node to provide seamless access to scientific data from photon and neutron sources, tools, workflows, training and data services from the participating facilities. The PaNOSC Node will promote the use of services for a user-centric open data research commons, and foster collaboration between scientific domains through shared data, technologies, methods and insights.

The following services are currently registered with the PaNOSC Node with more to come. All services are covered by the Acceptable User Policy + User Access Policy. When using these services users accept to respect these policies.

Overview of PaNOSC Node Services

Helpdesk and User Forum

For help on specific issues please contact the PaNOSC Helpdesk or send an email to panosc-helpdesk@scc.kit.edu. For general questions and comments on the EOSC Federation and the Nodes including PaNOSC visit the EOSC Federation User Forum:

Status and Monitoring

The status of the PaNOSC node services is monitored on the PaNOSC Status page.

EU Node

Try out the first EOSC Node – the EU Node. Login with your institute credentials and take the EU Node for a spin!

User eXperience

Users of the PaNOSC Node will have access to: the PaN-Finder search engine for finding FAIR Data from all partner facilities, the PaN-Space user space for keeping track of data and PaN tasks, the VISA virtual research environment for processing PaN data by running workflows, Jupyter Notebooks, and graphical applications, the PaN-Training training platform. The following video gives users an idea of what to expect from the PaNOSC Node: