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New Data Governance Act

New Data Governance Act
Author: Kristina Schreiber
Publisher: Nomos/Hart
Total Pages: 0
Release: 2023-08-10
Genre: Law
ISBN: 1509969969

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This guide serves as the first point of reference for all those who have to comply with or apply the Data Governance Act ('DGA'). Tightly structured within a clear framework it provides an overall view of the DGA as well as offering more detailed information on the individual articles. It goes further, addressing pressing follow up questions such as legal protection. This will be invaluable to companies, public authorities, and consultants as well as courts and research institutions coming to grips with the DGA.


Data Governance: The Definitive Guide

Data Governance: The Definitive Guide
Author: Evren Eryurek
Publisher: "O'Reilly Media, Inc."
Total 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.


Commentary on the Data Governance Act

Commentary on the Data Governance Act
Author: Louisa Specht-Riemenschneider
Publisher: Beck/Hart/Nomos
Total Pages: 256
Release: 2022-10-20
Genre: Law
ISBN: 9781509957118

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This commentary provides an expert guide to the Act, giving an authoritative and rigorous overview of its reach and scope. The Data Governance Act (DGA) allows for increased access to data. Specifically it harmonises the conditions for the re-use of public sector data which is subject to certain third-party rights, it establishes a framework for private data sharing services that allows users impart personal data, and it introduces a framework for data sharing for altruistic purposes.


Data Governance Act

Data Governance Act
Author: Louisa Specht-Riemenschneider
Publisher:
Total Pages: 0
Release: 2023
Genre:
ISBN: 9783406792533

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GOVERNANCE OF/THROUGH BIG DATA. Volume II

GOVERNANCE OF/THROUGH BIG DATA. Volume II
Author: Giorgio Resta
Publisher: Roma TrE-Press
Total Pages: 300
Release: 2023-05-20
Genre: Law
ISBN:

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These two volumes collect twenty five articles and papers published within the “Governance of/through Data” research project financed by the Italian Ministry of Universities. The research project, which was promoted by Roma Tre University, as project lead, and saw the participation of professors and reseachers from Bocconi University in Milan; LUMSA University in Rome; Salento University in Lecce and Turin Polytechnic, cover multiple issues which are here presented in five sections: Algorithms and artificial intelligence; Antitrust, artificial intelligence and data; Big Data; Data governance; Data protection and privacy.


Data Governance in AI, FinTech and LegalTech

Data Governance in AI, FinTech and LegalTech
Author: Lee, Joseph
Publisher: Edward Elgar Publishing
Total Pages: 320
Release: 2022-05-19
Genre: Law
ISBN: 1800379951

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A comprehensive overview of the governance of urban infrastructures, this Companion combines illustrative cases with conceptual approaches to offer an innovative perspective on the governance of large urban infrastructure systems. Chapters examine the challenges facing urban infrastructure systems, including financial, economic, technological, social, ecological, jurisdictional and demand.


The Birth of Digital Human Rights

The Birth of Digital Human Rights
Author: Rebekah Dowd
Publisher: Springer Nature
Total Pages: 284
Release: 2021-11-17
Genre: Political Science
ISBN: 3030829693

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This book considers contested responsibilities between the public and private sectors over the use of online data, detailing exactly how digital human rights evolved in specific European states and gradually became a part of the European Union framework of legal protections. The author uniquely examines why and how European lawmakers linked digital data protection to fundamental human rights, something heretofore not explained in other works on general data governance and data privacy. In particular, this work examines the utilization of national and European Union institutional arrangements as a location for activism by legal and academic consultants and by first-mover states who legislated digital human rights beginning in the 1970s. By tracing the way that EU Member States and non-state actors utilized the structure of EU bodies to create the new norm of digital human rights, readers will learn about the process of expanding the scope of human rights protections within multiple dimensions of European political space. The project will be informative to scholar, student, and layperson, as it examines a new and evolving area of technology governance – the human rights of digital data use by the public and private sectors.


DAMA-DMBOK

DAMA-DMBOK
Author: Dama International
Publisher:
Total 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.


MASTER DATA MANAGEMENT AND DATA GOVERNANCE, 2/E

MASTER DATA MANAGEMENT AND DATA GOVERNANCE, 2/E
Author: Alex Berson
Publisher: McGraw Hill Professional
Total Pages: 537
Release: 2010-12-06
Genre: Computers
ISBN: 0071744592

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The latest techniques for building a customer-focused enterprise environment "The authors have appreciated that MDM is a complex multidimensional area, and have set out to cover each of these dimensions in sufficient detail to provide adequate practical guidance to anyone implementing MDM. While this necessarily makes the book rather long, it means that the authors achieve a comprehensive treatment of MDM that is lacking in previous works." -- Malcolm Chisholm, Ph.D., President, AskGet.com Consulting, Inc. Regain control of your master data and maintain a master-entity-centric enterprise data framework using the detailed information in this authoritative guide. Master Data Management and Data Governance, Second Edition provides up-to-date coverage of the most current architecture and technology views and system development and management methods. Discover how to construct an MDM business case and roadmap, build accurate models, deploy data hubs, and implement layered security policies. Legacy system integration, cross-industry challenges, and regulatory compliance are also covered in this comprehensive volume. Plan and implement enterprise-scale MDM and Data Governance solutions Develop master data model Identify, match, and link master records for various domains through entity resolution Improve efficiency and maximize integration using SOA and Web services Ensure compliance with local, state, federal, and international regulations Handle security using authentication, authorization, roles, entitlements, and encryption Defend against identity theft, data compromise, spyware attack, and worm infection Synchronize components and test data quality and system performance


The DAMA Dictionary of Data Management

The DAMA Dictionary of Data Management
Author: DAMA International
Publisher:
Total Pages: 0
Release: 2011
Genre: Database management
ISBN: 9781935504122

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A glossary of over 2,000 terms which provides a common data management vocabulary for IT and Business professionals, and is a companion to the DAMA Data Management Body of Knowledge (DAMA-DMBOK). Topics include: Analytics & Data Mining Architecture Artificial Intelligence Business Analysis DAMA & Professional Development Databases & Database Design Database Administration Data Governance & Stewardship Data Management Data Modeling Data Movement & Integration Data Quality Management Data Security Management Data Warehousing & Business Intelligence Document, Record & Content Management Finance & Accounting Geospatial Data Knowledge Management Marketing & Customer Relationship Management Meta-Data Management Multi-dimensional & OLAP Normalization Object-Orientation Parallel Database Processing Planning Process Management Project Management Reference & Master Data Management Semantic Modeling Software Development Standards Organizations Structured Query Language (SQL) XML Development