Livrables Documents, reports (40) Outline methodology for research and inventory development of data types M6 Report from first Stakeholder Platform meeting M12 Project dissemination plan M3 Overall Synthesis report 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 M12 Report from first Stakeholder workshop M14 Paper on quality criteria and overview of criteria applied to available data/methods - WP6 M36 Paper on quality criteria and overview of criteria applied to available data/methods - WP7 M36 Standardisation requirements for RI Consumer Data Platform M30 Report on inventory of types of consumption data and data collection methodologies M12 Report on gaps and needs - WP7 M18 Project identity (logo, poster, email, Word & PowerPoint templates and website (CMS & extranet, content & hosting) M6 List of quality criteria - WP5 M10 IPR design M34 List of quality criteria - WP6 M10 Report on gaps and needs - WP6 M34 Report on synthesis of the findings for WP5-7 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 M36 Alternatives of business model concepts for the RI Consumer Data Platform M26 Integrated report of WP10 activities for Synthesis Report of Task 4.2 M24 Report on the synthesis of the findings for WP8-WP10 On a harmonized approach the information of WP8-10 will be synthesised M30 Report from case studies M12 Position document ‘Laboratories and research facilities in the field of food and health consumer behaviour and lifestyle’ (M 20) M20 Minutes of the Plenary Project Meetings and Project Advisory Board Meetings(M3-M36) Actions and decisions of all official RICHFIELDS meeting will be described. M3, 10, 19, 25 & 36 Report from second Stakeholder workshop M20 Open Architecture Platform Design – initial concepts M22 List of quality criteria - WP7 M10 Governance design for RI platform for consumer behaviour and lifestyle M34 Report on recommendations on future research and policy M34 Roadmap RI Consumer Data Platform M35 Report from third Stakeholder workshop M34 Final dissemination report M36 Report on inventory of types of preparation data and data collection methodologies M12 Report from RICHFIELDS FNH-RI final event M36 Web-based dissemination (eufic.org, videos, social media and e-newsletter) M36 Position and final paper of RICHFIELDS M12 & 36 Dissemination materials (a flyer, a leaflet, a press release, a Food Today articles, an infographics and a roll up) M36 Ethical design M28 Scientific manuscript on overall case study outcomes and future framework M34 Report on gaps and needs - WP5 M18 Publications Peer reviewed articles (7) Designing a research infrastructure on dietary intake and its determinants Auteurs: M.-J. Bogaardt, A. Geelen, K. Zimmermann, P. Finglas, M. M. Raats, B. E. Mikkelsen, K. J. Poppe, P. van't Veer Publié dans: Nutrition Bulletin, Issue 43/3, 2018, Page(s) 301-309, ISSN 1467-3010 Éditeur: 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 Auteurs: Tome Eftimov, Peter Korošec, Barbara Koroušić Seljak Publié dans: Nutrients, Issue 9/6, 2017, Page(s) 542, ISSN 2072-6643 Éditeur: 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 Auteurs: Marcus Maringer, Pieter van’t Veer, Naomi Klepacz, Muriel C. D. Verain, Anne Normann, Suzanne Ekman, Lada Timotijevic, Monique M. Raats, Anouk Geelen Publié dans: Nutrition Journal, Issue 17/1, 2018, ISSN 1475-2891 Éditeur: BioMed Central DOI: 10.1186/s12937-018-0366-6 NutriNet: A Deep Learning Food and Drink Image Recognition System for Dietary Assessment Auteurs: Simon Mezgec, Barbara Koroušić Seljak Publié dans: Nutrients, Issue 9/7, 2017, Page(s) 657, ISSN 2072-6643 Éditeur: 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 Auteurs: Simon Mezgec, Tome Eftimov, Tamara Bucher, Barbara Koroušić Seljak Publié dans: Public Health Nutrition, 2018, Page(s) 1-10, ISSN 1368-9800 Éditeur: CABI Publishing DOI: 10.1017/S1368980018000708 A rule-based named-entity recognition method for knowledge extraction of evidence-based dietary recommendations Auteurs: Tome Eftimov, Barbara Koroušić Seljak, Peter Korošec Publié dans: PLOS ONE, Issue 12/6, 2017, Page(s) e0179488, ISSN 1932-6203 Éditeur: Public Library of Science DOI: 10.1371/journal.pone.0179488 IUNS. 21st International Congress of Nutrition. Buenos Aires, Argentina, October 15-20, 2017: Abstracts Auteurs: Mikkelsen, BE Publié