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

Deliverables

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

Designing a research infrastructure on dietary intake and its determinants

Author(s): M.-J. Bogaardt, A. Geelen, K. Zimmermann, P. Finglas, M. M. Raats, B. E. Mikkelsen, K. J. Poppe, P. van't Veer
Published in: Nutrition Bulletin, Issue 43/3, 2018, Page(s) 301-309, ISSN 1467-3010
Publisher: 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

Author(s): Tome Eftimov, Peter Korošec, Barbara Koroušić Seljak
Published in: Nutrients, Issue 9/6, 2017, Page(s) 542, ISSN 2072-6643
Publisher: 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

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

NutriNet: A Deep Learning Food and Drink Image Recognition System for Dietary Assessment

Author(s): Simon Mezgec, Barbara Koroušić Seljak
Published in: Nutrients, Issue 9/7, 2017, Page(s) 657, ISSN 2072-6643
Publisher: 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

Author(s): Simon Mezgec, Tome Eftimov, Tamara Bucher, Barbara Koroušić Seljak
Published in: Public Health Nutrition, 2018, Page(s) 1-10, ISSN 1368-9800
Publisher: CABI Publishing
DOI: 10.1017/S1368980018000708

A rule-based named-entity recognition method for knowledge extraction of evidence-based dietary recommendations

Author(s): Tome Eftimov, Barbara Koroušić Seljak, Peter Korošec
Published in: PLOS ONE, Issue 12/6, 2017, Page(s) e0179488, ISSN 1932-6203
Publisher: Public Library of Science
DOI: 10.1371/journal.pone.0179488

IUNS. 21st International Congress of Nutrition. Buenos Aires, Argentina, October 15-20, 2017: Abstracts

Author(s): Mikkelsen, BE
Published in: Annals of Nutrition and Metabolism, Issue 71/2, 2017, Page(s) 1-1433, ISSN 0250-6807
Publisher: S. Karger AG
DOI: 10.1159/000480486

Mapping Food Composition Data from Various Data Sources to a Domain-Specific Ontology

Author(s): Gordana Ispirova, Tome Eftimov, Barbara Koroušić Seljak, Peter Korošec
Published in: 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
Publisher: SCITEPRESS - Science and Technology Publications
DOI: 10.5220/0006504302030210

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

Author(s): Haris Hondo, Erik Kaunisto, Kwabena Titi Ofei, Bent Egberg Mikkelsen, Sophie Hieke
Published in: Proceedings of ICCAS 2017, 2017
Publisher: Proceedings of ICCAS 2017

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

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

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

Author(s): Jos van den Puttelaar, Muriel Verain, Marleen Onwezen
Published in: 10th International Conference on Methods and Techniques in Behavioral Research: Proceedings, 2016, 2016, ISBN 978-1-873769-59-1
Publisher: Dublin City University

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

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

The RICHFIELDS Framework for Semantic Interoperability of Food Information Across Heterogenous Information Systems

Author(s): Tome Eftimov, Gordana Ispirova, Peter Korošec, Barbara Koroušić Seljak
Published in: 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
Publisher: 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

Author(s): Tome Eftimov, Peter Korosec, Barbara Korousic Seljak
Published in: 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 2017, Page(s) 1-8, ISBN 978-1-5386-2726-6
Publisher: IEEE
DOI: 10.1109/SSCI.2017.8280910

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

Author(s): Tome Eftimov, Gordana Ispirova, Barbara Koroušić Seljak, Peter Korošec
Published in: 3rd IMEKOFOODS Conference: Metrology Promoting Harmonization and Standardization in Food and Nutrition, 2017, Page(s) 13-16, ISBN 978-1510-86249-4
Publisher: 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

Author(s): Steenvoorden, M; Mikkelsen BE, & Steenbekkers, B
Published in: 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
Publisher: 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"

Author(s): Ofei, KT; Hondo, H; Kaunisto, E & Mikkelsen, BE.
Published in: 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
Publisher: Captive Food Studies, AAU, Copenhagen

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

Author(s): Mikkelsen, BE & Ofei, KT
Published in: 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
Publisher: Captive Food Studies. AAU, Copenhagen

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

Author(s): Søren Beukel Bach
Published in: Nordjyske Stiftstidende, 2016
Publisher: Nordjyske Medier

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