Telecom Italia's 'My Data Store' presentation seen at the EIT ICT Labs Interactive Cloud Clinic event.

1. Trusted Data Management with Service Ecosystem – EIT ICT Lab’s HII
My Data Store presentation
European Trusted Cloud Platform
with Advanced Data and Service Management Ecosystem
Interactive future cloud clinic event in London
Digital Catapult Centre – London (UK), January, 19th 2015
Michele Vescovi
Telecom Italia – SKIL
michele.vescovi@telecomitalia.it

2. Smartphone
SME
SECURE STORAGE / Filtering / Aggregation / Anonymization
Personal
Data from
Smartphon
e Sensors
Personal
Data from
Apps and
Services
Territorial,
Business,
Organization
Data
Personal Data Store
PDS
Access Policies
Policy
enforcement
APIs
...
Encription
Analytics
Visualizations
Business
support &
Intelligence
Services
(APPs / WEB)
Territorial,
Business,
Organization
Data
Container
Users:produce different types of Personal
Data, set access policies, access PDS services and
added value APPS, control monetization, etc.
Organizations: produce data, benefit
from aggregations with other data sources
and from add value APPs/Services on their data
Data Stream

3. My Data Store:

4. The User Digital «shadow/footprint»
Localization
Communications
&Interactions
Consumptions (e.g. Utilities)
Payments
Health & Wellness
Retailing
Social Network

5. Personal Data Stores
Awareness
Personal Data Store Social Value
(Personal Big Data)
Exploitation
– Disclosure
Apps, Services, ...
Control
Collects
PD from
Heterogenous
sources

6. User-Centric
Personal Data
Management
My Data Store –
Reference case at the
World Economic Forum 2013

7. My Data Store
Main features
Web
Mobile

8. 10
My Data Store: data types & data connectors
Social
Networks
Wearable &
Wellness
Expenses
Utilities
Mobile (Apps., etc…)
Retail/GDO
Localization
Communication

9. Smartphone
SME
SECURE STORAGE / Filtering / Aggregation / Anonymization
Personal
Data from
Smartphon
e Sensors
Personal
Data from
Apps and
Services
Territorial,
Business,
Organization
Data
Personal Data Store
PDS
Access Policies
Policy
enforcement
APIs
...
Encription
Analytics
Visualizations
Business
support &
Intelligence
Services
(APPs / WEB)
Territorial,
Business,
Organization
Data
Container
Users:produce different types of Personal
Data, set access policies, access PDS services and
added value APPS, control monetization, etc.
Organizations: produce data, benefit
from aggregations with other data sources
and from add value APPs/Services on their data
Data Stream

10. 12
Smartphone
Storage/Encryption/Retrieval
Personal
Data from
APPS
PDS
User
control and
awareness
User
Community
management
(Industry,
Research)
Data Stream
Mobile
Personal Data
Store
Personal
Data from
Services
(e.g. WEB)
API for
(Personal/
Social/...)
APPS
Auditing
Data Quality
Assessment
Connector
s to
external
data
Authentication
DASHBOARD
CB
EXPLORATIO
N
Filtering / Aggregation / Anonymization /
Semantic Engine
My Data Store: Architecture

11. PERSONAL DATA PLATFORM
My Data Store: App.s ecosystem
One Personal Data Management platform
enabling many application scenarios

12. The MTL ecosystem of co-designed
Trusted Applications
TIM
CheckApp
Personal
Money Mng.
Mobile
My PDS
Familink Favour
Exchange
SecondNose

13. The platform aggregates
data from all the sensors
each collecting a data point
every five minutes.
An app provides users real time
information about the
collected locations indicating
the quality of the air breathed
during a day.
DAILY INDIVIDUAL MAP
DYNAMIC COLLECTIVE MAP OF THE CITY
Example: SecondNose (air Monitor)
SecondNose

14. My Data Store mobile: dinamically control apps behavior

15. 17
Application opportunities on top of My Data Store’s data
User awareness, quantified self, …360°
User/Social Smart City data-driven services
Trusted apps for exploit/disclose
personal data into services…
Personal (BIG) Data in TI
Data Monetization

16. Control and Exploitation features
User primacy over the entire PD life-cycle (from collection to usage)
Deletion Area
Sharing Area
Collection Area

17. Control and Exploitation features
Data exploitation with trusted apps, controlling apps’ behavior
Trusted Apps
Types of Data
Types of Usages
App Privacy Prefs

18. Increasing Awareness
and Engagement
and stimulate toward the Exploitation of PD
Aggregated Individual Views
(charts, timelines, maps, clusters, …)
Detailed «Auditing» Views
(raw/single data)

19. Social Views
(collaborative views, comparison, …)
Aggregated Individual Views
(charts, timelines, maps, clusters, …)
Detailed «Auditing» Views
(raw/single data)
Increasing Awareness
and Engagement
value for the community & social comparison

20. 23
Trusted Data Management with Service Ecosystem – EIT ICT Lab’s HII
My Data Store presentation
European Trusted Cloud Platform
with Advanced Data and Service Management Ecosystem
Interactive future cloud clinic event in London
Digital Catapult Centre – London (UK), January, 19th 2015
Michele Vescovi
Telecom Italia – SKIL
michele.vescovi@telecomitalia.it