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The adoption of crowdsourced geographic data, or volunteered geographic information (VGI), as a valuable source of spatial data is growing at all levels of government. VGI is crowdsourced geographic information provided by a wide range of participants with varying levels of education, knowledge and skills. Despite some initial concerns about data quality during early development of VGI approaches, extensive research now demonstrates that the reliability and accuracy of VGI is suitable for official or government use. Such concerns should no longer be a reason for the lack of government adoption of VGI. Nonetheless, significant challenges remain for governments seeking to take full advantage of the benefits that crowdsourcing offer. This research used a case study approach to understand factors that have contributed to the success of government VGI efforts, some of which include supportive organizational or legal contexts, the presence of local champions, and project design elements. This policy brief summarizes the findings of the research report identifying success factors in crowdsourced geographic information use in government produced by the World Bank global facility for disaster reduction and recovery (GFDRR) in partnership with scholars from University College London (UCL). This brief explains the report's context, methodology, main findings and recommendations.

Crowdsourcing --- Data Collection

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This paper describes a framework of supply and demand factors that could affect birth registration coverage rates, particularly in the context of social transfers. Within this framework, a review of the empirical literature (academic and grey) was conducted on incentives that have been demonstrated to increase birth registration coverage. More than two hundred articles were reviewed, and forty-two (twenty-three academic and nineteen grey) were selected for this study based on relevance. The literature encompassed evidence from Asia, Africa, and Latin America on linking birth registration with social transfer programs, such as cash transfers, which have resulted in increased birth registration rates. The methods in the literature on incentives for countries to increase birth registration coverage vary. There is a lack of scholarly research on incentives to address both supply and demand barriers for birth registration and a need for more robust literature on the topic.

Cash Transfers --- Data Collection --- Health Policy

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Established in 2016, the World Bank living standards measurement study - plus (LSMS+) program works to enhance the availability and quality of intra-household, self-reported, individual-disaggregated survey data collected in low- and middle-income countries on key dimensions of men's and women's economic opportunities and welfare. This report presents an overview of the LSMS+ program and provides operational guidance regarding individual-disaggregated data collection in large-scale household surveys, based on the experience with and analysis of the national surveys that have been implemented by the respective national statistical offices (NSOs) in Cambodia, Ethiopia, Malawi, Tanzania over the period 2016-2020, with support from the LSMS+ program.

Data Collection --- Employment --- Labor Market --- Living Standards --- Poverty Monitoring and Analysis --- Poverty Reduction

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Advances in agricultural data production provide ever-increasing opportunities for pushing the research frontier in agricultural economics and designing better agricultural policy. As new technologies present opportunities to create new and integrated data sources, researchers face trade-offs in survey design that may reduce measurement error or increase coverage. This paper first reviews the econometric and survey methodology literatures that focus on the sources of measurement error and coverage bias in agricultural data collection. Second, it provides examples of how agricultural data structure affects testable empirical models. Finally, it reviews the challenges and opportunities offered by technological innovation to meet old and new data demands and address key empirical questions, focusing on the scalable data innovations of greatest potential impact for empirical methods and research.

Agricultural Knowledge and Information Systems --- Agricultural Research --- Agricultural Sector Economics --- Agriculture --- Data Collection --- Survey Design

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The July 2021 release of learning poverty estimates involves several changes to the data underlying the country-level learning poverty figures. This document provides details of the key changes made. Some country-level estimates have changed or become available for the first time due to new data from recent assessments: TIMSS 2019, PASEC 2019, and SEA-PLM 2019. In cases where new assessment data call for a change to the learning poverty estimates, the corresponding enrollment data used for learning poverty calculations have also been updated so that the enrollment year is as close as possible to the assessment year, depending on data availability. In the latest release, country-level estimates of learning poverty are available for 120 countries.

Data Collection --- Education --- Education For All --- Inequality --- Poverty Monitoring and Analysis --- Poverty Reduction