KER - Open Data Platform

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Presentation transcript:

KER - Open Data Platform Matthew Viljoen WP4 Leader

EGI strategy and governance evolution and procurement Outline Introduction Analysis of result’s impact Innovation level and capacity Relevance of the key result Exploitability level EGI strategy and governance evolution and procurement

Introduction

Open Data Platform Features REQ1. Publication of open research data based on policies REQ2. Make large data sets available without transferring them completely REQ3. Enabling complex metadata queries REQ4. Integration of the open data access data management with community portals REQ5. Data identification, linking and citation REQ6. Enabling sharing of data between researchers under certain conditions originally requirements, now FEATURES of ODP at the beginning of the project, custom questionnaires were created and distributed to: Biological and Medical Sciences (Human Brain Project, MoBRAIN, BBMRI) Environmental and Earth Sciences(EMSO, LifeWatch) Agriculture(Agrodat.hu, agINFRA)Astronomy & Astrophysics (A&A)(CTA, LoFAR, CANFAR) – for results, see M4.1 requirements summarized here. 9 originally, we’ve concentrated on only 8 – no Long Term Preservation REQ7. Sharing and accessing data across federations REQ8. Long term data preservation Plan to use external services (e.g. EUDAT) REQ9. Data provenance

Open Data Platform architecture DOI Registrar (e.g. DataCite) Community Portal EGI User 1 (VO x) Anonymous User 1 EGI User 2 (Onedata space) Anonymous User 2 REQ6 REQ4 REST REQ1 REQ9 REQ2 REQ6 Web GUI POSIX HTTP OAI-PMH CDMI REST REQ5 REQ1 REQ6 REQ9 Space Manager Space Manager Open Data Manager Metadata Registry OAI-PMH Data Provider Authentication and Authorization Long Term Retention Open Data Platform REQ8 ODP is a solution for a a gateway to storage – it’s not duplicating anything. Federated approach of accessing data. Complexity completely hidden from users, who only need to chose 1) the data they want and 2) how they want to access it Top – users accessing the way they chose Say each in turn. EGI Site 1 EGI Site 2 EGI Site 3 Cloud storage EUDAT

Introducing the EGI DataHub New DaaS offering from EGI based on Onedata Onezone Cross-domain federation of existing storage providers Central means for accessing open data Domain level Data repository Generic Data repository Storage provider Based on OneData – developed by Cyfronet as part of EGI-Engage project and the INDIGO DataCloud and the EGI DataHub which is the prototype installation of it being made available to all members of EGI. Data here could mean datasets ­ a collection of data/files/filesets at a level of granularity considered useful to user communities. EGI FedCloud VM User browsing data User analysing data

And the EGI Federated Data Gateway New offering from EGI based on Onedata Onezone Brings user data to the clouds Enables storage providers to easily expose their storage Storage provider 2 Storage provider 3 Storage provider 1 EGI FedCloud VM User browsing data User analysing data

Data intensive computing across multiple clouds Private cloud 1 Institutional cloud 2 Public cloud VM VM VM VM VM VM VM VM POSIX/S3 POSIX/S3 POSIX/S3 Shared storage Brings the possibility of scalable, data intensive computing to communities regardless of their domain. Seemless access to multiple clouds – private, institutional, public. Multiple VMs accessing the same data via shared storage SPANNING these clouds. Accessible via the EGI DataHub Possibility of publishing data via a DOI and depositing it into a long term archive such as B2SAFE from EUDAT

Publishing, discovery and using open data From isolated domain level data repository with its users to: open discovery by new users via EGI DataHub exploitation of data on EGI FedCloud integrated EGI Check-in (OpenID Connect, social media, Token Translation Service) publishing and long term data archiving Domain level Data repository EGI FedCloud VM VM VM From the point of view of a domain level data repository. Many store data, very few bring the data to computing – an issue with big datasets. POSIX/S3 Shared storage`

Analysis of result’s impact

Earth Observation Proof of Concept Use cases example Earth Observation Proof of Concept Participants: RHEA Group, EOProc, SixSq, Cyfronet, EGI Foundation and AdviceGEO During the evaluation, Onedata instances were deployed on Amazon, Cyfronet, CloudFerro and CESNET The evaluation showed transparent data access allowing easy processing of data in any location on the Cloud

Use case results Greenland Glacier (15 scenes) & Shipping in Panama Canal (24 scenes) Sentinel scenes processed in parallel on up to 4 clouds 15 VMs (one per scene) for Greenland Glacier Up to 15x faster than sequential processing 24 VMs (one per scene) for Panama Canal ~24x faster than sequential processing 12

EGI DataHub Copernicus presentation http://go.egi.eu/<…>

Summary – EGI DataHub benefits Increased accessibility of data to users Bringing data to computing Integrated services (federation of data providers, multiple data access, publishing/DOIs and AAI) Scalability

Innovation level and capacity Earth Observation Proof of Concept (Engage) ICOS (Engage) PanCancer (EGI + EOSCpilot) Molecular Dynamics/INSTRUCT (INDIGO) LHC-CMS (INDIGO-DataCloud) ODP/Onedata will be further developed as part of: XDC, Xtreme Data Cloud (from Nov ’17) EOSChub (from Jan ‘18) Innovation level Describe which are the main benefits derived by using this result, who is using today and who is expected to use it in the next three years Innovation Capacity Describe briefly how the result can be used -in other areas beyond the project objective -for bringing benefits to others parties within the next 3 years

Relevance of the key result EGI Open Data Platform = Enabling Open Data access and exploitation Fundamental to the successful competitiveness of European science and industry Relevance to Work Programme and societal Challenges Briefly describe how the result satisfies the expected impacts of the project and/or other relevant economic or societal impacts, as: • Strengthening the competitiveness and growth of companies by developing innovations meeting the needs of European and global markets; and, where relevant, by delivering such innovations to the markets • Any other environmental and socially important impacts Relevance of Result for Policy domain of EOSC The extent of the benefits derived from the project result for EOSC EGI strategy and governance evolution and procurement

EGI strategy and governance evolution and procurement Exploitability level EGI Open Data Platform exploitable by: end users resource providers (e.g. storage) service providers (using federated data in its backend) Contributing to standards (e.g. repository interoperability) Exploitation: the use of results in -Developing/creating/marketing product/services/processes -Internal use within the EGI federation or commercial -Further activities other than project -Standardisation EGI strategy and governance evolution and procurement