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PrepData4Mobilty (Building Blocks) Methodological approach and Roadmap.pptx

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PrepData4Mobilty (Building Blocks) Methodological approach and Roadmap.pptx

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Europe is on its way to generate and make use of more data than ever. The project PrepDSpace4Mobility aims at contributing to the development of the common European mobility data space by supporting the creation of a technical infrastructure that will facilitate easy, cross-border access to key data for both passengers and freight. Given the enormous potential of data and digital technologies, the project is expected to have a positive impact on European competitiveness, society, and the environment.
We invited experts in the field of mobility, transport and data space technology to join PrepDSpace4Mobility expert workshop #1 to learn more about the preliminary results of the project and give early feedback in order to sharpen the focus as needed and requested from the real market.
Project PrepDSpace4Mobility is Funded by the European Union and coordinated by acatech (Germany), activities are carried out by Amadeus SAS (France), EIT Urban Mobility, an initiative of the European Institute of Innovation and Technology, a body of the European Union, (Spain), FIWARE (Germany), FhG (Germany), IDSA (Germany), iSHARE (Netherlands), TNO (Netherlands), USI (Germany), VTT (Finland), EMTA (France), Group ADP (France), KU Leuven (Belgium), ERTICO (Belgium), BAST (Germany), UIH (Hungary), and MDS (Germany).

Europe is on its way to generate and make use of more data than ever. The project PrepDSpace4Mobility aims at contributing to the development of the common European mobility data space by supporting the creation of a technical infrastructure that will facilitate easy, cross-border access to key data for both passengers and freight. Given the enormous potential of data and digital technologies, the project is expected to have a positive impact on European competitiveness, society, and the environment.
We invited experts in the field of mobility, transport and data space technology to join PrepDSpace4Mobility expert workshop #1 to learn more about the preliminary results of the project and give early feedback in order to sharpen the focus as needed and requested from the real market.
Project PrepDSpace4Mobility is Funded by the European Union and coordinated by acatech (Germany), activities are carried out by Amadeus SAS (France), EIT Urban Mobility, an initiative of the European Institute of Innovation and Technology, a body of the European Union, (Spain), FIWARE (Germany), FhG (Germany), IDSA (Germany), iSHARE (Netherlands), TNO (Netherlands), USI (Germany), VTT (Finland), EMTA (France), Group ADP (France), KU Leuven (Belgium), ERTICO (Belgium), BAST (Germany), UIH (Hungary), and MDS (Germany).

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PrepData4Mobilty (Building Blocks) Methodological approach and Roadmap.pptx

