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This Handbook intends to inform Data Providers and researchers on how to provide privacy-protected access to, handle, and analyze administrative data, and to link them with existing resources, such as a database of data use agreements (DUA) and templates. Available publicly, the Handbook will provide guidance on data access requirements and procedures, data privacy, data security, property rights, regulations for public data use, data architecture, data use and storage, cost structure and recovery, ethics and privacy-protection, making data accessible for research, and dissemination for restricted access use. The knowledge base will serve as a resource for all researchers looking to work with administrative data and for Data Providers looking to make such data available.
This is part of a ten volume set of reference books offering authoritative and engaging critical overviews of the state of political science. This work explores the business end of politics, where theory meets practice in the pursuit of public good.
This state-of-the-art Research Handbook provides an overview of research into, and the scope of current thinking in, the field of big data analytics and the law. It contains a wealth of information to survey the issues surrounding big data analytics in legal settings, as well as legal issues concerning the application of big data techniques in different domains.
The Oxford Handbook of Evidence-based Management shows how leaders and managers can make effective use of best available evidence in the decisions they make — and what educators and researchers need to do to help them come to the right solution.
"The core animating feature of administrative justice scholarship is the desire to understand how justice is achieved through the delivery of public services and the actions, inactions, and decision-making of administrative bodies. The study of administrative justice also encompasses the redress systems by which people can challenge administrative bodies to seek the correction of injustices. For a long time now, scholars have been interested in administrative justice, but without necessarily framing their work as such. Rather than existing under the rubric of administrative justice, much of the research undertaken has existed within sub-categories of disciplines, such as law, sociology, public policy, politics, and public administration. Consequently, although aspects of the topic have attracted rich contributions across such disciplines, administrative justice has rarely been studied or taught in a manner that integrates these areas of research more systematically. This Handbook signals a major change of approach. Drawing together a group of world-leading scholars of administrative justice from a range of disciplines, The Oxford Handbook of Administrative Justice shows how administrative justice is a vibrant, complex, and contested field that is best understood as an area of inquiry in its own right, rather than through traditional disciplinary silos"--
Statistical agencies, research organizations, companies, and other data stewards that seek to share data with the public face a challenging dilemma. They need to protect the privacy and confidentiality of data subjects and their attributes while providing data products that are useful for their intended purposes. In an age when information on data subjects is available from a wide range of data sources, as are the computational resources to obtain that information, this challenge is increasingly difficult. The Handbook of Sharing Confidential Data helps data stewards understand how tools from the data confidentiality literature—specifically, synthetic data, formal privacy, and secure computation—can be used to manage trade-offs in disclosure risk and data usefulness. Key features: • Provides overviews of the potential and the limitations of synthetic data, differential privacy, and secure computation • Offers an accessible review of methods for implementing differential privacy, both from methodological and practical perspectives • Presents perspectives from both computer science and statistical science for addressing data confidentiality and privacy • Describes genuine applications of synthetic data, formal privacy, and secure computation to help practitioners implement these approaches The handbook is accessible to both researchers and practitioners who work with confidential data. It requires familiarity with basic concepts from probability and data analysis.
On topics from genetic engineering and mad cow disease to vaccination and climate change, this Handbook draws on the insights of 57 leading science of science communication scholars who explore what social scientists know about how citizens come to understand and act on what is known by science.
ADMINISTRATIVE RECORDS FOR SURVEY METHODOLOGY Addresses the international use of administrative records for large-scale surveys, censuses, and other statistical purposes Administrative Records for Survey Methodology is a comprehensive guide to improving the quality, cost-efficiency, and interpretability of surveys and censuses using administrative data research. Contributions from a team of internationally-recognized experts provide practical approaches for integrating administrative data in statistical surveys, and discuss the methodological issues—including concerns of privacy, confidentiality, and legality—involved in collecting and analyzing administrative records. Numerous real-world examples highlight technological and statistical innovations, helping readers gain a better understanding of both fundamental methods and advanced techniques for controlling data quality reducing total survey error. Divided into four sections, the first describes the basics of administrative records research and addresses disclosure limitation and confidentiality protection in linked data. Section two focuses on data quality and linking methodology, covering topics such as quality evaluation, measuring and controlling for non-consent bias, and cleaning and using administrative lists. The third section examines the use of administrative records in surveys and includes case studies of the Swedish register-based census and the administrative records applications used for the US 2020 Census. The book’s final section discusses combining administrative and survey data to improve income measurement, enhancing health surveys with data linkage, and other uses of administrative data in evidence-based policymaking. This state-of-the-art resource: Discusses important administrative data issues and suggests how administrative data can be integrated with more traditional surveys Describes practical uses of administrative records for evidence-driven decisions in both public and private sectors Emphasizes using interdisciplinary methodology and linking administrative records with other data sources Explores techniques to leverage administrative data to improve the survey frame, reduce nonresponse follow-up, assess coverage error, measure linkage non-consent bias, and perform small area estimation. Administrative Records for Survey Methodology is an indispensable reference and guide for statistical researchers and methodologists in academia, industry, and government, particularly census bureaus and national statistical offices, and an ideal supplemental text for undergraduate and graduate courses in data science, survey methodology, data collection, and data analysis methods.
The Government Analytics Handbook presents frontier evidence and practitioner insights on how to leverage data to strengthen public administration. Covering a range of microdata sources—such as administrative data and public servant surveys—as well as tools and resources for undertaking the analytics, it transforms the ability of governments to take a data-informed approach to diagnose and improve how public organizations work. Readers can order the book as a single volume in print or digital formats, or visit worldbank.org/governmentanalytics for modular access and additional hands-on tools. The Handbook is a must-have for practitioners, policy makers, academics, and government agencies. “Governments have long been assessed using aggregate governance indicators, giving us little insight into their diversity and how they can practically be improved. This pioneering handbook shows how microdata can be used to give scholars and practitioners granular and real insights into how states work, and practical guidance on the process of state-building.†? —Francis Fukuyama, Stanford University, author of State-Building: Governance and World Order in the 21st Century “The Government Analytics Handbook is the most comprehensive work on practically building government administration I have ever seen, helping practitioners to change public administration for the better.†? —Francisco Gaetani, Special Secretary for State Transformation, Government of Brazil “The machinery of the state is central to a country’s prosperity. This handbook provides insights and methodological tools for creating a better shared understanding of the realities of a state, to support the redesign of institutions, and improve the quality of public administration.†? —James Robinson, University of Chicago, coauthor of Why Nations Fail