As part of its 2030 Strategy, Better Cotton has committed to strengthen impacts at farm level across the countries where it works and is currently setting ambitious global targets in key impact areas. In parallel, Better Cotton is exploring whether a landscape approach can deliver better impacts and efficiencies, to facilitate an evaluation of the potential of landscape approaches in the context of the BCSS, Better Cotton developed the Adaptation to Landscape Approach (ATLA) project.

This document summarises a use case piloted as part of the Information and Data Standard for Sustainability project. It is for people interested in increasing the value and integrity of the data and information their organisation curates and manages. The ISEAL Core Metadata Set was developed through the Information and Data Standard for Sustainability project, led by the Forest Stewardship Council in partnership with ISEAL. 

In general, in a territory the social actors work collaboratively, they themselves define the channels and mechanisms of participation in accordance with their cultural framework and the roles recognized for each one.

This reference document presents a non-exhaustive list of all the HHPs used in coffee and cotton production globally. It has been compiled based on the information available with the Delta Project Team at the time of the finalization of the framework (June 2022).

The document at the bottom of this page provides a high level summary of what polygon location data is and why it is of significant value to sustainability standards. It aims to encourage decision makers within systems to consider the operational collection and use of polygon data within their organisations.

The paper provides insights on growth trends and geographic presence of seven ISEAL member schemes that are leading global agricultural standards across seven commodities. We focus on trends and presence in producing and exporting countries where these schemes are adopted, with a specific interest in presence in low and lower-income classified countries.

Funded by the Ford Foundation, the Demonstrating and Improving Poverty Impacts Project (DIPI) seeks to understand the contribution that certification systems can make to poverty alleviation and pro-poor development.