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.
Bringing back value to the Data Owner
The DataVaults Concept
Dr. Yury Glikman

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 Value
2
 Key for offering novel personalised
services
 Tons of data generated today
 Sensors, wearables, IoT and CPS
 estimated 3.5 billion active users
 total value is approximately $210
billion
 Success stories of Facebook and Co

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.
Challenges and Considerations
3
 Only 15% of people feel they have control of
their data
 Lack of trust, but a general willingness of
more than 70% of millennials (aged
between 16-34) to share their data for
actual benefits, non-necessarily financial
 Privacy and Security
 Regulations to reinforce trust and security
 People share their value without getting a
fair amount of it back
 Control Vs. Complexity

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.
Addressing the Challenges
4
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

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.
Topic: ICT-13-2018-2019 supporting the emergence of data markets and the data economy
Start Date
01/01/2020
36 Months
Innovation Action
DataVaults Facts
5
17 Partners
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,
UNISYSTEMS
5

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? For 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.
Platform defining
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.
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 who
explore extracts or metadata,
request access and perform
analyses

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.
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 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.
8

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.
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)
9

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.
THANK YOU
www.datavaults.eu
Dr. Yury Glikman
yury.glikman@fokus.fraunhofer.de