THE FUTURE OF FOOD AND NUTRITION IN ELIXIR�Bouwman, J. (Jildau)

WHY A FOOD AND NUTRITION RI?

• Healthy citizens

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• Social science

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• Psychology

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• Food composition

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• Food preparation

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• Effect food on health

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WHAT IS THE F&N COMMUNITY

FOOD AND NUTRITION OVERVIEW

FOOD & HEALTH

KEY F&N COMMUNITY CHALLENGES

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• Measure a health effect 🡪 Define individual health status
• Every individual has different dietary needs 🡪 Develop individual advice (e.g. what advice is needed for an individual at risk for a non-communicable disease)
• Quantify what individuals have eaten (standard is questionnaires but these are very unreliable 🡪 Complex dietary and food intake biomarkers

NUTRITIONAL ISSUES

• Large background on treatment (many measurements needed)

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• Broad effect (many different processes)

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• Seasonal effect (cross-over design essential)

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• Data integration essential

BIOINFORMATICS NEEDS (1)

Standardization/Interoperability

• Terminology: ontology development (not all relevant ontologies for F&N are in place and managed)
• Standardization of questionnaires (Questionnaires are hardly aligned)
• Tools for standardization (Tools for standardization are not always available to F&N scientists)
• Training on FAIR data principles (not all F&N scientists know how they are share FAIR data and where to find help)
• Technical interoperability solutions

Data availability

• Data formatting standards for food and nutrition datasets and their related ‘omics’.
• Connectivity of structured datasets (Diet intake, Health, Food composition, Consumer data, omics)
• Rich meta-data capture (not all datasets have enough meta-data to be reusable)
• Ethical compliance and approval (including consent: Authorization and authentication including permissions registry and confirmation of informed consent and added purpose binding) and/or statements on data anonymization.
• Queries and tools to find datasets

Data reuse

• Complex data integration (including omics and personalization) with specific focus on metabolomics and microbiome
• Hardware for analysis
• Software and pipelines for analysis
• Interaction with consumers (onboarding and transparency)
• Training on data reuse

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BIOINFORMATICS NEEDS (2)

Advocacy and training

• Researchers and governmental organizations publish research documents to spread knowledge but hardly publish data (raw or modified). Convincing arguments and incentives must be created to consider publication of documents of equal importance as publication of data.
• Training/Capacity Building on FAIR data and standards (not all F&N scientists know the FAIR principles and are aware of the standard’s importance to align their data management plans with FAIR principles and where to find support)

Tool and service availability and interoperability

• Make also tools and services available with which data can be analyzed, visualized and manipulated
• Need for alignment of existing and new analysis software with ELIXIR existing ELIXIR efforts (e.g. microbiomics/GALAXY and similar dataflows)
• Public and private repositories must be integrated in such a way that it allows users to easily transfer data into existing tools for their data processing. This would lead to a landscape of repositories and tools where an arbitrary number of systems can be connected or chained to perform data analysis.

Networking actions

• Interaction with consumers (onboarding and transparency) and other stakeholders such as F&N researchers, policy makers, educators, industry, hospital and patients
• Alignment with European Open Science Cloud (EOSC) strategy for sustainable long term data reuse and other initiatives

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ALIGNMENT WITH ELIXIR PLATFORMS

• Data Platform 🡪 DASH-IN: align with ELIXIR resources
• Tools Platform 🡪 tools provided and used by the F&N community will be registered in the bio.tools registry
• Interoperability Platform 🡪 F&N data must be interoperable in order to align with other data sources. Extension of the current metadata standards toward food and consumer science is needed
• Compute Platform 🡪 Computing power necessary for the analyses. The community should have a helpdesk that knows the access points for compute platforms
• Training Platform 🡪 Courses from the F&N community (e.g. NuGO) will be registered in TeSS

ALIGNMENT WITH ELIXIR COMMUNITIES

• The Federated Human Data community for long-term strategies for managing and accessing sensitive human data and connecting consumer and patient data
• The Rare Diseases community for privacy issues on the individual data and describing phenotypes.
• The Marine Metagenomics (Microbiome) community for the solutions in the area of microbiome/metagenome analysis.
• The Biodiversity focus group for the accessibility to taxonomic and molecular data (including other metadata) related to the species described so far (biodiversity catalogues).
• Plant Science community for the link between plant science in general and plants as food compounds.
• The metabolomics community for readouts of intake and health
• The toxicology (not yet an approved community) on describing phenotypes
• The newly developing Microbiome community and the Microbial Biotechnology community for two different microbiome approaches
• The Machine learning focus group for complex data integration (including omics and personalization) with specific focus on metabolomics and microbiome, and software and pipelines for analysis.
• (other Communities are Proteomics, Galaxy, 3D-Bioinformatics and Intrinsically Disordered Proteins)

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CONNECTION WITH ELIXIR

ELIXIR

(FAIR) data

Tools

Interoperability

Training

F&N

Specific application

and translation of needs

• Food databases
• Consumer behaviour tools

F&N data users

Metabolomics

Marine

Tox

IMPLEMENTATION STUDY

This implementation study describes the integration of microbiome, metabolomics and dietary data of nutrition studies, as a first example how the F&N Community can benefit from ELIXIR and vice versa

• WP1 - Collection of relevant datasets & training 🡪 Workshop
• WP2 - Development and implementation of microbiome standards 🡪 Workshop
• WP3 - Development and implementation of metabolomics standards 🡪 Workshop
• WP4 - Integration of study (meta)data, microbiome and metabolome 🡪 Hackathon

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EXPECTED OUTCOMES

• A better interaction between ELIXIR and the F&N Community
• Unify the RICHFIELDS, ENPADASI and FNS-Cloud requirements and ontologies
• Link standards and ontologies with other standardized ones (provided through ELIXIR).
• Standardization in consumer and human nutrition science ( to be able to analyze food behavior)
• Show the modulating effect of food on the human gut microbiome and health

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CONTACT PERSONS AND COUNTRIES INVOLVED