This resource reviews the benefits and challenges of metrics alignment and data sharing for organisations, and provides a roadmap and considerations to help think through undertaking them. The guidance builds on learnings from projects by ISEAL and its members, where metrics alignment and data sharing were key.
The Modelling a Path to More Sustainable Landscapes project is a three-year effort to spatially analyze the baseline risk of commodity production and the role of sustainability policies to mitigate those risks. This document is for people interested in increasing the value and integrity of data and in assessing the potential impacts of policy decisions in terms of agriculture production and environmental outcomes.
The Modelling a Path to More Sustainable Landscapes project is a three-year effort to spatially analyse the baseline risk of commodity production and the role of sustainability policies to mitigate those risks. This document is for people interested in increasing the value and integrity of data and in assessing the potential impacts of policy decisions in terms of agriculture production and environmental outcomes.
The Modelling a Path to More Sustainable Landscapes project is a three-year effort to spatially analyse the baseline risk of commodity production and the role of sustainability policies to mitigate those risks.  This document is for people interested in increasing the value and integrity of data and in assessing the potential impacts of policy decisions in terms of agriculture production and environmental outcomes.
This report assesses leading metrics for measuring and reporting performance over time and across multiple spatial scales. It examines six critical sustainability issues: deforestation, biodiversity, water use, forced labour, poverty, and greenhouse gas emissions. The research supports sustainability systems in making data-driven outcome claims and provides insight into evaluating metric suitability. The report focuses on applicability of metrics and data sources, best practices, and associated limitations and trade-offs.
Polygon data can provide huge benefits to sustainability systems if collected and used effectively. Recognising this, we have produced a package of tools and guidance on the benefits of polygon data and how to collect it.