Skip to main content
Vai all'homepage della Commissione europea (si apre in una nuova finestra)
italiano italiano
CORDIS - Risultati della ricerca dell’UE
CORDIS

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

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Outline methodology for research and inventory development of data types (si apre in una nuova finestra)

M6

Report from first Stakeholder Platform meeting (si apre in una nuova finestra)

M12

Project dissemination plan (si apre in una nuova finestra)

M3

Overall Synthesis report (si apre in una nuova finestra)

On a harmonized approach the information of WP5-10 will be synthesised for WP11-13M33

Report on inventory of types of purchase data and data collection (si apre in una nuova finestra)

M12

Report from first Stakeholder workshop (si apre in una nuova finestra)

M14

Paper on quality criteria and overview of criteria applied to available data/methods - WP6 (si apre in una nuova finestra)

M36

Paper on quality criteria and overview of criteria applied to available data/methods - WP7 (si apre in una nuova finestra)

M36

Standardisation requirements for RI Consumer Data Platform (si apre in una nuova finestra)

M30

Report on inventory of types of consumption data and data collection methodologies (si apre in una nuova finestra)

M12

Report on gaps and needs - WP7 (si apre in una nuova finestra)

M18

Project identity (logo, poster, email, Word & PowerPoint templates and website (si apre in una nuova finestra)

(CMS & extranet, content & hosting) M6

List of quality criteria - WP5 (si apre in una nuova finestra)

M10

IPR design (si apre in una nuova finestra)

M34

List of quality criteria - WP6 (si apre in una nuova finestra)

M10

Report on gaps and needs - WP6 (si apre in una nuova finestra)

M34

Report on synthesis of the findings for WP5-7 (si apre in una nuova finestra)

On a harmonized approach the information of WP5-7 will be synthesised M32

Paper on quality criteria and overview of criteria applied to available data/methods - WP5 (si apre in una nuova finestra)

M36

Alternatives of business model concepts for the RI Consumer Data Platform (si apre in una nuova finestra)

M26

Integrated report of WP10 activities for Synthesis Report of Task 4.2 (si apre in una nuova finestra)

M24

Report on the synthesis of the findings for WP8-WP10 (si apre in una nuova finestra)

On a harmonized approach the information of WP8-10 will be synthesised M30

Report from case studies (si apre in una nuova finestra)

M12

Position document ‘Laboratories and research facilities in the field of food and health consumer behaviour and lifestyle’ (M 20) (si apre in una nuova finestra)

M20

Minutes of the Plenary Project Meetings and Project Advisory Board Meetings(M3-M36) (si apre in una nuova finestra)

Actions and decisions of all official RICHFIELDS meeting will be described. M3, 10, 19, 25 & 36

Report from second Stakeholder workshop (si apre in una nuova finestra)

M20

Open Architecture Platform Design – initial concepts (si apre in una nuova finestra)

M22

List of quality criteria - WP7 (si apre in una nuova finestra)

M10

Governance design for RI platform for consumer behaviour and lifestyle (si apre in una nuova finestra)

M34

Report on recommendations on future research and policy (si apre in una nuova finestra)

M34

Roadmap RI Consumer Data Platform (si apre in una nuova finestra)

M35

Report from third Stakeholder workshop (si apre in una nuova finestra)

M34

Final dissemination report (si apre in una nuova finestra)

M36

Report on inventory of types of preparation data and data collection methodologies (si apre in una nuova finestra)

M12

Report from RICHFIELDS FNH-RI final event (si apre in una nuova finestra)

M36

Web-based dissemination (eufic.org, videos, social media and e-newsletter) (si apre in una nuova finestra)

M36

Position and final paper of RICHFIELDS (si apre in una nuova finestra)

M12 & 36

Dissemination materials (a flyer, a leaflet, a press release, a Food Today articles, an infographics and a roll up) (si apre in una nuova finestra)

M36

Ethical design (si apre in una nuova finestra)

M28

Scientific manuscript on overall case study outcomes and future framework (si apre in una nuova finestra)

M34

Report on gaps and needs - WP5 (si apre in una nuova finestra)

M18

Pubblicazioni

Designing a research infrastructure on dietary intake and its determinants (si apre in una nuova finestra)

