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The main objective of this report is to review the monitoring and evaluation (M&E) frameworks, tools and guidance documents that are available for climate-smart agriculture (CSA), and in particular for objective (“pillar”) two on adaptation and resilience. The report is a literature review and does not propose a new methodology. It is not an exhaustive list, but summarises the main M&E frameworks. This report represents the first step towards the development of operational guidelines for the design and implementation of national M&E frameworks for CSA, to be developed during the first quarter of 2019. The envisioned operational guidelines will address the core constraints and needs of Member States on both the design and implementation of an M&E system that can simultaneously address CSA and sector reporting requirements for the 2030 Agenda climate instruments. These guidelines will address the principal need expressed by Member States that M&E systems and indicators should be simple and not onerous. The intended users are practitioners designing CSA projects at country level and policy-makers coordinating national-sector monitoring and reporting efforts on climate change under the following three global agreements: the United Nations 2030 Agenda for Sustainable Development, the Sendai Framework for Disaster Risk Reduction, and the United Nations Framework Convention on Climate Change (UNFCCC) Paris Agreement of 2015.
Monitoring and evaluation (M&E) is recognized as critically important for tracking progress, whether it serves the purpose of accountability to donors, informs future improvements to CSA practices, or contributes to the aggregate global progress toward meeting the SDGs or the global stocktake under the Paris Agreement. There has been a growing chorus acknowledging the need to align the indicators and M&E frameworks of major donors with those of the three global agreements. Monitoring and reporting has begun on the SDGs, although the development of methodologies for various indicators is an evolving process. The development of specific indicators for the agriculture sector is also well underway for the Sendai Framework. The organizations conducting this work have recognized the need to streamline these processes. For example, they have already attempted to align several of the indicators between the SDGs and the Sendai Framework.These operational guidelines aim to address the core constraints and needs of FAO Member States on both the design and implementation of M&E systems that can simultaneously address CSA and sector reporting requirements for the 2030 Agenda, the Sendai Framework and the UNFCCC Paris Agreement. First and foremost, the guidelines acknowledge the principal need expressed by Member States that M&E systems and indicators be simple and not onerous. The challenges that have always existed with regard to M&E for CSA are still present, and are particularly pronounced for pillar 2, adaptation and resilience. These challenges to the development of indicators for pillar 2 have exhibited the greatest need for attention.
Climate change is a major challenge for agriculture, a vital source of food, income and employment for most of the world’s poor. Agricultural investments, as a result, need to become more climate sensitive. This is as true for general agricultural investments focused on development outcomes as for projects specifically addressing climate change adaptation and mitigation. This comprehensive knowledge product provides investment practitioners with practical reference material on integrating climate risk considerations at all stages of the investment project cycle, from design to implementation, monitoring and evaluation. Produced by multidisciplinary teams across FAO, the knowledge product is organized as a compendium of modules and thematic sections. It builds on a 2012 FAO guidance document and draws on the most recent information and data sources, including the latest Intergovernmental Panel on Climate Change (IPCC) reports. It also showcases FAO-developed tools, tested approaches and selected experiences, and discusses climate financing opportunities for agriculture.
The Data Quality Assessment Framework shows you how to measure and monitor data quality, ensuring quality over time. You'll start with general concepts of measurement and work your way through a detailed framework of more than three dozen measurement types related to five objective dimensions of quality: completeness, timeliness, consistency, validity, and integrity. Ongoing measurement, rather than one time activities will help your organization reach a new level of data quality. This plain-language approach to measuring data can be understood by both business and IT and provides practical guidance on how to apply the DQAF within any organization enabling you to prioritize measurements and effectively report on results. Strategies for using data measurement to govern and improve the quality of data and guidelines for applying the framework within a data asset are included. You'll come away able to prioritize which measurement types to implement, knowing where to place them in a data flow and how frequently to measure. Common conceptual models for defining and storing of data quality results for purposes of trend analysis are also included as well as generic business requirements for ongoing measuring and monitoring including calculations and comparisons that make the measurements meaningful and help understand trends and detect anomalies. - Demonstrates how to leverage a technology independent data quality measurement framework for your specific business priorities and data quality challenges - Enables discussions between business and IT with a non-technical vocabulary for data quality measurement - Describes how to measure data quality on an ongoing basis with generic measurement types that can be applied to any situation
"A praiseworthy introduction to the lore of maps and a mine of information for the amateur map-maker."—O.M. Miller, American Geographical Society "This book should be welcomed by all students of mapping, for it will take them in uncomplicated stages through the complexities of compiling a map. . . . Mr. Greenwood is to be congratulated on an excellent book."—C.J. Angus, Canadian Geographical Journal "For the baggy and middle-aged who cannot afford skiing in Austria or sailing off Bimini, Greenhood invites his readers to a sort of intellectual excitement which neither skiing nor sailing could equal. . . . Unless you work professionally with maps to the degree that a navigator does, for instance, this book will fascinate and enthrall you."—Monroe Bush, American Forests "A teacher who wishes to go into the classroom with a storehouse of knowledge and ideas will find this a remarkable book. It is easy to read, and each page contains information which can be fed into the work in progress no matter which area of the world is being studied."—Instructor
Arguing that there never was a time when politicians did not prevaricate and when some communities did not doubt conclusions that others considered to be facts, The Measurement of Information Integrity puts the post-truth era in context and offers measures for integrity in the modern world. Incorporating international examples from a range of disciplines, this book provides the reader with tools that will help them to evaluate public statements - especially ones involving the sciences and scholarship. It also provides intellectual tools to those who must assess potential violations of public or academic integrity. Many of these tools involve measurement mechanisms, ways of putting cases into context, and a recognition that few cases are simple black-and-white violations. Demonstrating that a binary approach to judging research integrity fails to recognize the complexity of the environment, Seadle highlights that even flawed discoveries may still contain value. Finally, the book reminds its reader that research integrity takes different forms in different disciplines and that each one needs separate consideration, even if the general principles remain the same for all. The Measurement of Information Integrity will help those who want to do research well, as well as those who must ascertain whether results have failed to meet the standards of the community. It will be of particular interest to researchers and students engaged in the study of library and information science.