First steps towards FAIRization of product-focused sensory data. (March 2023)

• Record Type: Journal Article
• Authors: Visalli, Michel; Schlich, Pascal; Mahieu, Benjamin; Thomas, Arnaud; Weber, Magalie; Guichard, Elisabeth
• Is Part Of: Food quality and preference. Volume 104(2023)
• Publication Date: 2023-03
• Subjects: Ontology -- Data-driven research -- Meta-analyses -- Databases -- Typology -- Minimum information standards; 2afc 2-Alternative Forced-Choice -- 2afc-double Double 2-Alternative Forced Choice -- 2afc-pa Panelist-Articulated-2-AFC -- 2i2afc 2-Interval 2-Alternative Forced-Choice (paired A-Not A) -- 3afc 3-Alternative Forced-Choice -- 3afc-double Double 3-Alternative Forced Choice -- 4afc 4-Alternative Forced-Choice -- 4i2afc 4-Interval 2-Alternative Forced-Choice -- abx ABX Test -- aef-d Attack Evolution Finish -- a-not-a, A-Not A -- a-not-a-paired Paired A-Not A with AB and BA pairs -- a-not-a-r A-Not A with Reminder -- cata Check-All-That-Apply -- cata-cd CD-CATA -- cata-r Check-All-That-Apply (with rating) -- ces Consumption Emotion Descriptors -- da Generic Descriptive Analysis -- dati Dual-Attribute Time-Intensity -- dfpm Dynamic Flavor Profile Method -- dl Dynamic Liking -- dod Degree of Difference -- dosd Degree of Satisfaction-Difference -- drdt Dual Reference Duo-Trio -- d-tcata Discrete TCATA -- d-ti Discontinuous Time-Intensity -- dual-standard Dual Standard Test -- duo-trio Duo-Trio Test -- duo-trio-double Double Duo-Trio -- duo-trio-paired Paired duo-trio with AB and BA pairs -- emo-semio EmoSemio -- emosensory-wheel EmoSensory Wheel -- essense EsSense Profile -- essense25 Modified EsSense Profile -- fc Free-Comment / Open ended question -- fc-aef-a Free-Comment Attack Evolution Finish -- fc-jar Free JAR profiling -- fcp Free-Choice Profiling -- fp Flash Profiling -- fpa Flavor Profile Method -- geos Geneva Emotion and Odour Scale -- hedonic Hedonic Test -- ipm Ideale Profile Method -- ivdm Intensity Variation Descriptive Method -- jar Just-About-Right -- lams Labeled Affective Magnitude Scale for food liking/disliking -- mati Multi-attribute Time-Intensity -- memvoc MemVOC -- mn M+N test with larger M and N -- napping Napping -- pae Preferred Attribute Elicitation -- paired Paired Comparison -- pc Projective Categorization -- pick-K Pick K over N -- pivot Pivot Profile -- pm Projective mapping -- p-napping Partial Napping -- pp Progressive Profile -- ppm Polarized projective mapping -- pref-test-diff Difference-Preference test -- pref-test-no-pref Preference Test with a "no preference" option -- pref-test-r Reminder-Preference Test -- pr-emo PrEmo -- psp Polarized Sensory Positionning -- qda Quantitative Descriptive Analysis -- qfp Quantitative Flavor Profiling -- ranking Ranking -- rata Rate-All-That-Apply -- r-cata Retrospective CATA -- rda Ranking Descriptive Analysis -- rg Repertory Grid -- scentmove ScentMove -- sm Spectrum Method -- s-napping Sorted Napping -- sorting Free Sorting -- sorting-d Directed Sorting -- sorting-h Hierarchical Sorting -- sorting-m Modified Sorting -- sorting-t Taxonomic Sorting -- sp Sequential Profile -- ta Temporal Acceptance -- tcata Temporal Check-All-That-Apply -- tde Temporal Dominance of Emotions -- tds Temporal Dominance of Sensations -- tds/e-hd Hold-down Temporal Dominance of Sensations and Emotions -- tds-i Temporal Dominance of Sensations (with intensity) -- tetrad Tetrad Test -- tetrad-unspecified Paired unspecified tetrad with AB and BA pairs (Bi & Kuesten, 2020b) -- ti Time-Intensity -- tl Temporal Liking -- tpm Texture Profile Method -- triad-pref Triadic Preference Test -- triangle Triangle Test -- triangle-2s Two-stage Triangle Test -- triangle-double Double triangle test -- triangle-m Modified Triangle Test -- triangle-paired Paired triangle with AB and BA pairs -- tsda Time-Scanning Descriptive Analysis -- ufp Ultra-Flash Profiling -- ufpi Ultra-Flash Profiling with intensity rating -- uni-geos Universal Geneva Emotion and Odour Scale; Food preferences -- Periodicals; Food -- Quality -- Periodicals; Food industry and trade -- Quality control -- Periodicals; Préférences alimentaires -- Périodiques; Aliments -- Qualité -- Périodiques; Aliments -- Industrie et commerce -- Qualité -- Contrôle -- Périodiques; Food industry and trade -- Quality control; Food preferences; Food -- Quality; Periodicals; 664
• DOI: 10.1016/j.foodqual.2022.104765
• Languages: English
• ISSNs: 0950-3293

Abstract

Highlights: A data-centric typology of sensory evaluation measures was proposed. Sensory evaluation methods were classified using the typology. Minimum information standards were proposed for reporting sensory measures. Interests and limits of sensory data aggregation were discussed. Foundations for the FAIRization of product-focused sensory data were laid. Abstract: The emergence of open science makes it necessary to formalize data and knowledge in a way that adheres to the FAIR (Findable, Accessible, Interoperable, Reusable) principles. The objective of this work was to lay the foundations for such a FAIRization of sensory data. After an explanation of the rationale, the main characteristics of sensory evaluation methods were identified, and a data-centric typology of the different types of measures was proposed. This typology enabled us to classify the sensory evaluation methods regardless of whether they were used in "sensory only" or "consumer-centric product-focused" research. To complete this conceptual typology, minimal information standards have been defined to help in the reporting and interpreting of sensory evaluation data. These standards include a data format and metadata related to sensory evaluation measures. Based on the typology and metadata, several aspects related to sensory data aggregation were discussed, and examples were presented to demonstrate the interest of such a grouping of datasets. The outputs of this work were intended to be implemented in the "sensory evaluation measures" branch of TransformON, a food ontology. Thus, this work opens up new perspectives related to the use of ontologies for data-driven research related to food sustainability. Moreover, it invites the sensory science community to adopt a broader perspective regarding sensory measures.