Introduction to Quisper from the launch event: Quality information services for personalized nutrition and lifestyle advice ( www.quisper.eu) developed during the FP7 funded QuaLiFY project.
Quisper launch: 5. Demonstration of Quisper 2 - Field lab - Andre BoorsmaQuisper
Demonstration of Quisper from the launch event: Quality information services for personalized nutrition and lifestyle advice (www.quisper.eu) developed during the FP7 funded QuaLiFY project. Example of how Quisper was used in a field lab.
Quisper launch: 1. QuaLiFY introduction - Ben van OmmenQuisper
Introduction to the FP7 funded QuaLiFY project from the Quisper launch event: Quality information services for personalized nutrition and lifestyle advice. www.quisper.eu
La presentazione italiana del progetto eurogene effettuata durante il CIP-ICT Open Day di Roma. Contiene informazioni specifiche sulla sostenibilità del progetto.
(ATS6-APP03) Thomson Rueters Content used in Acclrys Pipeline PilotBIOVIA
Thomson Reuters content is used in Pipeline Pilot to provide interactive reports and visualizations. The Investigational Drugs API allows users to view relationships between drugs, indications, and mechanisms of action. Text analytics tools analyze scientific key opinion leaders by extracting author metrics from Web of Science content and building collaboration networks. Major challenges include author disambiguation when analyzing scientific publications. Live demos show interactive network visualizations of investigational drug data from the Thomson Reuters API.
The Integrated Breeding Platform (IBP) provides breeders with access to high-throughput breeding services, logistics and data management tools, analysis pipelines, decision support tools, and communities of practice to deploy molecular breeding technologies. The IBP aims to be a one-stop-shop for plant breeders. It offers various services, tools, and communities to support the entire breeding workflow from parental selection to final product.
The document proposes using a decentralized autonomous organization (DAO) model to create an open platform for healthcare data sharing. It outlines using a DAO to develop natural language processing (NLP) and DAO pipelines to analyze healthcare data. The DAO would provide incentives for patients, businesses, non-profits, governments and developers to share data and participate. An initial minimum viable product would be built in 2022, with additional features and integrations added through 2023, including applications like clinical trials platforms and data marketplaces.
Quisper launch: 5. Demonstration of Quisper 2 - Field lab - Andre BoorsmaQuisper
Demonstration of Quisper from the launch event: Quality information services for personalized nutrition and lifestyle advice (www.quisper.eu) developed during the FP7 funded QuaLiFY project. Example of how Quisper was used in a field lab.
Quisper launch: 1. QuaLiFY introduction - Ben van OmmenQuisper
Introduction to the FP7 funded QuaLiFY project from the Quisper launch event: Quality information services for personalized nutrition and lifestyle advice. www.quisper.eu
La presentazione italiana del progetto eurogene effettuata durante il CIP-ICT Open Day di Roma. Contiene informazioni specifiche sulla sostenibilità del progetto.
(ATS6-APP03) Thomson Rueters Content used in Acclrys Pipeline PilotBIOVIA
Thomson Reuters content is used in Pipeline Pilot to provide interactive reports and visualizations. The Investigational Drugs API allows users to view relationships between drugs, indications, and mechanisms of action. Text analytics tools analyze scientific key opinion leaders by extracting author metrics from Web of Science content and building collaboration networks. Major challenges include author disambiguation when analyzing scientific publications. Live demos show interactive network visualizations of investigational drug data from the Thomson Reuters API.
The Integrated Breeding Platform (IBP) provides breeders with access to high-throughput breeding services, logistics and data management tools, analysis pipelines, decision support tools, and communities of practice to deploy molecular breeding technologies. The IBP aims to be a one-stop-shop for plant breeders. It offers various services, tools, and communities to support the entire breeding workflow from parental selection to final product.
The document proposes using a decentralized autonomous organization (DAO) model to create an open platform for healthcare data sharing. It outlines using a DAO to develop natural language processing (NLP) and DAO pipelines to analyze healthcare data. The DAO would provide incentives for patients, businesses, non-profits, governments and developers to share data and participate. An initial minimum viable product would be built in 2022, with additional features and integrations added through 2023, including applications like clinical trials platforms and data marketplaces.
IFD&TC 2018: A Novel Approach for Conveniently and Securely Collecting Person...Lew Berman
This document summarizes a feasibility study to securely aggregate personal health data from various sources outside of clinical settings. The study aims to demonstrate how individuals can provide access to their health kiosk and wearable device data through an internet-based platform. It conceptualizes using the higi health data aggregation platform to retrieve data from kiosks, devices, and apps and store it in a study management database. The output shows the data was returned securely in JSON format and included measurements, activity histories, and device updates. Some limitations are the lack of detailed sample data and need for alternative approaches for bio-specimen collection.
This document discusses the agriOpenLink project, which aims to develop open interfaces, linked data, and services to enable adaptive agricultural processes. It outlines problems with closed systems currently used in agriculture. The project seeks to develop ontologies, semantic web services, and a process composition framework to achieve interoperability between systems. This will allow dynamic composition of agricultural processes from annotated services. Challenges include further developing domain models and ontologies, implementing plug-in APIs and semantic services, and building workflow and recommendation components. The goal is to offer practical open-source tools to help developers create new adaptive applications for livestock management and experimental farming.
The document discusses chemistry informatics at Pfizer, including past, present, and future states. It notes that drug discovery is a long, expensive, and risky process. Informatics costs are rising while budgets are shrinking, driving changes towards more flexible infrastructure like service-oriented architecture. The current state implements common services and applications through a composite application model. The future state envisions more modular, reusable components and services delivered through an integrated analysis workbench to support drug discovery.
BioCatalogue talk by Carole Goble. She outlines in these slides the reasons behind the BioCatalogue project. And present the BioCatalogue and its goals.
This presentation will outline the innovative processes and techniques we are using to capture the data, information and knowledge surrounding Algae cultivation in NWE Europe with a view to developing sophisticated decision support tools. These tools will enable stakeholders to explore current activities and potential opportunities in their region and understand the economic, environmental and legislative issues surrounding the cultivation of algae for energy.
The document introduces Tag.bio as a low-code analytics application platform built from interconnected data products in a data mesh architecture. It consists of data, algorithms, and analysis apps contributed by different groups - data engineers, data scientists, and domain experts. The platform can integrate various data sources and enable collaboration between groups. It then provides demos of the Tag.bio developer studio and data portal. Key capabilities discussed include integration with AWS services like AI/ML and HealthLake, as well as security features like confidential computing. Example use cases presented are for clinical trials, healthcare, life sciences, and universities.
