Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

ILL & PANOSC- EOSC:Provision of Services and Expectations

17 views

Published on

This presentation was given as part of the EOSC Stakeholders Forum Scientific Community Workshop which gives the opportunity to prospective consumers and providers - from both the public and commercial sectors - to discuss needs and opportunities that should drive the definition of the EOSC service portfolio roadmap. This workshop aims to answer the following:

- What prospective needs and priorities do scientific communities have as consumers of the EOSC?
- How should EOSC facilitate the sharing of data, scientific outputs and services across national and organisational borders?

The workshop starts with a presentation of today’s state of play in federating resources and services to enable multi-disciplinary science and transnational access; it featured invited talks from representatives of digital infrastructures, research projects and communities and the long-tail of science. The workshop also involved representatives from both public and commercial organisations in their role as a service provider and service consumer. The workshop participants also took the opportunity to define a list of recommendations giving direction to the development and provisioning of the EOSC portfolio.

Published in: Science
  • Be the first to comment

  • Be the first to like this

ILL & PANOSC- EOSC:Provision of Services and Expectations

  1. 1. I N S T I T U T M A X V O N L A U E - P A U L L A N G E V I N 1I N S T I T U T M A X V O N L A U E - P A U L L A N G E V I N 1 Institut Laue Langevin & EOSC: provision of services and expectations 22nd Nov 2018 Jean-François Perrin (ILL IT Services) Proposal submitted to the INFRAEOSC-4-2018 call. Partners: ESRF (Coord), CERIC-ERIC, ELI, ESS, ILL, XFEL.EU, EGI Collaborations: GÉANT, EUDAT, national RIs
  2. 2. I N S T I T U T M A X V O N L A U E - P A U L L A N G E V I N 2 Scientific workflow ILL as example Scientists submit proposals 1200 / Yr Proposals are reviewed by external experts 50% get accepted beam time Experiment 850 / Yr Data archiving Open Data Data analysis Publication 650 / Yr Scientific workflow 28 instruments + 10 CRG
  3. 3. THE COMMUNITY • 50,000 users – Biology, Medicine, Materials, Chemistry, Nuclear Physics, Particle Physics, Cultural heritage, Geology … and industrial applications. • State of the art Large Scale Facilities – 5 ESFRI + 25 national RIs (PaNs) • Data policies implementing FAIR principles – PaNdata data policy • 10s of Petabytes of scientific data, curated and archived for 5-10+ years • PaNs manage and provide access to data from experiments across Europe 22nd Nov 2018 Jean-François Perrin (ILL IT Services)
  4. 4. What we provide Curated Open Data and metadata of quality served by data catalogues Reliable services dedicated to understanding and to further exploiting these data Technical and scientific support on these data and data services Our experience on FAIR data policies and FAIR implementation guidelines for Photon and Neutron science Our knowledge and understanding of our scientific community Our ability to promote FAIR culture amongst our community 22nd Nov 2018 Jean-François Perrin (ILL IT Services)
  5. 5. EOSC expectations Integration of our data catalogues into the EOSC data catalogue. Use of E-Infra IT services to deploy more specific services targeted at Photon and Neutron data type and users (and especially data scientists). Provisioning of models and solutions to bring small datasets to the compute resources and vice versa for very large datasets. Commonly defined service quality levels (Service Level Agreements) and if necessary upgrade the services to reach and maintain reliably this level of quality. Commonly defined usage metrics and the adoption of the necessary tools to collect and publish them. Harmonization of solutions for federated identity provisioning, authentication and authorization. Set up a technical and scientific support structure for handling data scientist (not necessarily facility users) requests. Promoting FAIR data culture and setting clear progress metrics. We need standardised, easy to adopt, well documented and reliable solutions. 22nd Nov 2018 Jean-François Perrin (ILL IT Services)

×