GreenGrocer WP2

Exploiting the Data

Better institutionalisation of food footprint information systems.

Objectives

This WP aims to address SO3 and SO6. We do this by better institutionalisation of food footprint information systems, achieved by (i) gathering and assessing the technological readiness, FAIRness and compliance to Product Environmental Footprint standards of key food-impact linked (LCA, footprint and other) datasets; (ii) developing recommendations for (and implemented selected) improvements via data-provider engagement; and (iii) increasing dissemination and uptake of knowledge via accessible AI technologies.

SO-3 Perform foundation-strengthening improvements in existing mainstream public data tools.

To increase the accessibility of relevant high quality life cycle inventory data according to FAIR principles and the EU’s open science policy by setting up actions to develop, review and make available existing databases, we:

Collate and assess technological readiness, FAIRness and PEF compliance key food-impact datasets.
Set recommendations for (and implemented selected) improvements via data-provider engagement.
Increase dissemination and uptake of food impact knowledge via a specialist AI agent.

SO-6 Accelerate uptake of new scientific knowledge and tools by key food system actors

To support to actors across the food systems through new available knowledge, shared existing data on environmental and climate impacts of food systems and identification of innovative solution we:

Increase dissemination and uptake of data via an specialist AI agent (also meeting SO-3).
Deploy new food impact data to ~20,000 EU farms to guide sustainability appraisal of farm techniques.
Improve the scientific basis of the CoolFarm Tool — a platform used by 10,000+ farmers / 150+ companies
Identify key barriers to use of existing food footprinting tools across the EU's food and beverage sector

Tasks

T1:Generate a centralised repository of food-linked data

T2:Targeted investments for FAIRness and PEF compliance

T3:Improve the technological readiness of key datasets

T4:Building statistical robustness to improve PEF quality

T5:Launch an AI conversational agent (AICA) for food LCA supply chain and environmental impact info

Deliverables

2027

D1:Data assessment report
A report detailing a structured assessment of food-related datasets and tools and their adherence to FAIR principles, alignment with Product Environmental Footprint standards, and examples of best practice.

D2:Recommendations sheets
Standardised recommendation sheets providing individual data and tool providers with practical guidance to improve data quality, accessibility, FAIRness and readiness for Product Environmental Footprint applications.

2028

D3:FAIR data recommendations
A report and/or research paper synthesising recommendations and findings from provider engagement and workshops to guide future improvements in the FAIRness and usability of food-related data and tools.

D4:Summary of implemented recommendations
A summary of improvements implemented in consortium datasets and tools in response to recommendations on FAIRness and technological readiness.

D5:LCA results calculated and published using open infrastructure
An open web resource enabling the calculation and publication of harmonised food life cycle assessment results using linked agricultural and farm input models with improved statistical robustness.

2029

D6:Database
A centralised database combining quantitative food footprint data and textual research findings to support the project's AI conversational tool. This deliverable may change slightly due to the rapid developments in AI.

D7:Green Grocer FoodprintGPT
A validated web-based AI conversational tool that answers natural-language questions about food life cycles, supply chains and environmental impacts using project data and research findings. This deliverable may change slightly due to the rapid developments in AI.