Principal Investigators: Zhiming Zhao (University of Amsterdam, z.zhao@uva.nl)

Shepherds: Andrea Manzi (EGI Foundation, andrea.manzi@egi.eu)

Entry in the community requirement database: ENVRI-FAIR

About the pilot

Description of supported work

..The project goal is to deploy a DevOps environment, with necessary capacity of Cloud Infrastructures and services for testing ENVRI-FAIR development. The project aims to automate the testing/integration of the FAIR data services developed by the teams in ENVRI-FAIR.

Objectives

• Automated Cloud execution for data workflow : Demonstrate it in the VREs or in ENVRI RIs (e.g., LifeWatch or others).

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General

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• It will help the ENVRI community to learn the EOSC services, and build practices for the other similar use cases
• Continuously testing and integration for ENVRI services: get familiar with the DevOps/Agile methodologies for software development, testing and operation
  
• Notebook based environment for FAIR data access and processing: : 1) provide the Jupyter service to  users, with examples to access data sets and models, 2) users can perform customised experiments using the notebook services, access data, store the data, publish and share the results with the others.
  

Team

Technical Plan

The full technical plan can be found here: 

EOSC services and providers

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