Autori: M.-J. Bogaardt, A. Geelen, K. Zimmermann, P. Finglas, M. M. Raats, B. E. Mikkelsen, K. J. Poppe, P. van't Veer
Pubblicato in: Nutrition Bulletin, Numero 43/3, 2018, Pagina/e 301-309, ISSN 1467-3010
Editore: John Wiley and Sons
DOI: 10.1111/nbu.12342

StandFood: Standardization of Foods Using a Semi-Automatic System for Classifying and Describing Foods According to FoodEx2 (si apre in una nuova finestra)

Autori: Tome Eftimov, Peter Korošec, Barbara Koroušić Seljak
Pubblicato in: Nutrients, Numero 9/6, 2017, Pagina/e 542, ISSN 2072-6643
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/nu9060542

User-documented food consumption data from publicly available apps: an analysis of opportunities and challenges for nutrition research (si apre in una nuova finestra)

Autori: Marcus Maringer, Pieter van’t Veer, Naomi Klepacz, Muriel C. D. Verain, Anne Normann, Suzanne Ekman, Lada Timotijevic, Monique M. Raats, Anouk Geelen
Pubblicato in: Nutrition Journal, Numero 17/1, 2018, ISSN 1475-2891
Editore: BioMed Central
DOI: 10.1186/s12937-018-0366-6

NutriNet: A Deep Learning Food and Drink Image Recognition System for Dietary Assessment (si apre in una nuova finestra)

Autori: Simon Mezgec, Barbara Koroušić Seljak
Pubblicato in: Nutrients, Numero 9/7, 2017, Pagina/e 657, ISSN 2072-6643
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/nu9070657

Mixed deep learning and natural language processing method for fake-food image recognition and standardization to help automated dietary assessment (si apre in una nuova finestra)

Autori: Simon Mezgec, Tome Eftimov, Tamara Bucher, Barbara Koroušić Seljak
Pubblicato in: Public Health Nutrition, 2018, Pagina/e 1-10, ISSN 1368-9800
Editore: CABI Publishing
DOI: 10.1017/S1368980018000708

A rule-based named-entity recognition method for knowledge extraction of evidence-based dietary recommendations (si apre in una nuova finestra)

Autori: Tome Eftimov, Barbara Koroušić Seljak, Peter Korošec
Pubblicato in: PLOS ONE, Numero 12/6, 2017, Pagina/e e0179488, ISSN 1932-6203
Editore: Public Library of Science
DOI: 10.1371/journal.pone.0179488

IUNS. 21st International Congress of Nutrition. Buenos Aires, Argentina, October 15-20, 2017: Abstracts (si apre in una nuova finestra)

Autori: Mikkelsen, BE
Pubblicato in: Annals of Nutrition and Metabolism, Numero 71/2, 2017, Pagina/e 1-1433, ISSN 0250-6807
Editore: S. Karger AG
DOI: 10.1159/000480486

Mapping Food Composition Data from Various Data Sources to a Domain-Specific Ontology (si apre in una nuova finestra)

Autori: Gordana Ispirova, Tome Eftimov, Barbara Koroušić Seljak, Peter Korošec
Pubblicato in: Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, Numero Volume: 2, KEOD (11/2017), 2017, Pagina/e 203-210, ISBN 978-989-758-272-1
Editore: SCITEPRESS - Science and Technology Publications
DOI: 10.5220/0006504302030210

Small devices for Big data – business driven smart technologies to collect data on consumer

Autori: Haris Hondo, Erik Kaunisto, Kwabena Titi Ofei, Bent Egberg Mikkelsen, Sophie Hieke
Pubblicato in: Proceedings of ICCAS 2017, 2017
Editore: Proceedings of ICCAS 2017

Measuring food choice and consumption behaviour with real, fake or virtual food realities

Autori: Bent Egberg Mikkelsen, T Bucher, S Hieke, MCD Verain, J van der Puttelaar
Pubblicato in: 10th International Conference on Methods and Techniques in Behavioral Research: Proceedings, 2016, 2016, Pagina/e p. 88-95, ISBN 978-1-873769-59-1
Editore: Dublin City University

