際際滷

際際滷Share a Scribd company logo

10-EOSC_Symposium_Zeyd_Boukhers.pptx (1).pdf

?
?
Z
Zeyd Boukhers

Zeyd Boukhers from Fraunhofer Institute presented on FAIR Data Spaces, a project aiming to create a common data space for industry, science, and society. The project is working to overcome challenges with current data exchange practices by establishing rules and standards. It is developing demonstrators to showcase data exchange between Gaia-X and various research infrastructure initiatives. Upcoming demonstrators will focus on biodiversity data, research data quality assurance, and cross-platform healthcare data analytics. FAIR Data Spaces also announced an open call for additional demonstrators from other domains.

1 of 16
Download to read offline
FAIR Data Spaces C a common Data Space for Industry, Science and Society Zeyd Boukhers Fraunhofer Institute for Applied Information Technology FIT Prague, 16 November 2022
Data Exchange: Before 2 All icons are from Flaticon.com I will develop an AI-based defect detection system for medical 3D prints. Leya A young scientist But I need data !!!
Data Exchange: Before 3 All icons are from Flaticon.com Leya Who can provide me with a high quality medical 3D manufacturing dataset? I can! I have the largest! Mine has all attributes! We can!
Data Exchange: Before 4 All icons are from Flaticon.com Leya Ben I send you the data you need! My organization will pay for it! Let¨s exchange data!
Data Exchange: Before 5 All icons are from Flaticon.com Leya Ben Here you go! ???
What do we need to overcome this? Are Leya/Ben who they say they are? Do they play by the rules? 6 Adapted from: International Data Spaces - Reference Architecture Model
Gaia-X & NFDI Gaia-X ? Gaia-X is a federated and secure data infrastructure for Europe and beyond. ? Its development is coordinated by the non-pro?t Gaia-X European Association for Data and Cloud. ? Over 359 members so far, mostly companies. 7 NFDI ? The National Research Data Infrastructure (NFDI) for the German science system is set up under the coordination of the NFDI Association by around 30 consortia, in which universities and research institutes are predominantly involved.
? Funded by the Federal Ministry of Education and Research (BMBF) from May 2021 to May 2024 ? Vision: common cloud-based data space for business and science (based on the FAIR data principles) ? Mission: Create and expand synergies between existing technologies and communities. 8 Germany EU World Business International Data Spaces (IDS): Basis for sovereign data exchange in Gaia-X Gaia-X: Federated and Secure data Infrastructure Science National Research Data Infrastructure (NFDI) European Open Science Cloud (EOSC) Global Open Science Cloud (GOSC) FAIR Data Spaces: Overview
FAIR Data Spaces: Demonstrators 9 Biodiversity data space A deployment of the Geo Engine software in a Gaia-X compatible cloud. Gaia-X + NFDI4Biodiversity Research data quality assurance FAIR Research Data Quality Assurance and Workflows Gaia-X + NFDI4Ing (Engineering) Cross-platform data analytics The demonstrator relies on already published medical data which can be publicly accessed without any restriction and used to train a classification model in the Gaia-X setting Gaia-X + NFDI4Health
Cross-platform data analytics 10 ? Centralised Analytics ? Collect data (Data centralisation) ? Store locally ? Perform analysis ? However´ ? Not GDPR-compliant ? Network load due to data amount ? Loss of data sovereignty ? Solution ? Distributed Analytics Analysis D a t a S t r e a m D a t a S t r e a m https://gdpr.eu UH Cologne UH Aachen
Cross-platform data analytics 11 UH Aachen UH Cologne UH Aachen UH Cologne Result Aggregator Institutional Incremental Learning Federated/Parallel Learning
Cross-platform data analytics: Personal Health Train 12 ? PHT is a distributed infrastructure to support: ? Data management ? Data analysis ? Medical decision making ? Guiding Principles: ? Control over data ? Reusable health data ? Distributed and federated solutions ? International interoperability ? Responsible use of health data ? Ethics-by-design ? Machine-readability at the core
Further Demonstrators: Open Call ? FAIR Data Spaces will soon launch the ?rst Open Call to consider further scenarios of data exchange between industry and science and develop demonstrators for them ? (Partially) reusing the demonstrators of FAIR Data Spaces. We invite all stakeholders, also those from application domains that have not yet been in the focus of Gaia-X, IDS, and NFDI, to participate. Are you interested? Drop us a line! Zeyd.Boukhers@FIT.Fraunhofer.de 13
14 Call for collaboration Zeyd Boukhers Daniela Mockler Christoph Lange-Bever
All project participants 15 Funded by the Federal Ministry of Education and Research (BMBF)
Thank you for your interest! Contact: Zeyd.Boukhers@FIT.Fraunhofer.de Stay in touch: www.nfdi.de/fair-data-spaces @FAIRDataSpaces #FAIRDataSpaces Community newsletter: https://www.nfdi.de/newsletter-abo/