A user journey in OpenAIRE services through the lens of repository managers -...OpenAIRE
A user journey in OpenAIRE services through the lens of repository managers (II – OpenAIRE dashboard for content providers, usage statistics and the catch-all broker service). OpenAIRE-connect & OpenAIRE Advance workshop at the Open Repositories Conference, June 10, 2019, Hamburg.
Why the food sector needs a research infrastructure on Food and Health Consum...e-ROSA
Bent Egberg Mikkelsen and Karin Zimmermann's presentation at the eROSA Workshop “Towards Open Science in Agriculture & Food”, a side event to High Level conference on FOOD 2030, Plovdiv, Bulgaria (13/6/2018)
Jisc updates - Jisc research data shared service Jisc
The document describes Jisc's Research Data Shared Service, which will launch in autumn 2018. It will provide three standard service options - an end-to-end service, repository service, and preservation service. All three options will include financial benefits, adherence to standards, advisory support, and network membership. The service is part of Jisc's efforts to support the research publication and data lifecycle.
LiquiLume Diagnostics develops molecular diagnostic devices that can detect individual molecules rapidly and inexpensively. Their initial focus is on nucleic acid testing (NAT) and protein biomarkers. They plan to first sell to research laboratories for research use only, then pursue FDA clearance to sell to clinical labs and hospitals. Their technology allows highly automated sample processing and analysis at low concentrations and low cost compared to standard methods.
apidays LIVE Australia 2021 - Planning Your Steps to Data Economy Using APIOp...apidays
apidays LIVE Australia 2021 - Accelerating Digital
September 15 & 16, 2021
Planning Your Steps to Data Economy Using APIOps Cycles
Marjukka Niinioja, Founding Partner, APItalista at Osaango Oy
At a time when the data explosion has simply been redefined as “Big”, the hurdles associated with building a subject-specific data repository for chemistry are daunting. Combining a multitude of non-standard data formats for chemicals, related properties, reactions, spectra etc., together with the confusion of licensing and embargoing, and providing for data exchange and integration with services and platforms external to the repository, the challenge is significant. This all at a time when semantic technologies are touted as the fundamental technology to enhance integration and discoverability. Funding agencies are demanding change, especially a change towards access to open data to parallel their expectations around Open Access publishing. The Royal Society of Chemistry has been funded by the Engineering and Physical Science Research of the UK to deliver a “chemical database service” for UK scientists. This presentation will provide an overview of the challenges associated with this project and our progress in delivering a chemistry repository capable of handling the complex data types associated with chemistry. The benefits of such a repository in terms of providing data to develop prediction models to further enable scientific discovery will be discussed and the potential impact on the future of scientific publishing will also be examined.
apidays LIVE Hong Kong 2021 - Planning Your Steps to Data Economy Using APIOp...apidays
This document discusses planning steps for data economy using APIOps Cycles. It introduces APIOps Cycles as a Lean and business-oriented method for collaborating between business and technology teams. It provides examples of using APIOps Cycle templates like the API Value Proposition Canvas to identify necessary APIs, their value propositions, and features to address customer pains and gains. The document advocates applying these templates to help plan and build APIs and ecosystems around water services data.
Prediction algorithms for food data analytics and intelligence: towards a bi...Big Data Grapes
The document discusses the development of a big data platform and prediction experimentation panel for food data analytics. The big data platform collects and processes food data from various sources. The prediction experimentation panel allows data scientists to select datasets, customize data and algorithms, run prediction experiments, and evaluate results. It aims to facilitate testing of machine learning algorithms for food price prediction and other applications in an interactive and customizable manner without requiring code changes. Future work includes integrating the prediction panel into the big data platform to enable sharing and experimentation across a community of users.
This slide deck is used to present the following paper:
S. Shahand, A. H. C. van Kampen, and S. D. Olabarriaga, "Science Gateway Canvas: A business reference model for Science Gateways", In Proceedings of the Science of Cyberinfrastructure: Research, Experience, Applications and Models, SCREAM'15, Portland, OR, USA, June 16 2015 (in conjunction with HPDC'15). DOI: http://dx.doi.org/10.1145/2753524.2753527
Connecting the Dots: How Open Health Data will Accelerate Care Delivery Innov...Apigee | Google Cloud
Former CTO of the Obama administration, Aneesh Chopra, joins Apigee’s health care transformation strategist, Aashima Gupta, to discuss how to foster an application ecosystem that leverages connected apps and data to implement patient-centric reform.
In this webcast we will discuss:
- imperatives to open up data across multiple EHRs, payers, government and remote monitoring services
- Project Argonaut, an open, industry-led “code sprint” to support FHIR-based APIs for patient data interoperability
- how APIs built on a secure platform will enable expanded information sharing for patient health records
- value and viability of low cost inter-operability through FHIR-based APIs at healthcare systems
Jisc Research Data Shared Service Open Repositories 2018 PaperJisc RDM
The document discusses Jisc's plans to develop a national research data shared service in the UK. It provides context on open science policies and the need for research data management and preservation. It then summarizes Jisc's proposal to create a multi-tenant research repository with integrated preservation systems. This would provide a scalable, sustainable platform to help universities meet requirements for managing and preserving research outputs including data, software, and publications. The service is currently in development with pilots planned, and would offer repositories, preservation, or an end-to-end solution to members.
Una guida per EPD (Environmental Product Declaration), è una dichiarazione ambientale di un prodotto: una certificazione volontaria che mette in evidenza le prestazioni ambientali di prodotto/processo/servizio per migliorarne la sostenibilità.
Does Over-Masturbation Contribute to Chronic Prostatitis.pptxwalterHu5
In some case, your chronic prostatitis may be related to over-masturbation. Generally, natural medicine Diuretic and Anti-inflammatory Pill can help mee get a cure.
