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Data Vaults

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Big Data PPP Industrial Data Platforms - Towards cross-sectorial optimization and traceability
To start identifying synergies and to learn how different projects will address key data collection, sharing, integration, and exploitation challenges, a series of webinars have been organized under the umbrella of this Big Data Value PPP. These webinars are also organized by BDVA, BDVe project, and other projects which are part of this PPP.


Big Data PPP Industrial Data Platforms - Towards cross-sectorial optimization and traceability
To start identifying synergies and to learn how different projects will address key data collection, sharing, integration, and exploitation challenges, a series of webinars have been organized under the umbrella of this Big Data Value PPP. These webinars are also organized by BDVA, BDVe project, and other projects which are part of this PPP.

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Data Vaults

  1. 1. DataVaults is a project co-funded by the Horizon 2020 Program of the European Union (H2020-ICT-2019-2) under Grant Agreement No. 871755 and is contributing to the BDV-PPP of the European Commission. DataVaults Persistent Personal Data Vaults Empowering a Secure and Privacy Preserving Data Storage, Analysis, Sharing and Monetisation Platform Yury Glikman 08/05/2020Big Data PPP Personal Data Platforms: Empowering Citizens Leveraging their Data Power 1
  2. 2. DataVaults is a project co-funded by the Horizon 2020 Program of the European Union (H2020-ICT-2019-2) under Grant Agreement No. 871755 and is contributing to the BDV-PPP of the European Commission. Personal Data 2 § Tons of data generated today § Some of it remains offline, while some of it is online § Only 15% of people feel they have control of their data § GDPR is here to protect it, but is quite new § People share their value without getting a fair amount of it back
  3. 3. DataVaults is a project co-funded by the Horizon 2020 Program of the European Union (H2020-ICT-2019-2) under Grant Agreement No. 871755 and is contributing to the BDV-PPP of the European Commission. Motivation & Challenges 3 § With an estimated 3.5 billion active users, the total value of the market of personal data is approximately $210 billion, as advertising targeted using the personal data of an average user generates roughly $60.00 § A general willingness of more than 70% of millennials (aged between 16- 34) to share their data for actual benefits, non-necessarily financial
  4. 4. DataVaults is a project co-funded by the Horizon 2020 Program of the European Union (H2020-ICT-2019-2) under Grant Agreement No. 871755 and is contributing to the BDV-PPP of the European Commission. Topic: ICT-13-2018-2019 supporting the emergence of data markets and the data economy Start Date 01/01/2020 36Months Innovation Action DataVaults Facts 4 17Partners 5Demonstrators 9Countries Data Providers OLYMPIACOS, PIRAEUS, ANDAMAN7, PRATO, MYWENERGIA Data Management and Sharing Experts FRAUNHOFER, TECNALIA, UBITECH, IFAG, MAGGIOLI Security and Privacy Experts DTU, IFAT, ASSENTIAN, ETA Data Analytics Experts SUITE5, ATOS, ARTIFICIOUS 4
  5. 5. DataVaults is a project co-funded by the Horizon 2020 Program of the European Union (H2020-ICT-2019-2) under Grant Agreement No. 871755 and is contributing to the BDV-PPP of the European Commission. Addressing the Challenges 5 let the data owners (the individuals) decide what, how much and in which manner they would like to share it guarantee the privacy and security of their data retrieve a fair share of the value their data generates DataVaults
  6. 6. DataVaults is a project co-funded by the Horizon 2020 Program of the European Union (H2020-ICT-2019-2) under Grant Agreement No. 871755 and is contributing to the BDV-PPP of the European Commission. Vision § FOR WHOM? DataVaults will enable a new mode of collaboration/business relationship between individuals and organizations that would like to manage/process the personal data of individuals § WHY? Turn the personal data value chain into a multi-sided and multi-tier ecosystem governed by smart contracts to safeguard data ownership, privacy and usage and attribute value to all entities that generate value within this chain and especially data owners. DataVaults aims to deliver a framework and a platform that has personal data, coming from diverse sources in its centre and that defines secure, trusted and privacy preserving mechanisms allowing individuals to take ownership and control of their data and share them at will, through flexible data sharing and fair compensation schemes with other entities Target Users: Individuals – Data Providers – Data Seekers & Data Analysts 6
  7. 7. DataVaults is a project co-funded by the Horizon 2020 Program of the European Union (H2020-ICT-2019-2) under Grant Agreement No. 871755 and is contributing to the BDV-PPP of the European Commission. Who are the Actors? 7 Data Providers • Individuals who extract, collect in one place and securely store their personal data, share them and take control of their usage. Data Requestors • Economic Operators and Public Administrations who explore extracts or metadata, request access and perform analyses
  8. 8. DataVaults is a project co-funded by the Horizon 2020 Program of the European Union (H2020-ICT-2019-2) under Grant Agreement No. 871755 and is contributing to the BDV-PPP of the European Commission. Basic DataVaults Workflow 8 q Searchable Encryption Queries q Direct Queries on Unencrypted Data CollectExtract Personal Data Encrypt and Access Policy Store q Data Quality Check q Data Cleaning q Data Modelling q Data Semantic Annotation q Data Transformation DataAccessAPIs StoredData DistilledDataEssence ConsolidatedData Request DataSearch for Data Propose Contract Share Access and Analyze q Access Policy Definition q Sharing Modalities q Encrypt q User’s side storage q Cloud storage q TPM usage q Searchable Encryption q Access Request q Data q Analytics q Digital Twins q Personas q Request Valuation q Request Specifics q Contract Composition q Privacy Risk Assessment q Access Policy Selected q Data Preparation q Edge analysis q Etc.. q Contract Payment q Data Access q Analytics Individuals Organisations Contract Counter-Signed Contract Signed from Requestor
