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CORDIS - Resultados de investigaciones de la UE
CORDIS

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

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

Outline methodology for research and inventory development of data types (se abrirá en una nueva ventana)

M6

Report from first Stakeholder Platform meeting (se abrirá en una nueva ventana)

M12

Project dissemination plan (se abrirá en una nueva ventana)

M3

Overall Synthesis report (se abrirá en una nueva ventana)

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 (se abrirá en una nueva ventana)

M12

Report from first Stakeholder workshop (se abrirá en una nueva ventana)

M14

Paper on quality criteria and overview of criteria applied to available data/methods - WP6 (se abrirá en una nueva ventana)

M36

Paper on quality criteria and overview of criteria applied to available data/methods - WP7 (se abrirá en una nueva ventana)

M36

Standardisation requirements for RI Consumer Data Platform (se abrirá en una nueva ventana)

M30

Report on inventory of types of consumption data and data collection methodologies (se abrirá en una nueva ventana)

M12

Report on gaps and needs - WP7 (se abrirá en una nueva ventana)

M18

Project identity (logo, poster, email, Word & PowerPoint templates and website (se abrirá en una nueva ventana)

(CMS & extranet, content & hosting) M6

List of quality criteria - WP5 (se abrirá en una nueva ventana)

M10

IPR design (se abrirá en una nueva ventana)

M34

List of quality criteria - WP6 (se abrirá en una nueva ventana)

M10

Report on gaps and needs - WP6 (se abrirá en una nueva ventana)

M34

Report on synthesis of the findings for WP5-7 (se abrirá en una nueva ventana)

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 (se abrirá en una nueva ventana)

M36

Alternatives of business model concepts for the RI Consumer Data Platform (se abrirá en una nueva ventana)

M26

Integrated report of WP10 activities for Synthesis Report of Task 4.2 (se abrirá en una nueva ventana)

M24

Report on the synthesis of the findings for WP8-WP10 (se abrirá en una nueva ventana)

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

Report from case studies (se abrirá en una nueva ventana)

M12

Position document ‘Laboratories and research facilities in the field of food and health consumer behaviour and lifestyle’ (M 20) (se abrirá en una nueva ventana)

M20

Minutes of the Plenary Project Meetings and Project Advisory Board Meetings(M3-M36) (se abrirá en una nueva ventana)

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

Report from second Stakeholder workshop (se abrirá en una nueva ventana)

M20

Open Architecture Platform Design – initial concepts (se abrirá en una nueva ventana)

M22

List of quality criteria - WP7 (se abrirá en una nueva ventana)

M10

Governance design for RI platform for consumer behaviour and lifestyle (se abrirá en una nueva ventana)

M34

Report on recommendations on future research and policy (se abrirá en una nueva ventana)

M34

Roadmap RI Consumer Data Platform (se abrirá en una nueva ventana)

M35

Report from third Stakeholder workshop (se abrirá en una nueva ventana)

M34

Final dissemination report (se abrirá en una nueva ventana)

M36

Report on inventory of types of preparation data and data collection methodologies (se abrirá en una nueva ventana)

M12

Report from RICHFIELDS FNH-RI final event (se abrirá en una nueva ventana)

M36

Web-based dissemination (eufic.org, videos, social media and e-newsletter) (se abrirá en una nueva ventana)

M36

Position and final paper of RICHFIELDS (se abrirá en una nueva ventana)

M12 & 36

Dissemination materials (a flyer, a leaflet, a press release, a Food Today articles, an infographics and a roll up) (se abrirá en una nueva ventana)

M36

Ethical design (se abrirá en una nueva ventana)

M28

Scientific manuscript on overall case study outcomes and future framework (se abrirá en una nueva ventana)

M34

Report on gaps and needs - WP5 (se abrirá en una nueva ventana)

M18

Publicaciones

Designing a research infrastructure on dietary intake and its determinants (se abrirá en una nueva ventana)

Autores: M.-J. Bogaardt, A. Geelen, K. Zimmermann, P. Finglas, M. M. Raats, B. E. Mikkelsen, K. J. Poppe, P. van't Veer
Publicado en: Nutrition Bulletin, Edición 43/3, 2018, Página(s) 301-309, ISSN 1467-3010
Editor: 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 (se abrirá en una nueva ventana)

Autores: Tome Eftimov, Peter Korošec, Barbara Koroušić Seljak
Publicado en: Nutrients, Edición 9/6, 2017, Página(s) 542, ISSN 2072-6643
Editor: 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 (se abrirá en una nueva ventana)

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

NutriNet: A Deep Learning Food and Drink Image Recognition System for Dietary Assessment (se abrirá en una nueva ventana)