- Video recording of this lecture in English language: https://youtu.be/kqbnxVAZs-0
- Video recording of this lecture in Arabic language: https://youtu.be/SINlygW1Mpc
- Link to download the book free: https://nephrotube.blogspot.com/p/nephrotube-nephrology-books.html
- Link to NephroTube website: www.NephroTube.com
- Link to NephroTube social media accounts: https://nephrotube.blogspot.com/p/join-nephrotube-on-social-media.html
More Related Content
Similar to Quisper launch: 3. Quisper introduction - Jo Goosens
IFD&TC 2018: A Novel Approach for Conveniently and Securely Collecting Person...Lew Berman
This document summarizes a feasibility study to securely aggregate personal health data from various sources outside of clinical settings. The study aims to demonstrate how individuals can provide access to their health kiosk and wearable device data through an internet-based platform. It conceptualizes using the higi health data aggregation platform to retrieve data from kiosks, devices, and apps and store it in a study management database. The output shows the data was returned securely in JSON format and included measurements, activity histories, and device updates. Some limitations are the lack of detailed sample data and need for alternative approaches for bio-specimen collection.
This document discusses the agriOpenLink project, which aims to develop open interfaces, linked data, and services to enable adaptive agricultural processes. It outlines problems with closed systems currently used in agriculture. The project seeks to develop ontologies, semantic web services, and a process composition framework to achieve interoperability between systems. This will allow dynamic composition of agricultural processes from annotated services. Challenges include further developing domain models and ontologies, implementing plug-in APIs and semantic services, and building workflow and recommendation components. The goal is to offer practical open-source tools to help developers create new adaptive applications for livestock management and experimental farming.
The document discusses chemistry informatics at Pfizer, including past, present, and future states. It notes that drug discovery is a long, expensive, and risky process. Informatics costs are rising while budgets are shrinking, driving changes towards more flexible infrastructure like service-oriented architecture. The current state implements common services and applications through a composite application model. The future state envisions more modular, reusable components and services delivered through an integrated analysis workbench to support drug discovery.
BioCatalogue talk by Carole Goble. She outlines in these slides the reasons behind the BioCatalogue project. And present the BioCatalogue and its goals.
This presentation will outline the innovative processes and techniques we are using to capture the data, information and knowledge surrounding Algae cultivation in NWE Europe with a view to developing sophisticated decision support tools. These tools will enable stakeholders to explore current activities and potential opportunities in their region and understand the economic, environmental and legislative issues surrounding the cultivation of algae for energy.
The document introduces Tag.bio as a low-code analytics application platform built from interconnected data products in a data mesh architecture. It consists of data, algorithms, and analysis apps contributed by different groups - data engineers, data scientists, and domain experts. The platform can integrate various data sources and enable collaboration between groups. It then provides demos of the Tag.bio developer studio and data portal. Key capabilities discussed include integration with AWS services like AI/ML and HealthLake, as well as security features like confidential computing. Example use cases presented are for clinical trials, healthcare, life sciences, and universities.
A user journey in OpenAIRE services through the lens of repository managers -...OpenAIRE
A user journey in OpenAIRE services through the lens of repository managers (II – OpenAIRE dashboard for content providers, usage statistics and the catch-all broker service). OpenAIRE-connect & OpenAIRE Advance workshop at the Open Repositories Conference, June 10, 2019, Hamburg.
Why the food sector needs a research infrastructure on Food and Health Consum...e-ROSA
Bent Egberg Mikkelsen and Karin Zimmermann's presentation at the eROSA Workshop “Towards Open Science in Agriculture & Food”, a side event to High Level conference on FOOD 2030, Plovdiv, Bulgaria (13/6/2018)
Jisc updates - Jisc research data shared service Jisc
The document describes Jisc's Research Data Shared Service, which will launch in autumn 2018. It will provide three standard service options - an end-to-end service, repository service, and preservation service. All three options will include financial benefits, adherence to standards, advisory support, and network membership. The service is part of Jisc's efforts to support the research publication and data lifecycle.
LiquiLume Diagnostics develops molecular diagnostic devices that can detect individual molecules rapidly and inexpensively. Their initial focus is on nucleic acid testing (NAT) and protein biomarkers. They plan to first sell to research laboratories for research use only, then pursue FDA clearance to sell to clinical labs and hospitals. Their technology allows highly automated sample processing and analysis at low concentrations and low cost compared to standard methods.
apidays LIVE Australia 2021 - Planning Your Steps to Data Economy Using APIOp...apidays
apidays LIVE Australia 2021 - Accelerating Digital
September 15 & 16, 2021
Planning Your Steps to Data Economy Using APIOps Cycles
Marjukka Niinioja, Founding Partner, APItalista at Osaango Oy
At a time when the data explosion has simply been redefined as “Big”, the hurdles associated with building a subject-specific data repository for chemistry are daunting. Combining a multitude of non-standard data formats for chemicals, related properties, reactions, spectra etc., together with the confusion of licensing and embargoing, and providing for data exchange and integration with services and platforms external to the repository, the challenge is significant. This all at a time when semantic technologies are touted as the fundamental technology to enhance integration and discoverability. Funding agencies are demanding change, especially a change towards access to open data to parallel their expectations around Open Access publishing. The Royal Society of Chemistry has been funded by the Engineering and Physical Science Research of the UK to deliver a “chemical database service” for UK scientists. This presentation will provide an overview of the challenges associated with this project and our progress in delivering a chemistry repository capable of handling the complex data types associated with chemistry. The benefits of such a repository in terms of providing data to develop prediction models to further enable scientific discovery will be discussed and the potential impact on the future of scientific publishing will also be examined.
apidays LIVE Hong Kong 2021 - Planning Your Steps to Data Economy Using APIOp...apidays
This document discusses planning steps for data economy using APIOps Cycles. It introduces APIOps Cycles as a Lean and business-oriented method for collaborating between business and technology teams. It provides examples of using APIOps Cycle templates like the API Value Proposition Canvas to identify necessary APIs, their value propositions, and features to address customer pains and gains. The document advocates applying these templates to help plan and build APIs and ecosystems around water services data.
Prediction algorithms for food data analytics and intelligence: towards a bi...Big Data Grapes
The document discusses the development of a big data platform and prediction experimentation panel for food data analytics. The big data platform collects and processes food data from various sources. The prediction experimentation panel allows data scientists to select datasets, customize data and algorithms, run prediction experiments, and evaluate results. It aims to facilitate testing of machine learning algorithms for food price prediction and other applications in an interactive and customizable manner without requiring code changes. Future work includes integrating the prediction panel into the big data platform to enable sharing and experimentation across a community of users.
