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

T2.1: Generate a centralised repository of food-linked data

T2.2: Targeted investments for FAIRness and PEF compliance

T2.3: Improve the technological readiness of key datasets

T2.4: Building statistical robustness to improve PEF quality

T2.5: Launch an AI conversational agent (AICA) for food LCA, supply chain and environmental impact info

Deliverables

D2.1: Data assessment report

D2.2: Recommendations sheets

D2.3: FAIR data recommendations

D2.4: Summary of implemented recommendations

D2.5: LCA results calculated and published using open infrastructure

D2.6: Database

D2.7: Green Grocer FoodprintGPT