Dataset Information

Compilation of data on model cheeses composition, rheological and sensory properties, from six research projects exported from the BaGaTel database.

ABSTRACT: This paper presents data on model cheeses extracted from the BaGaTel database. The data are issued from 6 different research projects in which data on composition, rheological and sensory properties were collected. The manufacturing of the 68 different samples is described. For each model cheese, data are available on final composition (lipid, protein, water, sodium), rheological properties (uniaxial compression), sensory profile analysis (texture, taste, aroma) and for some cheeses chewing activity and in vivo sodium release were also measured. The material and methods used are detailed. Scatter plots of representation of the values for each variable and each project are plotted. Pearson correlations between variables are given for specific subsets of data. The dataset is hosted in an open access data repository. This dataset will allow a comparison of sensory properties of cheeses varying in lipid, protein water and salt content and can be used for the reformulation of cheeses made with a low salt and fat content to follow food-related health recommendations, whilst fulfilling good sensory qualities.

SUBMITTER: Guichard E

PROVIDER: S-EPMC8076716 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature

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Compilation of data on model cheeses composition, rheological and sensory properties, from six research projects exported from the BaGaTel database.

Guichard Elisabeth E Thomas-Danguin Thierry T Buchin Solange S Perret Bruno B Guillemin Hervé H Pénicaud Caroline C Salles Christian C

Data in brief 20210331

This paper presents data on model cheeses extracted from the BaGaTel database. The data are issued from 6 different research projects in which data on composition, rheological and sensory properties were collected. The manufacturing of the 68 different samples is described. For each model cheese, data are available on final composition (lipid, protein, water, sodium), rheological properties (uniaxial compression), sensory profile analysis (texture, taste, aroma) and for some cheeses chewing acti ...[more]

PMID: 33937447

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Project description:ObjectivesHealthcare budgets are limited, and therefore, research funds should be wisely allocated to ensure high-quality, useful and cost-effective research. We aimed to critically review the criteria considered by major Australian organisations in prioritising and selecting health research projects for funding.MethodsWe reviewed all grant schemes listed on the Australian Competitive Grants Register that were health-related, active in 2017 and with publicly available selection criteria on the funders' websites. Data extracted included scheme name, funding organisation, selection criteria and the relative weight assigned to each criterion. Selection criteria were grouped into five representative domains: relevance, appropriateness, significance, feasibility (including team quality) and cost-effectiveness (ie, value for money).ResultsThirty-six schemes were included from 158 identified. One-half of the schemes were under the National Health and Medical Research Council. The most commonly used criteria were research team quality and capability (94%), research plan clarity (94%), scientific quality (92%) and research impact (92%). Criteria considered less commonly were existing knowledge (22%), fostering collaboration (22%), research environment (19%), value for money (14%), disease burden (8%) and ethical/moral considerations (3%). In terms of representative domains, relevance was considered in 72% of the schemes, appropriateness in 92%, significance in 94%, feasibility in 100% and cost-effectiveness in 17%. The relative weights for the selection criteria varied across schemes with 5%-30% for relevance, 20%-60% for each appropriateness and significance, 20%-75% for feasibility and 15%-33% for cost-effectiveness.ConclusionsIn selecting research projects for funding, Australian research organisations focus largely on research appropriateness, significance and feasibility; however, value for money is most often overlooked. Research funding decisions should include an assessment of value for money in order to maximise return on research investment.

Dataset Information

Compilation of data on model cheeses composition, rheological and sensory properties, from six research projects exported from the BaGaTel database.

Publications

Compilation of data on model cheeses composition, rheological and sensory properties, from six research projects exported from the BaGaTel database.

Similar Datasets

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