This slide deck is used to present the following paper:
S. Shahand, A. H. C. van Kampen, and S. D. Olabarriaga, "Science Gateway Canvas: A business reference model for Science Gateways", In Proceedings of the Science of Cyberinfrastructure: Research, Experience, Applications and Models, SCREAM'15, Portland, OR, USA, June 16 2015 (in conjunction with HPDC'15). DOI: http://dx.doi.org/10.1145/2753524.2753527
Connecting the Dots: How Open Health Data will Accelerate Care Delivery Innov...Apigee | Google Cloud
Former CTO of the Obama administration, Aneesh Chopra, joins Apigee’s health care transformation strategist, Aashima Gupta, to discuss how to foster an application ecosystem that leverages connected apps and data to implement patient-centric reform.
In this webcast we will discuss:
- imperatives to open up data across multiple EHRs, payers, government and remote monitoring services
- Project Argonaut, an open, industry-led “code sprint” to support FHIR-based APIs for patient data interoperability
- how APIs built on a secure platform will enable expanded information sharing for patient health records
- value and viability of low cost inter-operability through FHIR-based APIs at healthcare systems
Jisc Research Data Shared Service Open Repositories 2018 PaperJisc RDM
The document discusses Jisc's plans to develop a national research data shared service in the UK. It provides context on open science policies and the need for research data management and preservation. It then summarizes Jisc's proposal to create a multi-tenant research repository with integrated preservation systems. This would provide a scalable, sustainable platform to help universities meet requirements for managing and preserving research outputs including data, software, and publications. The service is currently in development with pilots planned, and would offer repositories, preservation, or an end-to-end solution to members.
Una guida per EPD (Environmental Product Declaration), è una dichiarazione ambientale di un prodotto: una certificazione volontaria che mette in evidenza le prestazioni ambientali di prodotto/processo/servizio per migliorarne la sostenibilità.
Similar to Quisper launch: 3. Quisper introduction - Jo Goosens (20)
Does Over-Masturbation Contribute to Chronic Prostatitis.pptxwalterHu5
In some case, your chronic prostatitis may be related to over-masturbation. Generally, natural medicine Diuretic and Anti-inflammatory Pill can help mee get a cure.
- Video recording of this lecture in English language: https://youtu.be/kqbnxVAZs-0
- Video recording of this lecture in Arabic language: https://youtu.be/SINlygW1Mpc
- Link to download the book free: https://nephrotube.blogspot.com/p/nephrotube-nephrology-books.html
- Link to NephroTube website: www.NephroTube.com
- Link to NephroTube social media accounts: https://nephrotube.blogspot.com/p/join-nephrotube-on-social-media.html
Adhd Medication Shortage Uk - trinexpharmacy.comreignlana06
The UK is currently facing a Adhd Medication Shortage Uk, which has left many patients and their families grappling with uncertainty and frustration. ADHD, or Attention Deficit Hyperactivity Disorder, is a chronic condition that requires consistent medication to manage effectively. This shortage has highlighted the critical role these medications play in the daily lives of those affected by ADHD. Contact : +1 (747) 209 – 3649 E-mail : sales@trinexpharmacy.com
Muktapishti is a traditional Ayurvedic preparation made from Shoditha Mukta (Purified Pearl), is believed to help regulate thyroid function and reduce symptoms of hyperthyroidism due to its cooling and balancing properties. Clinical evidence on its efficacy remains limited, necessitating further research to validate its therapeutic benefits.
- Video recording of this lecture in English language: https://youtu.be/Pt1nA32sdHQ
- Video recording of this lecture in Arabic language: https://youtu.be/uFdc9F0rlP0
- Link to download the book free: https://nephrotube.blogspot.com/p/nephrotube-nephrology-books.html
- Link to NephroTube website: www.NephroTube.com
- Link to NephroTube social media accounts: https://nephrotube.blogspot.com/p/join-nephrotube-on-social-media.html
Rasamanikya is a excellent preparation in the field of Rasashastra, it is used in various Kushtha Roga, Shwasa, Vicharchika, Bhagandara, Vatarakta, and Phiranga Roga. In this article Preparation& Comparative analytical profile for both Formulationon i.e Rasamanikya prepared by Kushmanda swarasa & Churnodhaka Shodita Haratala. The study aims to provide insights into the comparative efficacy and analytical aspects of these formulations for enhanced therapeutic outcomes.
Clinic ^%[+27633867063*Abortion Pills For Sale In Tembisa Central19various
Clinic ^%[+27633867063*Abortion Pills For Sale In Tembisa Central Clinic ^%[+27633867063*Abortion Pills For Sale In Tembisa CentralClinic ^%[+27633867063*Abortion Pills For Sale In Tembisa CentralClinic ^%[+27633867063*Abortion Pills For Sale In Tembisa CentralClinic ^%[+27633867063*Abortion Pills For Sale In Tembisa Central
Quisper launch: 3. Quisper introduction - Jo Goosens
1. Quisper
Quisper – a platform to support
personalised nutrition services
***
Concept of the set-up, operation and structure
Jo Goossens
shiftN
Quisper introduction, Leuven 8 Dec 2015
2. Quisper Service PrincipleDatabaseand
knowledgerule
providers
Integrated platform
for sharing and
creating value from
scientific and
consumer
information
SUPPLIERS
Interest to join
Personalisednutrition
serviceorganisations
(+otherusers)
Integrated and
coherent source
(API) of all relevant
interpreted scientific
data and knowledge
for personalised
nutrition
CLIENTS
Interest to use
Scientific Research
Paid by volume
/frequency of use
Fee per PN
