Research Infrastructure on Consumer Health and Food Intake using E-science with Linked Data Sharing

Transcription

1 Presenter: Mnique Raats Date: 17/11/2017 Occasin: Digitising agriculture and fd value chains. Research and innvatin delivering n EU plicy bjectives, Brussels Research Infrastructure n Cnsumer Health and Fd Intake using E-science with Linked Data Sharing Mnique Raats, University f Surrey m.raats@surrey.ac.uk

2 The challenge The dietary behaviurs f 9 billin peple in 2050 determine nt nly their physical health, mental and scial well-being, but als the sustainability f the fd system that prduces these diets within planetary bundaries The future f ur planet is n ur plates

3 Digitalisatin Scietal trends Data platfrms, linked pen data, standards Apps, sensrs, wearables Persnalisatin Glbalisatin Integratin Individual feedback structures Quantified self Glbal markets and glbal SDGs Internet Fragmentatin in sectral plicies and practices t be vercme Citizen science Citizens becme engaged in research Cnsumers and Data

4 Cnnecting fd, nutritin and health The cnsumer as link between the Agrifd and Health sectrs Scietal challenges Fd security Fd safety Sustainability Climate change Fd Plicy Envirnment Scial Envirnment Scietal challenges Nutritin and health Demgraphic change Wellbeing public private Agrfd sectr Cnsumer why & what d we eat? hw des it affect health? Health sectr public private p

5 DISH dmain 'DISH' mdel: 4 key building blcks f fd, nutritin and health research p

6 Agri fd sectr Key needs fr Fd, Nutritin & Health RI ESS Publicprivate D CESSDA innvatin Need = cnnecting pillars verarching Need fr RI I GlbDiet EurFIR RICHFIELDS S JPI/ENPADASI Emerging RIs SHARE H ECRIN Publicprivate Health care sectr ELIXIR EBI N RI cnnecting DISH pillars N RI specific fr F&H dmain MetabHUB BBMRI EATRIS p

7 Prblem Ptential Existing datasets nt sufficient fr understanding cnsumer behaviur, prduct develpment, public health plicies Fd purchase Every day, cnsumers & businesses generate big data Ptential t link & analyse data & respnd t scietal challenges Fd preparatin RICHFIELDS is explring integratin f data generated by: Cnsumers, e.g. apps, sensrs Businesses, including retail, e-cmmerce, insurance; e.g. sales Fd cnsumptin Research, including EU and Internatinal; e.g. surveillance data, persnalised nutritin

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9 RICHFIELDS Inventry Management System (RIMS) Characterising apps - Quality Criteria Descriptive Criteria What is it? Data Types Hme page Cntact Infrmatin Supprted platfrms Paid Services Medical Device Preparatin Categries Price f IOS app Languages Itunes user rating Itune Genre Current IOS apps Minimum Andrid versin Scientific Criteria Is it useful? Lifestyle Data Situatinal Characteristics Types f Situatinal Characteristics Prduct Characteristics External Device Data integratin with partner tls What was purchased/ prepared/cnsumed? What was purchased/ prepared/cnsumed? What was prepared? Act r Intentin? Units f purchase/ preparatin/ cnsumptin? Technical Criteria Can we access it? Is data accessible? Types f Access Data Frmats Authenticatin Price Amunt Legal/Ethical Criteria Can we use it? Terms f use Privacy Plicy Data wnership Data usage vendr Persnal infrmatin Types f persnal infrmatin Public prfile Privacy settings Device data Types f device data Ckies Web beacns Data strage

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11 Fd purchase Descriptive Criteria What is it? Categries are: Knwledge & understanding Planning and rganisatin Making a purchase Financial understanding Scientific Criteria Is it useful? Types f determinants: Individual (i.e. demgraphic, psychlgical, situatinal) Interpersnal (i.e. scial) Envirnmental (i.e. prduct, mes/macr) Technical Criteria Can we access it? N apps explicitly stating n data accessibility, but mst apps did nt prvide any infrmatin n this Majrity f apps that allwed data access did nt prvide infrmatin n the issue Legal/Ethical Criteria Can we use it? Majrity f apps had a terms f use and/r a privacy plicy dcument available Where a terms f use dcument existed, the majrity f apps had n infrmatin n data wnership Cnclusins fr fd purchase apps Prmising pssibilities t utilize purchase app data fr mhealth purpses Lack f infrmatin exists in many cases, thus justifying a clarificatin frm app vendrs regarding data accessibility, data wnership and assciated public privacy issues. Frm a technical perspective, n reasn t believe that data accessibility is an issue.