More Related Content

10-EOSC_Symposium_Zeyd_Boukhers.pptx (1).pdf

  • 1. FAIR Data Spaces C a common Data Space for Industry, Science and Society Zeyd Boukhers Fraunhofer Institute for Applied Information Technology FIT Prague, 16 November 2022
  • 2. Data Exchange: Before 2 All icons are from Flaticon.com I will develop an AI-based defect detection system for medical 3D prints. Leya A young scientist But I need data !!!
  • 3. Data Exchange: Before 3 All icons are from Flaticon.com Leya Who can provide me with a high quality medical 3D manufacturing dataset? I can! I have the largest! Mine has all attributes! We can!
  • 4. Data Exchange: Before 4 All icons are from Flaticon.com Leya Ben I send you the data you need! My organization will pay for it! Let¨s exchange data!
  • 5. Data Exchange: Before 5 All icons are from Flaticon.com Leya Ben Here you go! ???
  • 6. What do we need to overcome this? Are Leya/Ben who they say they are? Do they play by the rules? 6 Adapted from: International Data Spaces - Reference Architecture Model
  • 7. Gaia-X & NFDI Gaia-X ? Gaia-X is a federated and secure data infrastructure for Europe and beyond. ? Its development is coordinated by the non-pro?t Gaia-X European Association for Data and Cloud. ? Over 359 members so far, mostly companies. 7 NFDI ? The National Research Data Infrastructure (NFDI) for the German science system is set up under the coordination of the NFDI Association by around 30 consortia, in which universities and research institutes are predominantly involved.
  • 8. ? Funded by the Federal Ministry of Education and Research (BMBF) from May 2021 to May 2024 ? Vision: common cloud-based data space for business and science (based on the FAIR data principles) ? Mission: Create and expand synergies between existing technologies and communities. 8 Germany EU World Business International Data Spaces (IDS): Basis for sovereign data exchange in Gaia-X Gaia-X: Federated and Secure data Infrastructure Science National Research Data Infrastructure (NFDI) European Open Science Cloud (EOSC) Global Open Science Cloud (GOSC) FAIR Data Spaces: Overview
  • 9. FAIR Data Spaces: Demonstrators 9 Biodiversity data space A deployment of the Geo Engine software in a Gaia-X compatible cloud. Gaia-X + NFDI4Biodiversity Research data quality assurance FAIR Research Data Quality Assurance and Workflows Gaia-X + NFDI4Ing (Engineering) Cross-platform data analytics The demonstrator relies on already published medical data which can be publicly accessed without any restriction and used to train a classification model in the Gaia-X setting Gaia-X + NFDI4Health
  • 10. Cross-platform data analytics 10 ? Centralised Analytics ? Collect data (Data centralisation) ? Store locally ? Perform analysis ? However´ ? Not GDPR-compliant ? Network load due to data amount ? Loss of data sovereignty ? Solution ? Distributed Analytics Analysis D a t a S t r e a m D a t a S t r e a m https://gdpr.eu UH Cologne UH Aachen
  • 11. Cross-platform data analytics 11 UH Aachen UH Cologne UH Aachen UH Cologne Result Aggregator Institutional Incremental Learning Federated/Parallel Learning
  • 12. Cross-platform data analytics: Personal Health Train 12 ? PHT is a distributed infrastructure to support: ? Data management ? Data analysis ? Medical decision making ? Guiding Principles: ? Control over data ? Reusable health data ? Distributed and federated solutions ? International interoperability ? Responsible use of health data ? Ethics-by-design ? Machine-readability at the core
  • 13. Further Demonstrators: Open Call ? FAIR Data Spaces will soon launch the ?rst Open Call to consider further scenarios of data exchange between industry and science and develop demonstrators for them ? (Partially) reusing the demonstrators of FAIR Data Spaces. We invite all stakeholders, also those from application domains that have not yet been in the focus of Gaia-X, IDS, and NFDI, to participate. Are you interested? Drop us a line! Zeyd.Boukhers@FIT.Fraunhofer.de 13
  • 14. 14 Call for collaboration Zeyd Boukhers Daniela Mockler Christoph Lange-Bever
  • 15. All project participants 15 Funded by the Federal Ministry of Education and Research (BMBF)
  • 16. Thank you for your interest! Contact: Zeyd.Boukhers@FIT.Fraunhofer.de Stay in touch: www.nfdi.de/fair-data-spaces @FAIRDataSpaces #FAIRDataSpaces Community newsletter: https://www.nfdi.de/newsletter-abo/