  1. 1. Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Commission. Neither the European Union nor the granting authority can be held responsible for them. Work Package 3, Task 3.4 (Building Blocks) Methodological approach and Roadmap
  2. 2. This project has received funding from the Digital Europe Programme under grant agreement n°101083655. Task 3.4 Objectives • Subtask 3.4.1 • Identify governance frameworks, reference architectures, etc. eligible for analysis​ • Analyze the governance frameworks, business models and other strategies for proposed BBs​ • Analyze the identified data sharing ecosystems for inherent, sector specific BBs • Subtask 3.4.2 • Work on the proposal of common mobility-specific building blocks and requirements using the specifications elaborated by Task 3.4.1​ • Suggest incentive schemes to motivate participants to provide data​ • Identify legal avenues to foster data reuse in mobility, such as the revision of legacy legal frameworks​ • Contribute to a graphical representation of the project’s findings​
  3. 3. This project has received funding from the Digital Europe Programme under grant agreement n°101083655. Methodology for Analysis of Building Blocks TOP-DOWN MEETS BOTTOM-UP: REFERENCE ARCHITECTURES MEET BEST PRACTISE Define the Data Space Capabilities analysing Theoretical Architecture and Building Blocks Models BOTTOM-UP-FIRST-APPROACH: • ANALYZE EXISTING (THEORETICAL) MODELS • EXTRACT PROPOSED BUILDING BLOCKS • TRANSLATE/MAP ALTERNATIVE CONCEPTS • CONSOLIDATE CONTENT • PROVIDES COMMON DS FEATURES • ALLOWS FOR COMPREHENSIVE PICTURE • ENRICH LATER WITH BEST PRACTICES REPRESENTATIVE GUIDELINE FOR THE IMPLEMENTATION OF DATA SPACES BOTH A TOP-DOWN AND BOTTOM-UP APPROACH HAVE THEIR LIMITATIONS RISKS AND OBSTACLES: • SEVERAL DIFFERENT MODELS NEED TO BE ANALYZED • MAPPING MIGHT BE DIFFICULT • CONSOLIDATION INTO ONE FINAL MODEL WILL BE TIME CONSUMING • PROBABLY POOR INPUT REGARDING BUSINESS MODELS AND INCENTIVES • WORK SUPPOSED TO BE DONE BY DSSC Identify Building Block Requirements by investigating existing Best Practises from representative Use Cases
  4. 4. This project has received funding from the Digital Europe Programme under grant agreement n°101083655. METHODOLOGY FOR ANALYSIS OF BUILDING BLOCKS TOP-DOWN MEETS BOTTOM-UP: REFERENCE ARCHITECTURES MEET BEST PRACTISE Identify Building Block Requirements by investigating existing Best Practises from representative Use Cases Define the Data Space Capabilities analysing Theoretical Architecture and Building Blocks Models TOP-DOWN-FIRST-APPROACH: • Analyze Existing Data Space initiatives • Assess Each Architecture Model/Building Block “Usage” • Business Models and incentives from Reality • Weaknesses and strengths Experience • Consolidate findings • Enrich later from standard models • Allows for pragmatic picture of the feasible • Sector and Use Case specific features • Needs anyway an idea of possible Building blocks REPRESENTATIVE GUIDELINE FOR THE IMPLEMENTATION OF DATA SPACES BOTH A TOP-DOWN AND BOTTOM-UP APPROACH HAVE THEIR LIMITATIONS RISKS AND OBSTACLES: • Small number of sufficiently advanced projects • Poor responses to the surveys • Not all BBs considered • Great variety of information formats
  5. 5. This project has received funding from the Digital Europe Programme under grant agreement n°101083655. Methodology for Analysis of Building Blocks - A Best Practices Approach: 1. Survey within all members of the inventory on: • Data sharing architecture, Building Block usage, Governance Processes, Business Models, based on the OpenDEI BB Schema, plus attractors, showstoppers 2. Generation of a refined view on data space design with selected DS: • Survey on the implementation of capabilities in detail (enriched OpenDEI capabilities catalogue) • Reasons for absence of capabilities • Adherence to legal constraints 3. Validate with representative Use Cases METHODOLOGY FOR ANALYSIS OF BUILDING BLOCKS “TOP DOWN” APPROACH Your Input is highly desired!!
  6. 6. This project has received funding from the Digital Europe Programme under grant agreement n°101083655. • Questionnaire I addressing the needs for both T3.3 and T3.4 • Addressing the required inputs for both T3.3 and T3.4: • Addressing cornerstones of data usage • Asking for technical and organisational Building Blocks • As refinement for each of the (extensive set of) contributions / entries in the WP2 Inventory 1. What type of data sharing is supported?: a. Sharing of persistent (semi-static) data b. Sharing of (real-time) streaming data c. Algorithm sharing for local processing of (sensitive) data d. Smart contracting for data flow control e. Multiple of the above f. None of the above Additional Remarks (open question) 1. Do you (plan to) adopt a building block implementation according to an EU Reference Architecture Initiatives a. Building blocks from the IDSA Reference Architecture? b. Building blocks from the GAIA-X Reference Architecture? c. Building blocks from the ISHARE Reference Architecture? d. Building blocks from the SIMPL Reference Architecture? e. Building blocks from the FEDeRATED Reference Architecture? f. Building blocks from another Reference Architecture? g. Mix of elements from different Reference Models Additional Open Questions: ∙ What building blocks of these EU Reference Architectures do you use or plan to use? ∙ What is the motivation for using the building blocks from the selected EU Reference Architecture(s)? • Example (in development) METHODOLOGY FOR ANALYSIS OF BUILDING BLOCKS DATA NEEDS (TOP-DOWN)
  7. 7. This project has received funding from the Digital Europe Programme under grant agreement n°101083655. • Interviewing selected stakeholders for technical and organisational best practises • Based on a more detailed questionnaire II Metadata and Discovery Protocol Are all actors/elements in the DSP described? Which description formats are used? Were domain-specific descriptions (elements) applicable? Which technologies are implemented for the handling of the description? Which parts of the implementation reside in the connector/on party-side, which in a federated soft infrastructure? Data Usage Accounting Are the events triggered by actors logged, counted, compiled for the use in clearing, payment, and billing procedures? Which parts of the implementation resides in the connector/on party-side, which in a federated soft infrastructure? Publication and Marketplace Services How is the body of data descriptions made public? Which catalogue technology is used? How is the catalogue linked to other functions of the soft infrastructure (smart contracting, monitoring/accounting)? METHODOLOGY FOR ANALYSIS OF BUILDING BLOCKS DATA NEEDS (TOP-DOWN)
