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FAIR chemosensory data: Unlocking AI for flavour, food and health
Valentina Parma
, Joel D. Mainland
, Liang Dar Hwang
, Richard J. Kedziora
, Nicolas Pineau
, Richard C. Gerkin
,
Masha Y. Niv
*
*
Corresponding author for this work
Institute of Biochemistry, Food Science and Nutrition
Research output
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Comment/debate
3
Scopus citations
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Keyphrases
Chemosensory
100%
Findable
100%
Data Sharing
40%
Drug Discovery
20%
Data Organization
20%
Public Health
20%
Protein Structure Prediction
20%
Clinical Diagnostics
20%
Food Consumption
20%
Genome Interpretation
20%
Food Choice
20%
Food Science
20%
Food Safety
20%
Medical Diagnostics
20%
Data Standardization
20%
Confidentiality
20%
Data Infrastructure
20%
Real Consequences
20%
Personalized nutrition
20%
Scientific Breakthrough
20%
Artificial Intelligence Algorithm
20%
Federated Learning
20%
Collaboration with Industry
20%
Consumer Science
20%
Learning Scenarios
20%
Predictive Model
20%
Zenodo
20%
Transformative Potential
20%
Cross-organizational
20%
Safety Health
20%
Food Science
Nutrition
100%
Food Choice
100%
Food Safety
100%
Food Flavor
100%
Protein Structure Prediction
100%
Public Health
100%
Clinical Nutrition
100%