  9. 9. DataVaults is a project co-funded by the Horizon 2020 Program of the European Union (H2020-ICT-2019-2) under Grant Agreement No. 871755 and is contributing to the BDV-PPP of the European Commission. Key Technical Challenges within and beyond § How to ensure that data owners remain always in control of their data? § How to handle and enforce “data” sharing contracts instead of traditional bilateral agreements? § How to guarantee privacy of individuals? § How to valuate data and derivatives? § How to convince individuals to use DataVaults? What will be the eventual role of the “demonstrators” (data sources/platform satellites/API consumers?? 9 I. Personal Data Sharing and IPRs
  10. 10. DataVaults is a project co-funded by the Horizon 2020 Program of the European Union (H2020-ICT-2019-2) under Grant Agreement No. 871755 and is contributing to the BDV-PPP of the European Commission. Key Technical Challenges within and beyond § How can security and trust be guaranteed in each end? § What kind of operations are best for On-premise/Cloud execution? § What kind of infrastructure need individuals to have? § How to integrate existing Data Apps to DataVaults? 10 II. Security, Trust and Locality of Operations
  11. 11. DataVaults is a project co-funded by the Horizon 2020 Program of the European Union (H2020-ICT-2019-2) under Grant Agreement No. 871755 and is contributing to the BDV-PPP of the European Commission. Key Technical Challenges within and beyond § How to holistically describe personal data? § How ton infuse GDPR, IPR and sharing modalities in the data model § What kind of algorithms to provide to stakeholders? 11 Common Reference Model and Insightful Data Analytics
  12. 12. DataVaults is a project co-funded by the Horizon 2020 Program of the European Union (H2020-ICT-2019-2) under Grant Agreement No. 871755 and is contributing to the BDV-PPP of the European Commission. What can be Shared? § Data, which do offer to economic operators accurate results but are resource greedy and in many cases include a higher degree of privacy risks § Data Analytics, which can be performed either on the edge or on the cloud- based DataVaults platform, which may provide the same accuracy as sharing plain data, but improve the privacy level of individuals § Complex Insights, which are combination of analytics, that further improve privacy but provide valuable information to interested stakeholders. 12
  13. 13. DataVaults is a project co-funded by the Horizon 2020 Program of the European Union (H2020-ICT-2019-2) under Grant Agreement No. 871755 and is contributing to the BDV-PPP of the European Commission. DataVaults Services in a nutshell [1/2] § Holistic personal data management services, including collection, mining processing, normalization, formatting and availability at individuals’ personal devices level as well as on secure data vaults on the cloud § Smart interlinking of personal data to open, linked as well as proprietary data following Linked Data principles and openly (re-)publishing non- sensitive and business critical information to the LOD community § Novel data security and cryptography, data anonymisation and privacy preservation, remote attestation and trusted data exchange through the utilisation of TPM technologies § Privacy risk assessment methods that offer a “situational awareness” picture to individuals with easy to understand privacy metrics 13
  14. 14. DataVaults is a project co-funded by the Horizon 2020 Program of the European Union (H2020-ICT-2019-2) under Grant Agreement No. 871755 and is contributing to the BDV-PPP of the European Commission. DataVaults Services in a nutshell [2/2] § Privacy preserving and data security retention mechanisms, to accommodate the generation of anonymised “digital twins” of individuals, as well as specimen clusters (“persona groups”) powering group analytics that contain valuable insights without violating privacy principles § A twin fold data brokerage engine to cater for IPR and data license safeguarding, documenting transactions in a privacy preserving § Smart balancing of analytics methods to accommodate Edge Analytics as well as centralised operations § Provision of intuitive analytics, reports, smart dashboards and visualizations tailored to the needs of each stakeholder of the domain, including the individual, as well as generic ones for wider use by any interested organisation and by the public 14
  15. 15. DataVaults is a project co-funded by the Horizon 2020 Program of the European Union (H2020-ICT-2019-2) under Grant Agreement No. 871755 and is contributing to the BDV-PPP of the European Commission. DataVaults Demonstrators Demonstrator #1 – Sports And Activity Personal Data (Olympiacos) Demonstrator #2 – Strengthening Entrepreneurship And Mobility (Piraeus) Demonstrator #3 – Healthcare Data Retention And Sharing (Andaman7) Demonstrator #4 – Smart home Personal Energy Data (Miwenergia) Demonstrator #5 – Personal Data For Municipal Services And The Tourism Industry (Prato) 15
  16. 16. DataVaults is a project co-funded by the Horizon 2020 Program of the European Union (H2020-ICT-2019-2) under Grant Agreement No. 871755 and is contributing to the BDV-PPP of the European Commission. THANK YOU Yury Glikman yury.glikman@fokus.fraunhofer.de https://www.datavaults.eu 16

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