  8. 8. This project has received funding from the Digital Europe Programme under grant agreement n°101083655. Sharing of (semi-static) data Sharing of (real-time) streaming data Algorithm sharing for local processing of (sensitive) data Smart contracting for data flow control: Personal Mobility CCAM Logistics Route and Load Planning Talking Traffic FEDeRATED Event Driven Link Distr. Talking Trucks METHODOLOGY FOR ANALYSIS OF BUILDING BLOCKS TOP-DOWN MEETS BOTTOM-UP: USE CASES TO VALIDATE PROPOSED BUILDING BLOCKS Logistics Use Case Taken from DASLOGIS project Tbd: REPRESENTATIVE AND ILLUSTRATIVE USE CASES PER TOPIC MDS TOPIC AREA
  9. 9. This project has received funding from the Digital Europe Programme under grant agreement n°101083655. METHODOLOGY FOR ANALYSIS OF BUILDING BLOCKS OUTCOME OF THE ANALYSIS Discover key insights that will result from this analysis and in-depth expert interviews to help support the framework towards a European Mobility Data Space: Outcome #1 – quantitative • List of commonly considered Building Blocks/Capabilities • List of sector specific Building Blocks • List of example Use Cases of the sector (already implemented, or under work) Outcome #2 – qualitative • Understanding of common interpretation of necessary data space characteristics (technical and organizational) • Identified enablers for data sharing; e.g. attractive business models, innovation opportunities, efficiency • Common access barriers preventing potential players to enter data space ecosystems
  10. 10. This project has received funding from the Digital Europe Programme under grant agreement n°101083655. Feb Mar Apr May Jun Jul Aug Sep Building Block Identification First survey / Capability Cataloque Survey Analysis / Interviews / Consolidation / Validation/ Documentation Review/Fine tuning/Presentation Compliance / Legal Scope definition Detailed description of resulting capabilities and non-functional requirements, incl. impact on other capabilities Review/Fine tuning/Presentation Deliverable preparation Deliverable preparation Methdology G&O analysis data sources Collection / Survey Analysis / Interpretation of findings / Consolidation / Documentation Review/Fine tuning/Presentation Inventory / Initial survey TIMELINES LOCKS FOR BOTH TASK 3.3 AND TASK 3.4
  11. 11. This project has received funding from the Digital Europe Programme under grant agreement n°101083655. METHODOLOGY FOR ANALYSIS OF BUILDING BLOCKS NEXT STEPS FOR THE BUILDING BLOCK ANALYSIS •February: •Finalize the first questionnaire (Feb 10th )​ •Distribution of Questionnaire I (H2 Feb) •Extend the capabilities draft catalogue (End of FEB) •Elaborate applicable legal constraints (End of FEB)​ •March: •Initialize the Deliverable Document •Analyze the responses to Questionnaire I •Identify stakeholders for detailed investigations
  12. 12. This project has received funding from the Digital Europe Programme under grant agreement n°101083655. 1. On the methodology presented 1. About the Collaboration with PrepDS4Mobility 1. Involvement / role of the WP3 partners: • For both T3.3 and T3.4 QUESTIONS AND DISCUSSIONS
  13. 13. This project has received funding from the Digital Europe Programme under grant agreement n°101083655.
  14. 14. This project has received funding from the Digital Europe Programme under grant agreement n°101083655. Backup Slides
  15. 15. This project has received funding from the Digital Europe Programme under grant agreement n°101083655. Task 3.4 Data Needs (Top-Down) • Information needs from Inventory entries • List of „True“ data space ecosystems (mandatory) • Architecture • Building Block usage • Governance Models • Business Models • TOMs to achieve compliance with regulations • „Showstopper“ • Attractors
  16. 16. This project has received funding from the Digital Europe Programme under grant agreement n°101083655. Open DEI Technical building blocks (preliminary list) BUSINESS APPLICATION SOFTWARE Out of scope Data Services (OTHER) FEDERATION EXTENSION (Beyond OpenDEI) INTER OPERABILITY Data Analytics Engine Data Visualisation Workflow Management Engine Federated Algorithms Self Sovereignty & Reversibility DATA VALUE Self Sovereignty & Reversibility Publication & Marketplace Services Data Usage Accounting Data Exchange API’s Data Models & Formats Provenance & Traceability Infrastructure Software Services TRUST Meta data & Discovery Protocol Identity Management Trusted Exchange Access & Usage Control/Policie s Systems infrastructure (OTHER) Cloud Infrastructure Edge/On-Premises Infrastructure Software infrastructure (OTHER) System Adaptation Data plane Data Routing & Preprocessing Data Processing
  17. 17. This project has received funding from the Digital Europe Programme under grant agreement n°101083655. Task 3.4 Methodology (Output) • Prepare a template for an Implementation Backlog • The entire project as an Epic with several capabilities/features • Compliance as non-functional requirements (“Enablers”) • Can merge input from best practise and “theory” • Gives practical advice (best practise recommendations) • Does not anticipate DSSCs work
  18. 18. This project has received funding from the Digital Europe Programme under grant agreement n°101083655. Story Story Story Story Story Task 3.4 Methodology (Output) EPIC Enabler ~ Building Block ~ Capability to … ~ Non-Functional Requirement Implement a Data Space for … Feature Feature Feature Feature Feature Story Story Story Story Story
  19. 19. This project has received funding from the Digital Europe Programme under grant agreement n°101083655. Task 3.4 Roadmap Feb Mar Apr May Jun Jul Aug Sep Sector Specific – Top Down Initial survey Survey Analysis / Interviews / Consolidation / Documentation Review/Fine tuning/Presentation Transversal / Governance Scope definition Detailed description of resulting capabilities and non-functional requirements, incl. impact on other capabilities Review/Fine tuning/Presentation Deliverable preparation Deliverable preparation
  20. 20. This project has received funding from the Digital Europe Programme under grant agreement n°101083655. Discussion Welcome!

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