Research infrastructure on consumer health and food intake using e-science with linked data sharing

19 Pages·2017·1.53 MB·English

Presenter: Monique Raats
Date: 17/11/2017
Occasion: Digitising agriculture and food value
chains. Research and innovation delivering on
EU policy objectives, Brussels
Research Infrastructure on Consumer Health and Food
Intake using E-science with Linked Data Sharing
Monique Raats, University of Surrey
[email protected]
The challenge
The dietary behaviours of 9
billion people in 2050 determine
not only their physical health,
mental and social well-being, but
also the sustainability of the
food system that produces these
diets within planetary boundaries
The future of our planet is on our plates
Societal trends
Digitalisation
o Data platforms, linked open data, standards
o Apps, sensors, wearables
Consumers
Personalisation
and Data
o Individual feedback structures
o Quantified self
Globalisation
o Global markets and global SDGs
o Internet
Integration
o Fragmentation in sectoral policies and practices to be overcome
Citizen science
o Citizens become engaged in research
Connecting food, nutrition and health
The consumer as link between the Agrifood and Health sectors

Societal challenges
Societal challenges
Food security
Nutrition and health
Food safety
Demographic change
Sustainability Food Policy Environment
Wellbeing
Climate change Social Environment

public public
Agrofood Consumer Health
why & what do we eat?
sector sector
how does it affect health?
private private
p. 4 16.11.17 www.eurodish.eu
DISH domain
'DISH' model:
4 key building blocks
of food, nutrition and
health research
p. 5 16.11.17 www.eurodish.eu
Key needs for Food, Nutrition & Health RI
CESSDA
SHARE
innovation
ESS ECRIN
Need = connecting pillars
overarching
H

r e
o
a
tc D I S H tl
e h
s Public- GloboDiet Public- c
d a
o private EuroFIR JPI/ENPADASI private r
o e

f RICHFIELDS s
i e
r
g c
t
A Need for RI Emerging RIs o
r

No RI connecting DISH pillars
ELIXIR
No RI specific for F&H domain
EATRIS
EBI
BBMRI
MetaboHUB
p. 6 16.11.17 www.eurodish.eu
Problem  Potential Food purchase
• Existing datasets not sufficient for understanding consumer
behaviour, product development, public health policies
• Every day, consumers & businesses generate “big data”
• Potential to link & analyse data & respond to societal Food preparation
challenges

RICHFIELDS is exploring integration of data generated by:
• Consumers, e.g. apps, sensors
Food consumption
• Businesses, including retail, e-commerce, insurance; e.g.
sales
• Research, including EU and International; e.g. surveillance
data, personalised nutrition

RICHFIELDS Inventory Management System (RIMS)
Characterising apps - Quality Criteria
Descriptive Criteria Scientific Criteria Technical Criteria Legal/Ethical Criteria
What is it? Is it useful? Can we access it? Can we use it?
• Data Types • Lifestyle Data • Is data • Terms of use
• Home page • Situational Characteristics accessible? • Privacy Policy
• Contact Information • Types of Situational Characteristics • Types of • Data ownership
• Supported platforms • Product Characteristics Access • Data usage vendor
• Paid Services • External Device • Data Formats • Personal information
• Medical Device • Data integration with partner tools • Authentication • Types of personal
• Preparation Categories • What was purchased/ • Price information
• Price of IOS app prepared/consumed? • Amount • Public profile
• Languages • What was purchased/ • Privacy settings
• Itunes user rating prepared/consumed? • Device data
• Itune Genre • What was prepared? • Types of device data
• Current IOS apps • Act or Intention? • Cookies
• Minimum Android • Units of purchase/ preparation/ • Web beacons
version consumption? • Data storage