consultation
Operational
cost
Cost covered by membership
and % of consultation fees
EU project
databases
(free of cost)
Quisper, Leuven - 8/12/2015Jo Goossens - shiftN 2
Quisper
4. Virtual repository of
data and knowledge rules
from partners and provider
End- user interface (consumer, die cian, GP,…)
Food
composion
End-user query
LifeStyle
Foodrecipes
Food
consumpon
Phenotype
Genotype
Foodpictures
Reference
values
Metabotypes
Quality Label
(Quisper API
Inside)
Data user
Advice
App Design
Advice
Knowledge
rule design/
evalua onQuality Label
(Quisper
approved API)
App
performance
Quisper
database
Addi onal partner
services sellable
through the QSP
pla orm
Forma ng and
valida on of data
Quisper
Scien fic
Board
Quisper API
Quisper interface
(info, select, purchase, invoice
data/knowledge rules
and other services)
Partner
query
handling
Partner
App(s)
Client
App(s)
Valida on of
knowledge rules
Diagnos c
services
Recovered data from
EU research projects
Supplier
API
Partner
knowledge
rule
Supplier
database
Supplier
knowledge
rule
Partner
API
Supplier
API
Partner
API
Partner
API
Partner
database
Client
query
handling
Quisper interface – supply side
QuaLiFYServer Platform - elements&connections 1
Virtual repository of
dataand knowledge rules
from partnersand provider
End- user interface (consumer,dietician,GP,…)
Food
composition
NOpersonalised data
stored in QSP
End-user query
LifeStyle
Foodrecipes
Food
consumption
Phenotype
Genotype
Questionnair
es
Constraints
Persontypes
May include additional partner or
client specif cknowledge rules
Partner/client
stores
personalised
data
Quality
Label
(QuaLiFYAPI
Inside)
Datauser
Advice
App Design
Advice
Knowledge
rule design/
evaluationQuality
Label (QuaLiFY
approved API)
App
performance
measurement
QSPdatabase
Additional partner
servicessellable
through the QSP
platform
v3
Formattingand
validation of data
Scientif c
Board
QuaLiFYAPI
QSPinterface
(info,select,purchase,invoice
data/knowledge rules
and other services)
Partner
query
handling
Partner
App(s)
Client
App(s)
Validation of
knowledgerules
Diagnostic
services
Recovereddatafrom
EUresearch projects
Provider
API
Partner
knowledge
rule
Ext.Provider
database
Ext.Provider
knowledge
rule
Partner
API
Provider
API
Partner
API
Partner
API
Partner
database
Client
query
handling
Partners wishing to allow
access to their database and
knowledge rule (algorithms)
via their own API
Virtual repository of
data and knowledge rules
from partners and provider
End- user interface (consumer, die cian, GP,…)
Food
composion
End-user query
LifeStyle
Foodrecipes
Food
consumpon
Phenotype
Genotype
Foodpictures
Reference
values
Metabotypes
Quality Label
(Quisper API
Inside)
Data user
Advice
App Design
Advice
Knowledge
rule design/
evalua onQuality Label
(Quisper
approved API)
App
performance
Quisper
database
Addi onal partner
services sellable
through the QSP
pla orm
Forma ng and
valida on of data
Quisper
Scien fic
Board
Quisper API
Quisper interface
(info, select, purchase, invoice
data/knowledge rules
and other services)
Partner
query
handling
Partner
App(s)
Client
App(s)
Valida on of
knowledge rules
Diagnos c
services
Recovered data from
EU research projects
Supplier
API
Partner
knowledge
rule
Supplier
database
Supplier
knowledge
rule
Partner
API
Supplier
API
Partner
API
Partner
API
Partner
database
Client
query
handling
QuaLiFYServer Platform - elements&connections 1
Virtual repository of
dataand knowledge rules
from partnersand provider
End- user interface (consumer,dietician,GP,…)
Food
composition
NOpersonalised data
stored in QSP
End-user query
LifeStyle
Foodrecipes
Food
consumption
Phenotype
Genotype
Questionnair
es
Constraints
Persontypes
May include additional partner or
client specif cknowledge rules
Partner/client
stores
personalised
data
Quality
Label
(QuaLiFYAPI
Inside)
Datauser
Advice
App Design
Advice
Knowledge
rule design/
evaluationQuality
Label (QuaLiFY
approved API)
App
performance
measurement
QSPdatabase
Additional partner
servicessellable
through the QSP
platform
v3
Formattingand
validation of data
Scientif c
Board
QuaLiFYAPI
QSPinterface
(info,select,purchase,invoice
data/knowledge rules
and other services)
Partner
query
handling
Partner
App(s)
Client
App(s)
Validation of
knowledgerules
Diagnostic
services
Recovereddatafrom
EUresearch projects
Provider
API
Partner
knowledge
rule
Ext.Provider
database
Ext.Provider
knowledge
rule
Partner
API
Provider
API
Partner
API
Partner
API
Partner
database
Client
query
handling
3rd parties will be invited to
offer access to their
database and knowledge
rule (algorithms) via their
own API
Virtual repository of
data and knowledge rules
from partners and provider
End- user interface (consumer, die cian, GP,…)
Food
composion
End-user query
LifeStyle
Foodrecipes
Food
consumpon
Phenotype
Genotype
Foodpictures
Reference
values
Metabotypes
Quality Label
(Quisper API
Inside)
Data user
Advice
App Design
Advice
Knowledge
rule design/
evalua onQuality Label
(Quisper
approved API)
App
performance
Quisper
database
Addi onal partner
services sellable
through the QSP
pla orm
Forma ng and
valida on of data
Quisper
Scien fic
Board
Quisper API
Quisper interface
(info, select, purchase, invoice
data/knowledge rules
and other services)
Partner
query
handling
Partner
App(s)
Client
App(s)
Valida on of
knowledge rules
Diagnos c
services
Recovered data from
EU research projects
Supplier
API
Partner
knowledge
rule
Supplier
database
Supplier
knowledge
rule
Partner
API
Supplier
API
Partner
API
Partner
API
Partner
database
Client
query
handling
Virtual repository of
data and knowledge rules
from partners and provider
End- user interface (consumer, die cian, GP,…)
Food
composion
End-user query
LifeStyle
Foodrecipes
Food
consumpon
Phenotype
Genotype
Foodpictures
Reference
values
Metabotypes
