The document discusses the Helix Nebula Science Cloud and its funding under the H2020 framework, emphasizing the importance of sharing big data in high-energy physics. It introduces the FAIR data principles which state that data should be findable, accessible, interoperable, and reusable to enhance collaboration and research. Additionally, it highlights the development of a digital ecosystem through Data Commons that fosters the sharing of digital assets among research communities.

2. Sharing big data
15 June 2017
Bob Jones
CERN
Bob.Jones <at> cern.ch
Helix Nebula – The Science Cloud
Helix Nebula – The Science Cloud with Grant Agreement 687614 is a Pre-Commercial Procurement Action
funded by H2020 Framework Programme

3. Accelerating Science and Innovation

4. Data in High-Energy Physics
Based on DPHEP Study Group (2009). Data Preservation in High Energy Physics. http://arxiv.org/abs/0912.0255
Patricia Herterich

5. 5EPFL & SDSC visit 2017-03-24
CERN Open Data Portal
• 2015
• 40 TB of 2010 data
• 2016
• 320 TB of 2011 data
• Curation, release of
• Simulated data (MC)
• Trigger information
• Configuration files
http://github.com/cernopendata

6. Barend Mons, Leiden University Medical Center

7. In the FAIR Data approach, data should be:
• Findable – Easy to find by both humans and computer systems and
based on mandatory description of the metadata that allow the
discovery of interesting datasets
• Accessible – Stored for long term such that they can be easily
accessed and/or downloaded with well-defined license and access
conditions (Open Access when possible), whether at the level of
metadata, or at the level of the actual data content
• Interoperable – Ready to be combined with other datasets by
humans as well as computer systems
• Reusable – Ready to be used for future research and to be processed
further using computational methods.
https://www.dtls.nl/fair-data/
Peter Doorn, Director DANShttps://www.force11.org/group/fairgroup/fairprinciples

8. 27/06/2017

9. The Hybrid Cloud Model
Brings together
• research organisations,
• data providers,
• publicly funded e-
infrastructures,
• commercial cloud service
providers
In a hybrid cloud with
procurement and governance
approaches suitable for the
dynamic cloud market In-house
27/06/2017

10. Data Commons is a Platform that fosters development of a digital Ecosystem
Treats products of research – data, software, methods, papers, training
materials etc. as a digital asset (object)
Digital objects need to conform to FAIR principles
- Findable, Accessible, Interoperable, Reproducible
Digital objects exist in a shared virtual space (initial)
- Find, Deposit, Manage, Share and Reuse: digital assets
Enables interactions between Producers and Consumers of digital assets
Gives currency to digital assets and the people who develop and support
them
Philip E. Bourne, Ph.D. FACMI
Associate Director for Data Science
National Institutes of Health, USA

11. Data Commons Pilot – connecting the pieces
Co-location of large and/or highly
utilized NIH funded data on the cloud
+ commonly used tools for analyzing
and sharing digital objects
to create an interoperable resource for
the research community.
Investigators will be able to collaborate
and share digital objects within this
environment and connect with others

12. Impact
Biggest issuer of DOIs for software in the world
Reference material for publications
F1000, Wiley, eLife, PLoS, Elsevier, Nature, etc
Recommended by EC and National programmes
https://www.zenodo.org/

13. Summary
Sharing big data needs technology, processes
& organisation, people
FAIR principles represent best practice
Findable, Accessible, Interoperable, Reusable
Research communities around the world are
developing science commons to accelerate
the sharing of digital assets
27/06/2017