Going Digital Guide to Data Governance Policy Making

Going Digital Guide to Data Governance Policy Making
Title Going Digital Guide to Data Governance Policy Making PDF eBook
Author OECD
Publisher OECD Publishing
Pages 70
Release 2022-12-14
Genre
ISBN 9264849955

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The ubiquitous collection, use, and sharing of data that power today’s economies challenge existing governance frameworks and policy approaches. Drawing on the extensive research and analysis conducted at the OECD on data governance, on countries’ policies and practices, and the OECD legal instruments in this area, the Going Digital Guide to Data Governance Policy Making supports policy makers in navigating three fundamental policy tensions that characterise efforts to develop, revise, and implement policies for data governance across policy domains in the digital age.

Going Digital to Advance Data Governance for Growth and Well-being

Going Digital to Advance Data Governance for Growth and Well-being
Title Going Digital to Advance Data Governance for Growth and Well-being PDF eBook
Author OECD
Publisher OECD Publishing
Pages 47
Release 2022-12-14
Genre
ISBN 9264649824

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Data are generated wherever digital technologies are deployed namely, in almost every part of modern life. Using these data can empower individuals, drive innovation, enable new digital products and improve policy making and public service delivery.

Data Governance: The Definitive Guide

Data Governance: The Definitive Guide
Title Data Governance: The Definitive Guide PDF eBook
Author Evren Eryurek
Publisher "O'Reilly Media, Inc."
Pages 254
Release 2021-03-08
Genre Business & Economics
ISBN 1492063460

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As your company moves data to the cloud, you need to consider a comprehensive approach to data governance, along with well-defined and agreed-upon policies to ensure you meet compliance. Data governance incorporates the ways that people, processes, and technology work together to support business efficiency. With this practical guide, chief information, data, and security officers will learn how to effectively implement and scale data governance throughout their organizations. You'll explore how to create a strategy and tooling to support the democratization of data and governance principles. Through good data governance, you can inspire customer trust, enable your organization to extract more value from data, and generate more-competitive offerings and improvements in customer experience. This book shows you how. Enable auditable legal and regulatory compliance with defined and agreed-upon data policies Employ better risk management Establish control and maintain visibility into your company's data assets, providing a competitive advantage Drive top-line revenue and cost savings when developing new products and services Implement your organization's people, processes, and tools to operationalize data trustworthiness.

International Economic Law in the Era of Datafication

International Economic Law in the Era of Datafication
Title International Economic Law in the Era of Datafication PDF eBook
Author Shin-yi Peng
Publisher Cambridge University Press
Pages 283
Release 2024-03-31
Genre Law
ISBN 1009354981

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This book investigates how international economic law can reduce the perils of datafication instead of enhancing them.

The Path to Becoming a Data-Driven Public Sector

The Path to Becoming a Data-Driven Public Sector
Title The Path to Becoming a Data-Driven Public Sector PDF eBook
Author Oecd
Publisher Org. for Economic Cooperation & Development
Pages 168
Release 2019-11-28
Genre
ISBN 9789264517950

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Twenty-first century governments must keep pace with the expectations of their citizens and deliver on the promise of the digital age. Data-driven approaches are particularly effective for meeting those expectations and rethinking the way governments and citizens interact. This report highlights the important role data can play in creating conditions that improve public services, increase the effectiveness of public spending and inform ethical and privacy considerations. It presents a data-driven public sector framework that can help countries or organisations assess the elements needed for using data to make better-informed decisions across public sectors.

LOGIC: Good Practice Principles for Mainstreaming Behavioural Public Policy

LOGIC: Good Practice Principles for Mainstreaming Behavioural Public Policy
Title LOGIC: Good Practice Principles for Mainstreaming Behavioural Public Policy PDF eBook
Author OECD
Publisher OECD Publishing
Pages 118
Release 2024-05-23
Genre
ISBN 9264924655

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This report outlines good practice principles intended to encourage the incorporation of behavioural perspectives as part of standard policymaking practice in government and governmental organisations.

DAMA-DMBOK

DAMA-DMBOK
Title DAMA-DMBOK PDF eBook
Author Dama International
Publisher
Pages 628
Release 2017
Genre Database management
ISBN 9781634622349

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Defining a set of guiding principles for data management and describing how these principles can be applied within data management functional areas; Providing a functional framework for the implementation of enterprise data management practices; including widely adopted practices, methods and techniques, functions, roles, deliverables and metrics; Establishing a common vocabulary for data management concepts and serving as the basis for best practices for data management professionals. DAMA-DMBOK2 provides data management and IT professionals, executives, knowledge workers, educators, and researchers with a framework to manage their data and mature their information infrastructure, based on these principles: Data is an asset with unique properties; The value of data can be and should be expressed in economic terms; Managing data means managing the quality of data; It takes metadata to manage data; It takes planning to manage data; Data management is cross-functional and requires a range of skills and expertise; Data management requires an enterprise perspective; Data management must account for a range of perspectives; Data management is data lifecycle management; Different types of data have different lifecycle requirements; Managing data includes managing risks associated with data; Data management requirements must drive information technology decisions; Effective data management requires leadership commitment.