Quality Label
(Quisper API
Inside)
Data user
Advice
App Design
Advice
Knowledge
rule design/
evalua onQuality Label
(Quisper
approved API)
App
performance
Quisper
database
Addi onal partner
services sellable
through the QSP
pla orm
Forma ng and
valida on of data
Quisper
Scien fic
Board
Quisper API
Quisper interface
(info, select, purchase, invoice
data/knowledge rules
and other services)
Partner
query
handling
Partner
App(s)
Client
App(s)
Valida on of
knowledge rules
Diagnos c
services
Recovered data from
EU research projects
Supplier
API
Partner
knowledge
rule
Supplier
database
Supplier
knowledge
rule
Partner
API
Supplier
API
Partner
API
Partner
API
Partner
database
Client
query
handling
Quisper organises access
to/storage of EU project
databases (free access)
Virtual repository of
data and knowledge rules
from partners and provider
End- user interface (consumer, die cian, GP,…)
Food
composion
End-user query
LifeStyle
Foodrecipes
Food
consumpon
Phenotype
Genotype
Foodpictures
Reference
values
Metabotypes
Quality Label
(Quisper API
Inside)
Data user
Advice
App Design
Advice
Knowledge
rule design/
evalua onQuality Label
(Quisper
approved API)
App
performance
Quisper
database
Addi onal partner
services sellable
through the QSP
pla orm
Forma ng and
valida on of data
Quisper
Scien fic
Board
Quisper API
Quisper interface
(info, select, purchase, invoice
data/knowledge rules
and other services)
Partner
query
handling
Partner
App(s)
Client
App(s)
Valida on of
knowledge rules
Diagnos c
services
Recovered data from
EU research projects
Supplier
API
Partner
knowledge
rule
Supplier
database
Supplier
knowledge
rule
Partner
API
Supplier
API
Partner
API
Partner
API
Partner
database
Client
query
handling
Scientific Board advises on
acceptability of input
Quisper, Leuven - 8/12/2015Jo Goossens - shiftN 4
This is effectively outside of the QSP business model
because QSP does NOT control this, nor decides about
any management of it
5. Virtual repository of
data and knowledge rules
from partners and provider
End- user interface (consumer, die cian, GP,…)
Food
composion
End-user query
LifeStyle
Foodrecipes
Food
consumpon
Phenotype
Genotype
Foodpictures
Reference
values
Metabotypes
Quality Label
(Quisper API
Inside)
Data user
Advice
App Design
Advice
Knowledge
rule design/
evalua onQuality Label
(Quisper
approved API)
App
performance
Quisper
database
Addi onal partner
services sellable
through the QSP
pla orm
Forma ng and
valida on of data
Quisper
Scien fic
Board
Quisper API
Quisper interface
(info, select, purchase, invoice
data/knowledge rules
and other services)
Partner
query
handling
Partner
App(s)
Client
App(s)
Valida on of
knowledge rules
Diagnos c
services
Recovered data from
EU research projects
Supplier
API
Partner
knowledge
rule
Supplier
database
Supplier
knowledge
rule
Partner
API
Supplier
API
Partner
API
Partner
API
Partner
database
Client
query
handling
Quisper interface – demand side
Basic service for
clients on how
to use and select
Quisper data/KR
Virtual repository of
data and knowledge rules
from partners and provider
End- user interface (consumer, die cian, GP,…)
Food
composion
End-user query
LifeStyle
Foodrecipes
Food
consumpon
Phenotype
Genotype
Foodpictures
Reference
values
Metabotypes
Quality Label
(Quisper API
Inside)
Data user
Advice
App Design
Advice
Knowledge
rule design/
evalua onQuality Label
(Quisper
approved API)
App
performance
Quisper
database
Addi onal partner
services sellable
through the QSP
pla orm
Forma ng and
valida on of data
Quisper
Scien fic
Board
Quisper API
Quisper interface
(info, select, purchase, invoice
data/knowledge rules
and other services)
Partner
query
handling
Partner
App(s)
Client
App(s)
Valida on of
knowledge rules
Diagnos c
services
Recovered data from
EU research projects
Supplier
API
Partner
knowledge
rule
Supplier
database
Supplier
knowledge
rule
Partner
API
Supplier
API
Partner
API
Partner
API
Partner
database
Client
query
handling
Virtual repository of
data and knowledge rules
from partners and provider
End- user interface (consumer, die cian, GP,…)
Food
composion
End-user query
LifeStyle
Foodrecipes
Food
consumpon
Phenotype
Genotype
Foodpictures
Reference
values
Metabotypes
Quality Label
(Quisper API
Inside)
Data user
Advice
App Design
Advice
Knowledge
rule design/
evalua onQuality Label
(Quisper
approved API)
App
performance
Quisper
database
Addi onal partner
services sellable
through the QSP
pla orm
Forma ng and
valida on of data
Quisper
Scien fic
Board
Quisper API
Quisper interface
(info, select, purchase, invoice
data/knowledge rules
and other services)
Partner
query
handling
Partner
App(s)
Client
App(s)
Valida on of
knowledge rules
Diagnos c
services
Recovered data from
EU research projects
Supplier
API
Partner
knowledge
rule
Supplier
database
Supplier
knowledge
rule
Partner
API
Supplier
API
Partner
API
Partner
API
Partner
database
Client
query
handling
Interface to handle all customer
queries, offering a catalogue of
what can be retrieved, set-up of
user queries and selecting
purchase options.
This is the end-user front-end of
the Quisper API platform
Virtual repository of
data and knowledge rules
from partners and provider
End- user interface (consumer, die cian, GP,…)
Food
composion
End-user query
LifeStyle
Foodrecipes
Food
consumpon
Phenotype
Genotype
Foodpictures
Reference
values
Metabotypes
Quality Label
(Quisper API
Inside)
Data user
Advice
App Design
Advice
Knowledge
rule design/
evalua onQuality Label
(Quisper
approved API)
App
performance
Quisper
database
Addi onal partner
services sellable
through the QSP
pla orm
Forma ng and
valida on of data
Quisper
Scien fic
Board
Quisper API
Quisper interface
(info, select, purchase, invoice
data/knowledge rules
and other services)
Partner
query
handling
Partner
App(s)
Client
