The Digital Catapult aims to rapidly advance the UK's best digital ideas through collaboration. It works with partners in areas along the data value chain like internet of things devices and closed organizational data. For personal data sharing, it takes a collaborative approach to build trust by empowering consumers and addressing technical, legal, and commercial friction. Its Data Catalyser project aims to safely mix closed data and let innovators experiment to identify new values. It is also working with Camden Council to co-create internet of things use cases like smart parking and pollution reduction through a collaborative workshop.

1. Collaborative working
@Digital Catapult
Collaborative working in the Digital Economy –
Altitude, London – July 7th
Michele Nati
Privacy and Trust Tech Lead
@michelenati

2. The Digital Catapult
Who are we? And what do we do?
@DigiCatapult

3. A national centre to rapidly
advance the UK’s best
digital ideas
Completely
neutral
Not for profit,
private limited
company
Who are we?

4. Some of our partners and supporters

5. We are NOT a funder, incubator or
accelerator!
Our aim is to work with these
organisations, not duplicate
To unlock proprietary data in
faster, better and more trusted ways
Our Mission

6. Our focus is on the Data Value Chain
How We Do This

7. Data From
Internet of
Things devices
Personal Data
Data with
ownership
rights
Closed
Organizational
Data
Where “our” data come from? 7

8. Open Innovation
Pit Stops
Hands-on help with specific issues around growth and scaling from
our network of high-calibre experts
Intense experience over two days
10-30 growing companies, deep technical experts, academics and
students, larger corporates
Co-creation workshop
Bring together relevant stakeholders to identify
problems, better scope them, design solutions

9. Trust Framework Initiative
Unlocking personal data value

10. Personal Data sharing: The Opportunities 10
• Data are currently silo’d – Generated and exploited vertically
• More horizontal opportunities are possible
For example:
• Mobile phone data to alert social
care if patient is unexpectedly idle
• Shopping data maybe used to
inform healthcare advice
• Band data to inform of retail
offers e.g. “bought broadband 12
months ago… so”

11. Personal Data sharing: The Barriers
Building Trust: Need to empower the customer:
Ethics: Recognize & respect the consumer’s
whishes
Control: Give tools/dashboards to enable real
control
Compliance: Verify orgs are sticking to rules
Communication: Kitemark to show whose in the
ethical sharing club
Remove Friction: Need to solve three sources of friction:
Technical: How to define and physically
transfer the data
Legal: How to establish the users identity and
assert permission within each silo’d system
Commercial: How to agree the price of access/
transfer

12. TFI: The “Collaborative” Approach 12
Trust Framework
development (phase 1):
(Align to existing models
and base development)
Customer stream
BSI process
User experience stream
Commercial stream
Legal stream
Technical stream
UseCase1:
Social&Health
UseCase2:
Marketing
UseCase3:
PortableKYC
UseCase4:
Valuewith
policy
The steps:
• Identify work stream
leaders
• Identify involved
stakeholders
• Build the network and
co-create the solution
BSI11000

13. TFI: The “Collaborative” Approach – Phase 1
OPDS/
SA
A HUB that combines all
the innovations: PD
challenges solved
Market place, IoT data,
Open ecosystem, CA
Standardized protocol and
data, value of behavioral
data, Data Engines
Mobile sensing data,
distributed approach,
scientific/academic
community
UK legacy, PDS and IP,
developers community

14. Closed Organizational Data
The Data Catalyser

15. Data Catalyser: The Problem
• 90% of data are close or personal
• More value can be generated if data could be used for more than one purpose
• Need for a secure environment
• To open up some of the closed data
• Safely mix closed data
• Let innovators experiment with them
• Identify new values and new business
• Open more data up if greater value can be achieved

16. Convene Data Providers
1
11
Data Catalyser: The “Collaborative” Approach

17. Convene Data Providers
1
Some Data Experts are selected to join
the project and analyse the data
1 2
Data Catalyser: The “Collaborative” Approach

18. 1
Convene Data Providers
and contribute closed data
Some Data Experts are selected to join
the project and analyse the data
1 Data gets mixed up and analysed. New
insights are discovered.
22
3
Data Catalyser: The “Collaborative” Approach

19. The Internet of Things
Co-creating use cases for the Camden
Council

20. The Internet of Things: Our asset
• Can connect 1M of sensing devices
• Up to 10 Km range
• For over 10 Years on a single battery
• With 2 GBP devices

21. The Internet of Things: The “Collaborative” Approach
Maximize the outcome, support the
efforts
Council savings wrt to involved citizens
Other Councils can be involved, we will
deploy and provide Base Stations in
other Catapult Centers – Brighton,
Sunderland, Bradford, more..
Smart Parking
Pollution
Reduction
Parking
Environment
Social caring
Assets
Demonstrate and
replicate
Co-creation workshop with
Camden council representatives
21
We present the
technology:
What we can sense,
where, how
We ask what will
they do and why
with the
information

22. Is any of this project of interest? 22

23. Thank you
Digital Catapult Centre
101 Euston Road
London
NW1 2RA
Michele Nati, PhD
Privacy and Trust Technical Leader
Mob: +44 (0)7909189428
Email: michele.nati@cde.catapult.org.uk
www.digitalcatapultcentre.org.uk