The potential of Enriching Food Consumption Data by use of Consumer Generated Data: a case from RICHFIELDS

Autori: Jos van den Puttelaar, Muriel Verain, Marleen Onwezen
Pubblicato in: 10th International Conference on Methods and Techniques in Behavioral Research: Proceedings, 2016, 2016, ISBN 978-1-873769-59-1
Editore: Dublin City University

Linked Data Sharing to Foster Consumer Based Science Enabled by Richfields: A Research Infrastructure on Consumer Health and Food

Autori: Karin Zimmermann, Muriel Verain, Marc-Jeroen Bogaardt,Anouk Geelen, Paul Finglas, Pieter van ‘t Veer, Monique Raats, Bent Egberg Mikkelsen, Krijn Poppe
Pubblicato in: 10th International Conference on Methods and Techniques in Behavioral Research: Proceedings, 2016, 2016, ISBN 978-1-873769-59-1
Editore: Dublin City University

The RICHFIELDS Framework for Semantic Interoperability of Food Information Across Heterogenous Information Systems (si apre in una nuova finestra)

Autori: Tome Eftimov, Gordana Ispirova, Peter Korošec, Barbara Koroušić Seljak
Pubblicato in: Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2018, Pagina/e 315-322, ISBN 978-989-758-330-8
Editore: SCITEPRESS - Science and Technology Publications
DOI: 10.5220/0006951703150322

Comparing multi-objective optimization algorithms using an ensemble of quality indicators with deep statistical comparison approach (si apre in una nuova finestra)

Autori: Tome Eftimov, Peter Korosec, Barbara Korousic Seljak
Pubblicato in: 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 2017, Pagina/e 1-8, ISBN 978-1-5386-2726-6
Editore: IEEE
DOI: 10.1109/SSCI.2017.8280910

A semi-automatic system for classifying and describing foods according to foodex2

Autori: Tome Eftimov, Gordana Ispirova, Barbara Koroušić Seljak, Peter Korošec
Pubblicato in: 3rd IMEKOFOODS Conference: Metrology Promoting Harmonization and Standardization in Food and Nutrition, 2017, Pagina/e 13-16, ISBN 978-1510-86249-4
Editore: International Measurement Confederation (IMEKO)

Crowdsourcing of Big Food Data: a case study on supermarket purchase behavior of a four-member Danish household from 2007 until 2015

Autori: Steenvoorden, M; Mikkelsen BE, & Steenbekkers, B
Pubblicato in: Proceedings from 10th International Conference on Culinary Arts and Sciences, July 5-7th 2017 Aalborg University Copenhagen - Exploring Future Foodscapes, 2017, Pagina/e p. 57-, ISBN 978-87-970462-0-3
Editore: Captive Food Studies. AAU, Copenhagen

"Can business generated big food data be used to understand food consumption behaviour and can a research infrastructure be generated around such data?(#110"

Autori: Ofei, KT; Hondo, H; Kaunisto, E & Mikkelsen, BE.
Pubblicato in: Proceedings from 10th International Conference on Culinary Arts and Sciences, July 5-7th 2017 Aalborg University Copenhagen - Exploring Future Foodscapes, 2017, Pagina/e p. 239 -, ISBN 978-87-970462-0-3
Editore: Captive Food Studies, AAU, Copenhagen

"Measuring food behaviour the smart way - case insights from the implementation of Foodscapelab (#114)"

Autori: Mikkelsen, BE & Ofei, KT
Pubblicato in: Proceedings from 10th International Conference on Culinary Arts and Sciences, July 5-7th 2017 Aalborg University Copenhagen - Exploring Future Foodscapes, 2017, Pagina/e p. 268-, ISBN 978-87-970462-0-3
Editore: Captive Food Studies. AAU, Copenhagen

"Your sales receipt an help research (""Din kassebon kan gavne forskning”)"

Autori: Søren Beukel Bach
Pubblicato in: Nordjyske Stiftstidende, 2016
Editore: Nordjyske Medier

È in corso la ricerca di dati su OpenAIRE...

Si è verificato un errore durante la ricerca dei dati su OpenAIRE

Nessun risultato disponibile

Il mio fascicolo 0 0