App(s)
Valida on of
knowledge rules
Diagnos c
services
Recovered data from
EU research projects
Supplier
API
Partner
knowledge
rule
Supplier
database
Supplier
knowledge
rule
Partner
API
Supplier
API
Partner
API
Partner
API
Partner
database
Client
query
handling
Additional consultancy
services from partners
(optional)
Virtual repository of
data and knowledge rules
from partners and provider
End- user interface (consumer, die cian, GP,…)
Food
composion
End-user query
LifeStyle
Foodrecipes
Food
consumpon
Phenotype
Genotype
Foodpictures
Reference
values
Metabotypes
Quality Label
(Quisper API
Inside)
Data user
Advice
App Design
Advice
Knowledge
rule design/
evalua onQuality Label
(Quisper
approved API)
App
performance
Quisper
database
Addi onal partner
services sellable
through the QSP
pla orm
Forma ng and
valida on of data
Quisper
Scien fic
Board
Quisper API
Quisper interface
(info, select, purchase, invoice
data/knowledge rules
and other services)
Partner
query
handling
Partner
App(s)
Client
App(s)
Valida on of
knowledge rules
Diagnos c
services
Recovered data from
EU research projects
Supplier
API
Partner
knowledge
rule
Supplier
database
Supplier
knowledge
rule
Partner
API
Supplier
API
Partner
API
Partner
API
Partner
database
Client
query
handling
Quality Labels as marketing tool
for end-user offerings:
- with Quisper data
- with API validated by Quisper
(optional)
Quisper, Leuven - 8/12/2015Jo Goossens - shiftN 5
6. Virtual repository of
data and knowledge rules
from partners and provider
End- user interface (consumer, die cian, GP,…)
Food
composion
End-user query
LifeStyle
Foodrecipes
Food
consumpon
Phenotype
Genotype
Foodpictures
Reference
values
Metabotypes
Quality Label
(Quisper API
Inside)
Data user
Advice
App Design
Advice
Knowledge
rule design/
evalua onQuality Label
(Quisper
approved API)
App
performance
Quisper
database
Addi onal partner
services sellable
through the QSP
pla orm
Forma ng and
valida on of data
Quisper
Scien fic
Board
Quisper API
Quisper interface
(info, select, purchase, invoice
data/knowledge rules
and other services)
Partner
query
handling
Partner
App(s)
Client
App(s)
Valida on of
knowledge rules
Diagnos c
services
Recovered data from
EU research projects
Supplier
API
Partner
knowledge
rule
Supplier
database
Supplier
knowledge
rule
Partner
API
Supplier
API
Partner
API
Partner
API
Partner
database
Client
query
handling
Quisper interface – core engine
On-going in/output
activity from
contracted queries
by end-users
(partners or clients) Virtual repository of
data and knowledge rules
from partners and provider
End- user interface (consumer, die cian, GP,…)
Food
composion
End-user query
LifeStyle
Foodrecipes
Food
consumpon
Phenotype
Genotype
Foodpictures
Reference
values
Metabotypes
Quality Label
(Quisper API
Inside)
Data user
Advice
App Design
Advice
Knowledge
rule design/
evalua onQuality Label
(Quisper
approved API)
App
performance
Quisper
database
Addi onal partner
services sellable
through the QSP
pla orm
Forma ng and
valida on of data
Quisper
Scien fic
Board
Quisper API
Quisper interface
(info, select, purchase, invoice
data/knowledge rules
and other services)
Partner
query
handling
Partner
App(s)
Client
App(s)
Valida on of
knowledge rules
Diagnos c
services
Recovered data from
EU research projects
Supplier
API
Partner
knowledge
rule
Supplier
database
Supplier
knowledge
rule
Partner
API
Supplier
API
Partner
API
Partner
API
Partner
database
Client
query
handling
Virtual repository of
data and knowledge rules
from partners and provider
End- user interface (consumer, die cian, GP,…)
Food
composion
End-user query
LifeStyle
Foodrecipes
Food
consumpon
Phenotype
Genotype
Foodpictures
Reference
values
Metabotypes
Quality Label
(Quisper API
Inside)
Data user
Advice
App Design
Advice
Knowledge
rule design/
evalua onQuality Label
(Quisper
approved API)
App
performance
Quisper
database
Addi onal partner
services sellable
through the QSP
pla orm
Forma ng and
valida on of data
Quisper
Scien fic
Board
Quisper API
Quisper interface
(info, select, purchase, invoice
data/knowledge rules
and other services)
Partner
query
handling
Partner
App(s)
Client
App(s)
Valida on of
knowledge rules
Diagnos c
services
Recovered data from
EU research projects
Supplier
API
Partner
knowledge
rule
Supplier
database
Supplier
knowledge
rule
Partner
API
Supplier
API
Partner
API
Partner
API
Partner
database
Client
query
handling
The core program holding all algorithms to operate the gateway between end-user
queries and the virtual data-repository, in line with SAB recommendations.
It controls user interface options and feeds user statistics,
Virtual repository of
data and knowledge rules
from partners and provider
End- user interface (consumer, die cian, GP,…)
Food
composion
End-user query
LifeStyle
Foodrecipes
Food
consumpon
Phenotype
Genotype
Foodpictures
Reference
values
Metabotypes
Quality Label
(Quisper API
Inside)
Data user
Advice
App Design
Advice
Knowledge
rule design/
evalua onQuality Label
(Quisper
approved API)
App
performance
Quisper
database
Addi onal partner
services sellable
through the QSP
pla orm
Forma ng and
valida on of data
Quisper
Scien fic
Board
Quisper API
Quisper interface
(info, select, purchase, invoice
data/knowledge rules
and other services)
Partner
query
handling
Partner
App(s)
Client
App(s)
Valida on of
knowledge rules
Diagnos c
services
Recovered data from
EU research projects
Supplier
API
Partner
knowledge
rule
Supplier
database
Supplier
knowledge
rule
Partner
API
Supplier
API
Partner
API
Partner
API
Partner
database
Client
query
handling
The virtual data repository symbolises all available data,
connections between them and knowledge rules to
interpret them, accessible through the QuaLiFY API.
It exists only virtually as the collection of API algorithms.
