There is growing commitment from supply chain and policy actors to advance action towards delivering living wages for workers around the world. Voluntary sustainability standards continue to be widely adopted by businesses (upstream and downstream) as approaches to advance on decent work and living wage goals. Read our one project to learn about the ISEAL-IDH project on living wage. 

This document discusses core concepts, such as consent and rights, that underpin governance of data use and sharing. It proposes general principles and steps for a reasoned and documented approach to data rights, control and sharing for the ISEAL community. The purpose of this guidance is to help sustainability systems: 1) establish certified entities’ rights to data related to certified activities; and 2) responsibly use and share those data.

This document provides an overview of the development of the ISEAL Code of Good Practice for Sustainability Systems (the ISEAL Code). It includes a summary of the consultations on the first and second drafts of the ISEAL Code, and an overview of key changes from the existing Codes of Good Practice. We would like to thank everyone who provided feedback on the drafts, and to those who supported the consultations by engaging with events and sharing information about the consultations with colleagues and stakeholders.

Benchmarking guide for analysing or evaluating sustainability initiatives or performance.

Read about the Living Wage Working Group that ran in 2021 and 2022 for Certification and Auditing Systems.

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.

Six years ago, ISEAL published a comprehensive review and synthesis of existing literature and evidence of the business benefits of using sustainability standards.

This 2017 report by Aidenvironment and commissioned by ISEAL, reviews the business benefits that using sustainability standards can deliver to various business entities along the length of the supply chain. It also aims to gain understanding on how benefits materialise and the limitations to the delivery of such benefits.

The presentation given by Kristin Komives and Vidya Rangan at the Global Sutainability Standards Symposium 2019, running through the current state of available evidence on the impacts of sustainability standards and similar systems.

There is now wide recognition that the ongoing pandemic has had a profound impact on women across all dimensions of economic and social activity. From shifting gender roles within the household to effects on women’s active role in the economy and the real health and well-being effects of the pandemic, there is a growing concern that women are ‘losing out’ severely. From the standpoint of sustainability standards and systems, the pandemic has opened up the opportunity to review many streams of work, including how they conduct their assurance activities.

This research aims to contribute evidence of the Impacts of Voluntary Sustainability Standards as well as provide a working definition for the concept of systemic impacts.

This technical paper identifies opportunities for further Guidance that we believe will strengthen an effective implementation of EUDR. ISEAL has been engaging closely with sustainability systems to understand how they are aligning and adapting in response to EUDR. In the process of adapting, sustainability systems have identified outstanding ambiguities in the Regulation and published FAQs (v1.2) which may hinder effective and consistent implementation of EUDR by operators and traders. Our paper identifies three opportunities for further guidance:

This document provides practical guidance for sustainability systems to support them in generating valuable and actionable insights from data. Utilizing concepts in data science, it is intended for sustainability systems seeking to maximise the value of their data, combine data sources, and enable improved data-driven decision making procedures.