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Overview
Data interoperability in the agrifood sector hinders innovation and development due to the need for many custom solutions to share data. This service helps agricultural organisations improve how they handle and share data across the entire food value chain. By implementing standardised reference data models like rmAgro (https://rmagro.org), we help to optimise your data flows and make your information systems work better together. Our team at Wageningen Research provides expert guidance in data modelling and implements reference models that align with industry standards and tests the reference models against various use cases. This promotes more efficient data sharing between different systems and organisations, reducing data integration challenges and improving operational efficiency. The service is particularly valuable for organisations looking to modernise their data infrastructure or needing to share data more effectively with partners in the agri-food sector. This service provides an assessment of interoperability for AI-driven solutions within the agri-food sector. The service facilitates conformance testing and verification of whether the related IT systems comply with relevant standards, guidelines, data space regulations, and other interoperability requirements. By evaluating the IT systems against established reference data models and frameworks like rmAgro (https://rmagro.org), the service ensures that it meets the necessary criteria for effective data sharing and integration. Wageningen Research leverages its expertise to evaluate the overall AI solution on its quality, performance, and how well it aligns with industry standards, offering insights and recommendations for improvement. This service supports organisations in ensuring their solutions are interoperable, compliant, and ready for seamless integration within the agri-food value chain.
More about the service
Discover more about our service, including how it can benefit you, the delivery process, and the options for customisation tailored to your specific needs!
Before using this service, organisations often struggle with incompatible data formats, difficult data exchanges between systems, and inefficient data flows. After implementing our reference architecture and data modelling solutions, you will have:
- Standardised data structures that make sharing information more meaningful
- Interoperable information systems
- More efficient data flows across your organisation and with value chain partners
- Reduced costs, time, and effort spent on data integration
- Improved capability to participate in data-sharing initiatives
- Standardised data structures that make sharing information more meaningful
- Interoperable information systems
- More efficient data flows across your organisation and with value chain partners
- Reduced costs, time, and effort spent on data integration
- Improved capability to participate in data-sharing initiatives
The service is delivered through a structured process that includes:
• Intake conversation to define user requirements
• Initial assessment of your current data infrastructure, relevant standards, and user needs
• Customised offer for service implementation, such as:
• A planning workshop with your technical team (typically 2-3 sessions);
• Maturity assessment of the interoperability performance
• Improvement opportunities and hotspots
• Documentation and knowledge transfer sessions (typically 3-5 sessions)
• Optional: Provision of a base framework with design patterns;
• Optional: Design sessions to model semantics
• Duration: The complete service typically takes 3-12 months depending on the scope and complexity.
Location: Service can be delivered in the Netherlands or on-site visits in combination with remote online sessions.
Required from customer:
- Access to current documentation and plans on information management, data architecture, data governance, etc. - Participation of key technical stakeholders, such as IT managers, business analysts, data architects, data engineers, etc.
- Sample datasets
Deliverables, a.o.:
- Standardised semantic models
- Detailed documentation of implemented semantic models
- Reference architecture implementation guide
- Training materials for maintaining the new data structures
- Final report with recommendations for future optimisation
• Intake conversation to define user requirements
• Initial assessment of your current data infrastructure, relevant standards, and user needs
• Customised offer for service implementation, such as:
• A planning workshop with your technical team (typically 2-3 sessions);
• Maturity assessment of the interoperability performance
• Improvement opportunities and hotspots
• Documentation and knowledge transfer sessions (typically 3-5 sessions)
• Optional: Provision of a base framework with design patterns;
• Optional: Design sessions to model semantics
• Duration: The complete service typically takes 3-12 months depending on the scope and complexity.
Location: Service can be delivered in the Netherlands or on-site visits in combination with remote online sessions.
Required from customer:
- Access to current documentation and plans on information management, data architecture, data governance, etc. - Participation of key technical stakeholders, such as IT managers, business analysts, data architects, data engineers, etc.
- Sample datasets
Deliverables, a.o.:
- Standardised semantic models
- Detailed documentation of implemented semantic models
- Reference architecture implementation guide
- Training materials for maintaining the new data structures
- Final report with recommendations for future optimisation
The service can be customised based on:
- Scale of your organisation
- Scope and complexity of your data flows
- Uniqueness of the agricultural subsector (crops, livestock, fruit, etc.)
- Goals, ambitions, and data maturity of your organisation
Limitations:
- Service focuses on semantic modelling and data sharing; it does not include actual software development.
- Requires basic technical understanding and documentation of existing systems
- Scale of your organisation
- Scope and complexity of your data flows
- Uniqueness of the agricultural subsector (crops, livestock, fruit, etc.)
- Goals, ambitions, and data maturity of your organisation
Limitations:
- Service focuses on semantic modelling and data sharing; it does not include actual software development.
- Requires basic technical understanding and documentation of existing systems
Location
At user's premises
Netherlands
Remote
Type of Sector
Arable farming
Greenhouse
Horticulture
Livestock farming
Tree Crops
Viticulture
Type of service
Conformity assessment
Data augmentation
Test design
Test execution
Test setup
Accepted type of products
Data
Design / Documentation
