Environmental, Social, and Governance (ESG) considerations are becoming increasingly critical in the development and implementation of sustainable practices across various sectors. This document aims to provide comprehensive guidance on data collection methodologies as outlined in the 2006 IPCC Guidelines for National Greenhouse Gas Inventories. The primary objective is to equip countries with the necessary tools and strategies to establish, adapt, and periodically review their data collection activities, ensuring they align with national circumstances and resource availability. Readers will find answers to key questions such as: What are the best practices for gathering existing data and generating new data? How can data be adapted for inventory use? What are the specific considerations for emission factors and direct measurement of emissions? Additionally, the document delves into the nuances of maintaining data flows, improving estimates, and addressing confidentiality concerns. By the end of this document, readers will have a clear understanding of the methodological principles that underpin good data collection practices. They will learn how to prioritize data collection activities, choose appropriate procedures, and implement continuous improvement strategies. The document also provides insights into the use of expert judgment and the importance of maintaining robust QA/QC records. This introduction sets the stage for a detailed exploration of data collection approaches, offering valuable guidance for both countries establishing a data collection strategy for the first time and those with established procedures. Whether you are a policy maker, data analyst, or environmental consultant, this document will help you make informed decisions about your data collection practices, ultimately contributing to more accurate and reliable greenhouse gas inventories.
data collection greenhouse gas inventory emission factors activity data uncertainty data expert judgement national statistical agency quality assurance quality control transparency comparability completeness accuracy timeliness data quality objectives measurement programme statistical methods surveys censuses surrogate data direct measurement ipcc emission factor database national inventory reports environmental statistics data processing data adaptation data acquisition data sources literature review sampling methods agricultural surveys forestry assessments waste surveys energy statistics industrial surveys statistical capacity building data confidentiality data reliability data validation
India , European Union , Ireland , United States of America , United Kingdom , New Zealand , Canada , Singapore , Australia