1. The Data LAB: An overview
Darran Gardner, Business Development Executive (Glasgow

2. The Data Lab Mission
Value: Create economic and social value for Scotland through the application of data science.
Enablement: Facilitate value creation through funding and resources. The goal is not to make a profit or take IP.
Market led: Operating in partnership with Industry, Public Sector and Academia.

3. Innovation Centres

4. Landscape Academia & related Industry Public sector Innovation
Alan Turing Institute
Industry
Academia & related
Innovation
Public sector

5. Operating model
Based in Edinburgh (EU, admin centre), Aberdeen (RGU) & Glasgow (GU).
Financial Services, Government, Health, Oil & Gas, Online & Digital
Will work with Industry, Public Sector and SICSA universities across Scotland.

6. Head of Business Development Head of Product Management
The Data Lab Organisation
CEO
Gillian Docherty
Head of Business Development
Jude McCorry
BDE Edinburgh
Andrew Mitchell
Marketing and Communications
Cecilia Bouroncle
Head of Operations
Dave Fitch
Project Manager
Michelle Galea
Head of Product Management
Brian Hills PA
Craig Skeldon
Innovation Advisory Group
Education Advisory Group
Finance Controller
Manolo Perez
Legal and Contracts
TBH
BDE Aberdeen Duncan Hart
BDE Glasgow
Darran Gardner
Lead Data Scientist
Data Scientist
Roman Popat
Richard Carter
HR (PT)
Cheryl Stewart

7. Collaborative innovation
Enablers
Demand driven & open calls
Industry & public sector challenges
Strategic bids & IC collaboration
Collaborative innovation
Data Science MSc
PhD funding, partnering with industry
Online learning
Skills and training
Workshops & conferences
Technical talks
Community sponsorship
Community building

8. Collaborative innovation
Biz dev
Workshops
Feasibility
Project

9. Public Policy Data Challenge
Prevention
Citizen
engagement
Reducing
Inequality

10. The Data Lab: Value from Data
We welcome “problem” or “challenge” owners from the private and public sectors to engage with The Data Lab
We will fund projects and facilitate match funding (industry, SE, Innovate UK, EU, etc) to support academic engagement
Quick-start research/ exploratory projects (<£20k)
Medium-scale projects (~£50k) 3 to 6 months duration
Large projects and strategic engagements (£50-200k+)
Themed calls (e.g. FinTech in 2015) funding multiple projects
Ultimately, we want to see economic and social impact

11. There’s more to data than size…
Volume (the scale of data)
Velocity (speed of change)
Veracity (uncertainty of data)
Variety (different forms of data)
Vulnerability (security and privacy)
Visualisation (and other forms of interaction)

12. What makes a good big data project?
Question (scoping to clearly define)
Data Capture (quantity, quality, real time v batch, security / anonymity)
Data Model (the how, e.g. Hadoop)
Analyse (the process)
Inform (the output)

13. What makes a good big data project?
Delivery team / skills
Right mix/experience: BD architectures, BD techniques (stats/ maths/ machine learning), programming, soft skills
Scale / integration/ roll-out / commercialisation

14. What makes a ‘bad’ big data project?
Asking the wrong questions
Selecting the wrong uses
Lacking the rights skills
Accessing the correct data
Disagreement on enterprise strategy
Data silos
Management resistance
Problem avoidance
Source:  Svetlana Sicular, Gartner

15. Insti­tute for Data-Intensive Research (IDIR)
What makes for a good data project?

16. Events Event Location Date Data science meet-up Edinburgh 20 Aug
Venturefest
Glasgow
9 Sept
ScotSoft 2015
17 Sept
FinTech 2015
8 Oct
MSc workshop 1
13 Oct
Datakind
19 Oct
Big Data & Banking conf
New York
5 Dec
Big Data Scotland
10 Dec

17. Contact: TheDataLab. com @DataLabScotland Darran. Gardner@TheDataLab
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