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Training module used during the 2019 International Incoherent Scatter Radar (ISR) School

Training module used during the 2019 International Incoherent Scatter Radar (ISR) School

Training module used during the 2019 International Incoherent Scatter Radar (ISR) School

This RDSA Data Manager provides two main products, an SDS policy manager, and a generic framework to define new policy managers.

First, an SDS policy manager, launched by the script in sdsmanager.py. This is an extensible policy manager, that is able to run a sequence of policies/rules on a list of SDS daily files. Its objective is to be easy to configure, through the configuration of the existing rules, and also easy to extend, with the addition of new policies.

Second, the RuleManager class, that is the base to the SDS manager, but is also able to transparently apply a sequence of policies to a collection of data items of different types, as long as the policies accept these types.

Materials for the tutorial that was given at the Linnaeus University, Växjö on December 04, 2019.

The tutorial was 2x90 minutes long.

Web page and abstract about the training is available at: https://lnu.se/mot-linneuniversitetet/aktuellt/kalender/2019/open-science-with-jupyter-and-zenodo/

Materials used during the EOSC Symposium, 2019

Updated presentation of the status of the EOSC-hub AAI framework.
This presentation was introduced during the WP8 task leaders meeting, 14 November 2019
Full agenda is available here: https://indico.egi.eu/indico/event/4865/

Training material used during the UND Training @MM

Training material used during UND Training @MM

Training material used during the UND Training @MM