12 Fd preparatin Descriptive Criteria What is it? Categries are: Planning and rganisatin Knwledge & understanding Meal preparatin/ cking Scientific Criteria Is it useful? Types f determinants: Individual (i.e. demgraphic, psychlgical) Interpersnal (i.e. scial, cultural) Envirnmental (i.e. prduct, micr, mes/macr) Technical Criteria Can we access it? Majrity f apps that allwed data access did nt prvide infrmatin n the issue Legal/Ethical Criteria Can we use it? Nt all apps had terms f use dcumentatin Mst prvided a privacy plicy dcument Where a terms f use dcument existed thirdy f apps had n infrmatin n data wnership Cnclusins fr fd preparatin apps Ptential t answer questins relating t Individual Psychlgical determinants, such as fd beliefs, habits and self-regulatin in relatin t fd. Hwever, the limited availability f cntextual data means that much f this data is detached frm the user. The intercnnectedness f the apps presents new pprtunities t further enrich the cllected data frm external surces. There is the ptential t create links between multiple app usages frm a single user, particularly scial media

13 Fd cnsumptin Descriptive Criteria What is it? Fd diaries are the mst cmmn frm f data cllectin, ften allwing fr multiple inputs including generic fd items, packaged prducts, r images Scientific Criteria Is it useful? Fd cnsumptin data is interlinked with varius types f relevant cntextual data related t behaviural mtivatin, physical activity, health and fitness. Technical Criteria Can we access it? The majrity f apps lack technical dcumentatin necessary fr data exprt and integratin. Legal/Ethical Criteria Can we use it? Similar lack f dcumentatin related t the implemented terms f use and privacy plicies. While users are usually the wners f their data, vendrs are granted an irrevcable and ryalty free explitatin license. Cnclusins fr fd cnsumptin apps Due t its magnitude, diversity and intercnnectedness, user-dcumented fd cnsumptin data ffers a prmising pprtunity fr a better understanding f habitual fd cnsumptin behaviur and its determinants. Unstandardized r undcumented fd intake assessment prcedures, data exchange prtcls and frmats, terms f use and privacy regulatins, hwever, limit pssibilities t integrate, prcess and share user-dcumented fd cnsumptin

14 Range f data types being shared Data sharing cntext Legal/ethical criteria - Can we use it? - Data sharing study Scientists in universities and publically funded research institutes need data t study the relatinship between fd and health. Gvernments need data t develp and mnitr nutritin plicies in place t imprve fd and health. Cmpanies that prduce r sell fds and drinks (e.g. manufacturers, retail chains, restaurants, fd delivery services) need data t d research t develp and imprve their prducts. Predictrs f willingness t share data Trust and cnfidence in rganizatin handling data Privacy cncerns Reasns fr sharing Values (hw yu see the wrld) Attitudes t science Attitudes t fd and health Cking practices Perceived health

15 Landing page FNH-RI 15

16 Fd, Nutritin & Health RI timeline FNH-RI Fundatin Grwth f Member States and stakehlders invlved <--Preparatry phase--><----design phase---->< implementatin phase > Fully peratinal Fd, Nutritin & Health RI Research prjects: Member State and EU level (H2020, JPI, etc.) RI building, Member State level and EU level funding

17 Fd, Nutritin & Health RI Radmap: phased gvernance maturity Preparatry Phase Simple fundatin structure f the 4 cre partners t facilitate cllabratin thrugh MUs and prjects Develp FNH Industry Frum Initial Phase Simple fundatin linked t cnsrtium agreement Includes new partners and new natinal ndes, Scientific and Industry Frums, Dependent n prject duratin Implementatin Phase Mature gvernance structure based n sustainable structures (legal rganisatin) Building the business mdel 17

18 Fd, Nutritin & Health RI Gvernance principle Hub and spke mdel FNH-RI Member States FNH-RI Natinal Nde 1 Natinal funding FNH-RI FNH-RI Natinal Nde 2 Natinal funding FNH-RI ESFRI funding FNH-RI Natinal Nde 3 Natinal funding The Netherlands: Natinal Institute fr Public Health and Envirnment Wageningen University and Research Centre University f Maastricht University Medical Centre Maastricht University f Grningen University Medical Centre Grningen TNO Italy: Cnsigli Nazinale delle Ricerche (CNR) Fd and Nutritin Research Center f the Italian Agricultural Research Cuncil (CRA NUT) Parc Tecnlgic Padn Mediterranean Fndatin Terina Fndazine Edmund Mach University f Blgna United Kingdm: Quadram University f Surrey University f East Anglia Nrflk Nrwich University Hspital FdFrce Netwrk f leading Eurpean research prvider rganisatins Denmark:Technical University f Denmark University f Cpenhagen Aarhus University Aalbrg University University f Suthern Denmark France: Institut Natinal de la Recherche Agrnmique University f Claude Bernard Lyn Centre Eurpeen pur la Nutritin et la Sante University Paris Internatinal Agency fr Research n Cancer Slvakia: Nitra University (SUA) Natinal Agriculture and Fd Center (NPCC) AgrBiTech

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