my data store - telecom italia

Trusted Data Management with Service Ecosystem – EIT ICT Lab’s HII

My Data Store presentationEuropean 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

Smartphone

SME

SECURE STORAGE / Filtering / Aggregation / Anonymization

Personal Data from

Smartphone Sensors

Personal Data from Apps and Services

Territorial, Business,

Organization Data

Personal Data Store

PDS

Access Policies

Policy enforcement

APIs...

EncriptionAnalytics

Visualizations

Businesssupport &

Intelligence

Services(APPs / WEB)

Territorial, Business,

Organization Data

Container

Users: produce different types of Personal

Data, set access policies, access PDS services andadded value APPS, control monetization, etc.

Organizations: produce data, benefit

from aggregations with other data sourcesand from add value APPs/Services on their data

Data Stream

My Data Store:

The User Digital «shadow/footprint»

Localization

Communications

&Interactions

Consumptions (e.g. Utilities)

Payments

Health & WellnessRetailing

Social Network

Personal Data Stores

Awareness

Personal Data Store Social Value

(Personal Big Data)

Exploitation

– Disclosure

Apps, Services, ...

Control

Collects

PD from

Heterogenous

sources

User-CentricPersonal Data Management

My Data Store –

Reference case at the

World Economic Forum 2013

My Data Store

Main features

Web

Mobile

10

My Data Store: data types & data connectors

Social

Networks

Wearable &

Wellness

Expenses

Utilities

Mobile (Apps., etc…)

Retail/GDO

Localization

Communication

Smartphone

SME

SECURE STORAGE / Filtering / Aggregation / Anonymization

Personal Data from

Smartphone Sensors

Personal Data from Apps and Services

Territorial, Business,

Organization Data

Personal Data Store

PDS

Access Policies

Policy enforcement

APIs...

EncriptionAnalytics

Visualizations

Businesssupport &

Intelligence

Services(APPs / WEB)

Territorial, Business,

Organization Data

Container

Users: produce different types of Personal

Data, set access policies, access PDS services andadded value APPS, control monetization, etc.

Organizations: produce data, benefit

from aggregations with other data sourcesand from add value APPs/Services on their data

Data Stream

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/...)

APPSAuditing

Data Quality

Assessment

Connector

s to

external

data

AuthenticationDASHBOARD

CB

EXPLORATIO

N

Filtering / Aggregation / Anonymization /

Semantic Engine

My Data Store: Architecture

PERSONAL DATA PLATFORM

My Data Store: App.s ecosystem

One Personal Data Management platform

enabling many application scenarios

The MTL ecosystem of co-designed Trusted Applications

TIM

CheckApp

Personal

Money Mng.

Mobile

My PDS

Familink Favour

ExchangeSecondNose

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

My Data Store mobile: dinamically control apps behavior

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

Control and Exploitation featuresUser primacy over the entire PD life-cycle (from collection to usage)

Deletion Area

Sharing Area

Collection Area

Control and Exploitation featuresData exploitation with trusted apps, controlling apps’ behavior

Trusted Apps

Types of Data

Types of Usages

App Privacy Prefs

Increasing Awareness and Engagement and stimulate toward the Exploitation of PD

Aggregated Individual Views(charts, timelines, maps, clusters, …)

Detailed «Auditing» Views(raw/single data)

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

23

Trusted Data Management with Service Ecosystem – EIT ICT Lab’s HII

My Data Store presentationEuropean 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