Autores: Simon Mezgec, Barbara Koroušić Seljak
Publicado en: Nutrients, Edición 9/7, 2017, Página(s) 657, ISSN 2072-6643
Editor: 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 (se abrirá en una nueva ventana)

Autores: Simon Mezgec, Tome Eftimov, Tamara Bucher, Barbara Koroušić Seljak
Publicado en: Public Health Nutrition, 2018, Página(s) 1-10, ISSN 1368-9800
Editor: CABI Publishing
DOI: 10.1017/S1368980018000708

A rule-based named-entity recognition method for knowledge extraction of evidence-based dietary recommendations (se abrirá en una nueva ventana)

Autores: Tome Eftimov, Barbara Koroušić Seljak, Peter Korošec
Publicado en: PLOS ONE, Edición 12/6, 2017, Página(s) e0179488, ISSN 1932-6203
Editor: Public Library of Science
DOI: 10.1371/journal.pone.0179488

IUNS. 21st International Congress of Nutrition. Buenos Aires, Argentina, October 15-20, 2017: Abstracts (se abrirá en una nueva ventana)

Autores: Mikkelsen, BE
Publicado en: Annals of Nutrition and Metabolism, Edición 71/2, 2017, Página(s) 1-1433, ISSN 0250-6807
Editor: S. Karger AG
DOI: 10.1159/000480486

Mapping Food Composition Data from Various Data Sources to a Domain-Specific Ontology (se abrirá en una nueva ventana)

Autores: Gordana Ispirova, Tome Eftimov, Barbara Koroušić Seljak, Peter Korošec
Publicado en: Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, Edición Volume: 2, KEOD (11/2017), 2017, Página(s) 203-210, ISBN 978-989-758-272-1
Editor: SCITEPRESS - Science and Technology Publications
DOI: 10.5220/0006504302030210

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

Autores: Haris Hondo, Erik Kaunisto, Kwabena Titi Ofei, Bent Egberg Mikkelsen, Sophie Hieke
Publicado en: Proceedings of ICCAS 2017, 2017
Editor: Proceedings of ICCAS 2017

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

Autores: Bent Egberg Mikkelsen, T Bucher, S Hieke, MCD Verain, J van der Puttelaar
Publicado en: 10th International Conference on Methods and Techniques in Behavioral Research: Proceedings, 2016, 2016, Página(s) p. 88-95, ISBN 978-1-873769-59-1
Editor: Dublin City University

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

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

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

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

The RICHFIELDS Framework for Semantic Interoperability of Food Information Across Heterogenous Information Systems (se abrirá en una nueva ventana)

Autores: Tome Eftimov, Gordana Ispirova, Peter Korošec, Barbara Koroušić Seljak
Publicado en: Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2018, Página(s) 315-322, ISBN 978-989-758-330-8
Editor: 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 (se abrirá en una nueva ventana)

Autores: Tome Eftimov, Peter Korosec, Barbara Korousic Seljak
Publicado en: 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 2017, Página(s) 1-8, ISBN 978-1-5386-2726-6
Editor: IEEE
DOI: 10.1109/SSCI.2017.8280910

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

Autores: Tome Eftimov, Gordana Ispirova, Barbara Koroušić Seljak, Peter Korošec
Publicado en: 3rd IMEKOFOODS Conference: Metrology Promoting Harmonization and Standardization in Food and Nutrition, 2017, Página(s) 13-16, ISBN 978-1510-86249-4
Editor: 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

Autores: Steenvoorden, M; Mikkelsen BE, & Steenbekkers, B
Publicado en: Proceedings from 10th International Conference on Culinary Arts and Sciences, July 5-7th 2017 Aalborg University Copenhagen - Exploring Future Foodscapes, 2017, Página(s) p. 57-, ISBN 978-87-970462-0-3
Editor: 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"

Autores: Ofei, KT; Hondo, H; Kaunisto, E & Mikkelsen, BE.
Publicado en: Proceedings from 10th International Conference on Culinary Arts and Sciences, July 5-7th 2017 Aalborg University Copenhagen - Exploring Future Foodscapes, 2017, Página(s) p. 239 -, ISBN 978-87-970462-0-3
Editor: Captive Food Studies, AAU, Copenhagen

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

Autores: Mikkelsen, BE & Ofei, KT
Publicado en: Proceedings from 10th International Conference on Culinary Arts and Sciences, July 5-7th 2017 Aalborg University Copenhagen - Exploring Future Foodscapes, 2017, Página(s) p. 268-, ISBN 978-87-970462-0-3
Editor: Captive Food Studies. AAU, Copenhagen

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

Autores: Søren Beukel Bach
Publicado en: Nordjyske Stiftstidende, 2016
Editor: Nordjyske Medier

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