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:Breaking new ground: overcoming spatial and temporal limitations in agricultural production data

T2:Providing new-generation quantification of resource and energy use and eutrophying emissions in crop production

T3:Improving footprinting of feed and other resource use for animal products

T4:Modelling domestic and international trade and transport modes and emissions

T5:Align nutritional and environmental footprint data for easier direct comparison of environmental and dietary profile of foods

T6:Including Food Waste and Processing Into Food LCA Results

T7:Technical implementation and data merging for a PEF-compliant database

Deliverables

D1:Sub-national crop dataset

D2:LCIs of crops and animal products

D3:Regionalized LCIA data

D4:Trade and transport model

D5:PEF-compliant LCI data of food