Virtual repository of
data and knowledge rules
from partners and provider
End- user interface (consumer, die cian, GP,…)
Food
composion
End-user query
LifeStyle
Foodrecipes
Food
consumpon
Phenotype
Genotype
Foodpictures
Reference
values
Metabotypes
Quality Label
(Quisper API
Inside)
Data user
Advice
App Design
Advice
Knowledge
rule design/
evalua onQuality Label
(Quisper
approved API)
App
performance
Quisper
database
Addi onal partner
services sellable
through the QSP
pla orm
Forma ng and
valida on of data
Quisper
Scien fic
Board
Quisper API
Quisper interface
(info, select, purchase, invoice
data/knowledge rules
and other services)
Partner
query
handling
Partner
App(s)
Client
App(s)
Valida on of
knowledge rules
Diagnos c
services
Recovered data from
EU research projects
Supplier
API
Partner
knowledge
rule
Supplier
database
Supplier
knowledge
rule
Partner
API
Supplier
API
Partner
API
Partner
API
Partner
database
Client
query
handling
Virtual repository of
data and knowledge rules
from partners and provider
End- user interface (consumer, die cian, GP,…)
Food
composion
End-user query
LifeStyle
Foodrecipes
Food
consumpon
Phenotype
Genotype
Foodpictures
Reference
values
Metabotypes
Quality Label
(Quisper API
Inside)
Data user
Advice
App Design
Advice
Knowledge
rule design/
evalua onQuality Label
(Quisper
approved API)
App
performance
Quisper
database
Addi onal partner
services sellable
through the QSP
pla orm
Forma ng and
valida on of data
Quisper
Scien fic
Board
Quisper API
Quisper interface
(info, select, purchase, invoice
data/knowledge rules
and other services)
Partner
query
handling
Partner
App(s)
Client
App(s)
Valida on of
knowledge rules
Diagnos c
services
Recovered data from
EU research projects
Supplier
API
Partner
knowledge
rule
Supplier
database
Supplier
knowledge
rule
Partner
API
Supplier
API
Partner
API
Partner
API
Partner
database
Client
query
handling
Maintain QSP
database with
EU project data
Quisper, Leuven - 8/12/2015Jo Goossens - shiftN 6
8. Quisper basis
• The knowledge and information used in Quisper has been
acquired in the frame of several former EU projects:
– EuroFIR – EUR 12 mio
– NuGO – EUR 17 mio
– EURRECA – EUR 13.2 mio
– EUROGENE – EUR 180k
– Food4Me – EUR 12 mio
– QuaLiFY – EUR 2 mio
Thus amounting to a total EU investment > EUR 56 mio
Quisper, Leuven – 8/12//2015Jo Goossens - shiftN 8
12. Non-profit structure
• Quisper Association or Foundation
• Start planned 1 Jan 2016
• Quisper Quality Label
• Membership contribution:
– Companies EUR 2,500 (SME) – 10,000
• Consultation fee:
– Data: EUR 0.0001/datapoint
» (750 datapoints/typical consultation/person)
– Knowledge rules: different frequencies of use
• daily/weekly: EUR 0.02
• Monthly: EUR 1-10
• yearly/lifetime EUR 10-30
– Other services: app/KR development support (member offerings
through the platform)
Quisper, Leuven - 8/12/2015Jo Goossens - shiftN 12
13. Membership
10/09/14 Buisness & Activity Model Consolidation 13
Type of members
Categories per
type
Foundation/yearly
membership fee
(€)
Fee for using
data/KR Voting rights in GA
Founding members 5,000 / 2,500
up to 200% of
contribution 2
Full members Business 10,000
up to 100% of
contribution 1
Business (SME) 2.500
up to 100% of
contribution 1
Other 2,500
up to 100% of
contribution 1
Ordinary members Business 1.000 no reduction -
Academic/Non-
profit 500 no reduction -
Student 100 no reduction -
Student member
Free trial for 3
months no reduction -
Limit on
volume/frequency?
14. Quisper : a non-profit association
Quisper =
“QUality Information Services for PERsonalised nutrition”
Vision
• Quisper envisages a future where all people are conscious
about what they eat and how they live, and has the
ambition to ensure proper scientific data and knowledge
rules are applied to provide personalized advice.
Quisper, Leuven – 8/12//2015Jo Goossens - shiftN 14
15. Quisper : a non-profit association
Purpose
• The purpose of the Quisper is to enhance public health by
organising, developing and exploiting an independent and
scientifically sound digital information platform as a
supporting tool for creating personalised nutrition and
lifestyle advice services and to support research in the area
of health oriented dietary behaviour change and the role of
personalised nutrition advice.
Strategy
• The strategy is to become the first and remain the preferred
service offering scientifically validated information sources
for personalized nutrition development, either for use by
companies/organisations offering dietary and lifestyle
advice to citizens and/or for research purposes.
Quisper, Leuven – 8/12//2015Jo Goossens - shiftN 15
16. Quisper embraces 6 Activities
10/09/14 Buisness & Activity Model Consolidation 16
Provide and
expand tools &
services to assist
users of the
platform
Promote &
Dessiminate
QuisPer
Develop services
through adding
new data, new
knowledge rules
16
CFE Board Presentation 29.05.15 Kris Ooms &
Kim Becher
Operate, maintain
and develop
the platform
Create and
Manage
QuisPer
Quality label
Create
community
around
PN services
17. Activities (1)
10/09/14 Business Development activities & outcome. Business Plan 17
Ensure users get
easy and fast access
to scientifically
validated data and
knowledge rules
as well as
supporting services
18. Activities (2)
10/09/14 Business Development activities & outcome. Business Plan 18
Promote and disseminate
Quisper to a wide group
of stakeholders, with the
aim to attract more
customers, new suppliers
and additional funding
for further development.
19. Activities (3)
10/09/14 Business Development activities & outcome. Business Plan 19
Activities 1 to 5 will
create a community
of different stakeholders
around personalized
nutrition services,
further boosting the
development of Quisper
and thus contributing
to the envisaged mission
20. QuaLiFY partners in Quisper
• These partners confirmed to become a founding partner
Quisper, Leuven - 8/12/2015Jo Goossens - shiftN 20
21. QuaLiFY partners in Quisper
• These are still expected to join as a full member
Quisper, Leuven - 8/12/2015Jo Goossens - shiftN 21
22. Quisper’s 4 main advantages
• Single unified portal for accessing data and knowledge rules
to interpret personal health/diet/lifestyle information to
generate a personalised nutrition advice
• Neutral validation of the scientific appropriateness of the
data and knowledge rules offered through Quisper
• Harmonisation of the data and knowledge rules originating
form different sources when accessed through Quisper
• A network of stakeholders for learning, collaboration,
development and promotion of the personalised nutrition
concept
Quisper, Leuven - 8/12/2015Jo Goossens - shiftN 22
23. Steps forward
While moving forward we are adjusting to new insights
• Decision on organisational structure
– Collaboration with NOM (North Development Agency) on
the preferable structure
– Advice on statutes (Dutch law)
– Find the right people
– Explore how to establish scientific advisory board
Quisper, Leuven – 8/12//2015Jo Goossens - shiftN 23
24. More info
• www.qualify-fp7.eu
• Hille Meetsma (VitalinQ) - Hille.Meetsma@vitalinq.nl
• Paul Finglas (EuroFIR) – paul.finglas@ifr.ac.uk
• Harry Van Haaften (the Hyve) - harry@thehyve.nl
• Jo Goossens (shiftN) – jg@shiftn.com
Quisper, Leuven - 8/12/2015Jo Goossens - shiftN 24
25. Quisper
10/09/14Buisness & Activity Model Consolidation 2
5
www.quisper.eu
www.qualify-fp7.eu
Twitter LinkedIn
This project has received funding from the European Union’s Seventh
Framework Programme for research, technological development and
demonstration under grant agreement no 613783.
Thank you