dans: Annals of Nutrition and Metabolism, Issue 71/2, 2017, Page(s) 1-1433, ISSN 0250-6807 Éditeur: S. Karger AG DOI: 10.1159/000480486 Conference proceedings (11) Mapping Food Composition Data from Various Data Sources to a Domain-Specific Ontology Auteurs: Gordana Ispirova, Tome Eftimov, Barbara Koroušić Seljak, Peter Korošec Publié dans: Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, Issue Volume: 2, KEOD (11/2017), 2017, Page(s) 203-210, ISBN 978-989-758-272-1 Éditeur: SCITEPRESS - Science and Technology Publications DOI: 10.5220/0006504302030210 Small devices for Big data – business driven smart technologies to collect data on consumer Auteurs: Haris Hondo, Erik Kaunisto, Kwabena Titi Ofei, Bent Egberg Mikkelsen, Sophie Hieke Publié dans: Proceedings of ICCAS 2017, 2017 Éditeur: Proceedings of ICCAS 2017 Measuring food choice and consumption behaviour with real, fake or virtual food realities Auteurs: Bent Egberg Mikkelsen, T Bucher, S Hieke, MCD Verain, J van der Puttelaar Publié dans: 10th International Conference on Methods and Techniques in Behavioral Research: Proceedings, 2016, 2016, Page(s) p. 88-95, ISBN 978-1-873769-59-1 Éditeur: Dublin City University The potential of Enriching Food Consumption Data by use of Consumer Generated Data: a case from RICHFIELDS Auteurs: Jos van den Puttelaar, Muriel Verain, Marleen Onwezen Publié dans: 10th International Conference on Methods and Techniques in Behavioral Research: Proceedings, 2016, 2016, ISBN 978-1-873769-59-1 Éditeur: Dublin City University Linked Data Sharing to Foster Consumer Based Science Enabled by Richfields: A Research Infrastructure on Consumer Health and Food Auteurs: Karin Zimmermann, Muriel Verain, Marc-Jeroen Bogaardt,Anouk Geelen, Paul Finglas, Pieter van ‘t Veer, Monique Raats, Bent Egberg Mikkelsen, Krijn Poppe Publié dans: 10th International Conference on Methods and Techniques in Behavioral Research: Proceedings, 2016, 2016, ISBN 978-1-873769-59-1 Éditeur: Dublin City University The RICHFIELDS Framework for Semantic Interoperability of Food Information Across Heterogenous Information Systems Auteurs: Tome Eftimov, Gordana Ispirova, Peter Korošec, Barbara Koroušić Seljak Publié dans: Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2018, Page(s) 315-322, ISBN 978-989-758-330-8 Éditeur: 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 Auteurs: Tome Eftimov, Peter Korosec, Barbara Korousic Seljak Publié dans: 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 2017, Page(s) 1-8, ISBN 978-1-5386-2726-6 Éditeur: IEEE DOI: 10.1109/SSCI.2017.8280910 A semi-automatic system for classifying and describing foods according to foodex2 Auteurs: Tome Eftimov, Gordana Ispirova, Barbara Koroušić Seljak, Peter Korošec Publié dans: 3rd IMEKOFOODS Conference: Metrology Promoting Harmonization and Standardization in Food and Nutrition, 2017, Page(s) 13-16, ISBN 978-1510-86249-4 Éditeur: 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 Auteurs: Steenvoorden, M; Mikkelsen BE, & Steenbekkers, B Publié dans: Proceedings from 10th International Conference on Culinary Arts and Sciences, July 5-7th 2017 Aalborg University Copenhagen - Exploring Future Foodscapes, 2017, Page(s) p. 57-, ISBN 978-87-970462-0-3 Éditeur: 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" Auteurs: Ofei, KT; Hondo, H; Kaunisto, E & Mikkelsen, BE. Publié dans: Proceedings from 10th International Conference on Culinary Arts and Sciences, July 5-7th 2017 Aalborg University Copenhagen - Exploring Future Foodscapes, 2017, Page(s) p. 239 -, ISBN 978-87-970462-0-3 Éditeur: Captive Food Studies, AAU, Copenhagen "Measuring food behaviour the smart way - case insights from the implementation of Foodscapelab (#114)" Auteurs: Mikkelsen, BE & Ofei, KT Publié dans: Proceedings from 10th International Conference on Culinary Arts and Sciences, July 5-7th 2017 Aalborg University Copenhagen - Exploring Future Foodscapes, 2017, Page(s) p. 268-, ISBN 978-87-970462-0-3 Éditeur: Captive Food Studies. AAU, Copenhagen Other (1) "Your sales receipt an help research (""Din kassebon kan gavne forskning”)" Auteurs: Søren Beukel Bach Publié dans: Nordjyske Stiftstidende, 2016 Éditeur: Nordjyske Medier Recherche de données OpenAIRE... Une erreur s’est produite lors de la recherche de données OpenAIRE Aucun résultat disponible