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| data management and privacy: Security, Privacy, and Trust in Modern Data Management Milan Petkovic, Willem Jonker, 2007-06-12 The vision of ubiquitous computing and ambient intelligence describes a world of technology which is present anywhere, anytime in the form of smart, sensible devices that communicate with each other and provide personalized services. However, open interconnected systems are much more vulnerable to attacks and unauthorized data access. In the context of this threat, this book provides a comprehensive guide to security and privacy and trust in data management. |
| data management and privacy: Customer Data and Privacy: The Insights You Need from Harvard Business Review Harvard Business Review, Timothy Morey, Andrew Burt, Christine Moorman, Thomas C. Redman, 2020-09-22 Collect data and build trust. With the rise of data science and machine learning, companies are awash in customer data and powerful new ways to gain insight from that data. But in the absence of regulation and clear guidelines from most federal or state governments, it's difficult for companies to understand what qualifies as reasonable use and then determine how to act in the best interest of their customers. How do they build, not erode, trust? Customer Data and Privacy: The Insights You Need from Harvard Business Review brings you today's most essential thinking on customer data and privacy to help you understand the tangled interdependencies and complexities of this evolving issue. The lessons in this book will help you develop strategies that allow your company to be a good steward, collecting, using, and storing customer data responsibly. Business is changing. Will you adapt or be left behind? Get up to speed and deepen your understanding of the topics that are shaping your company's future with the Insights You Need from Harvard Business Review series. Featuring HBR's smartest thinking on fast-moving issues—blockchain, cybersecurity, AI, and more—each book provides the foundational introduction and practical case studies your organization needs to compete today and collects the best research, interviews, and analysis to get it ready for tomorrow. You can't afford to ignore how these issues will transform the landscape of business and society. The Insights You Need series will help you grasp these critical ideas—and prepare you and your company for the future. |
| data management and privacy: Data Privacy Nishant Bhajaria, 2022-03-22 Engineer privacy into your systems with these hands-on techniques for data governance, legal compliance, and surviving security audits. In Data Privacy you will learn how to: Classify data based on privacy risk Build technical tools to catalog and discover data in your systems Share data with technical privacy controls to measure reidentification risk Implement technical privacy architectures to delete data Set up technical capabilities for data export to meet legal requirements like Data Subject Asset Requests (DSAR) Establish a technical privacy review process to help accelerate the legal Privacy Impact Assessment (PIA) Design a Consent Management Platform (CMP) to capture user consent Implement security tooling to help optimize privacy Build a holistic program that will get support and funding from the C-Level and board Data Privacy teaches you to design, develop, and measure the effectiveness of privacy programs. You’ll learn from author Nishant Bhajaria, an industry-renowned expert who has overseen privacy at Google, Netflix, and Uber. The terminology and legal requirements of privacy are all explained in clear, jargon-free language. The book’s constant awareness of business requirements will help you balance trade-offs, and ensure your user’s privacy can be improved without spiraling time and resource costs. About the technology Data privacy is essential for any business. Data breaches, vague policies, and poor communication all erode a user’s trust in your applications. You may also face substantial legal consequences for failing to protect user data. Fortunately, there are clear practices and guidelines to keep your data secure and your users happy. About the book Data Privacy: A runbook for engineers teaches you how to navigate the trade-off s between strict data security and real world business needs. In this practical book, you’ll learn how to design and implement privacy programs that are easy to scale and automate. There’s no bureaucratic process—just workable solutions and smart repurposing of existing security tools to help set and achieve your privacy goals. What's inside Classify data based on privacy risk Set up capabilities for data export that meet legal requirements Establish a review process to accelerate privacy impact assessment Design a consent management platform to capture user consent About the reader For engineers and business leaders looking to deliver better privacy. About the author Nishant Bhajaria leads the Technical Privacy and Strategy teams for Uber. His previous roles include head of privacy engineering at Netflix, and data security and privacy at Google. Table of Contents PART 1 PRIVACY, DATA, AND YOUR BUSINESS 1 Privacy engineering: Why it’s needed, how to scale it 2 Understanding data and privacy PART 2 A PROACTIVE PRIVACY PROGRAM: DATA GOVERNANCE 3 Data classification 4 Data inventory 5 Data sharing PART 3 BUILDING TOOLS AND PROCESSES 6 The technical privacy review 7 Data deletion 8 Exporting user data: Data Subject Access Requests PART 4 SECURITY, SCALING, AND STAFFING 9 Building a consent management platform 10 Closing security vulnerabilities 11 Scaling, hiring, and considering regulations |
| data management and privacy: Data Privacy Nataraj Venkataramanan, Ashwin Shriram, 2016-10-03 The book covers data privacy in depth with respect to data mining, test data management, synthetic data generation etc. It formalizes principles of data privacy that are essential for good anonymization design based on the data format and discipline. The principles outline best practices and reflect on the conflicting relationship between privacy and utility. From a practice standpoint, it provides practitioners and researchers with a definitive guide to approach anonymization of various data formats, including multidimensional, longitudinal, time-series, transaction, and graph data. In addition to helping CIOs protect confidential data, it also offers a guideline as to how this can be implemented for a wide range of data at the enterprise level. |
| data management and privacy: The Privacy Engineer's Manifesto Michelle Dennedy, Jonathan Fox, Tom Finneran, 2014-03-04 It's our thesis that privacy will be an integral part of the next wave in the technology revolution and that innovators who are emphasizing privacy as an integral part of the product life cycle are on the right track. --The authors of The Privacy Engineer's Manifesto The Privacy Engineer's Manifesto: Getting from Policy to Code to QA to Value is the first book of its kind, offering industry-proven solutions that go beyond mere theory and adding lucid perspectives on the challenges and opportunities raised with the emerging personal information economy. The authors, a uniquely skilled team of longtime industry experts, detail how you can build privacy into products, processes, applications, and systems. The book offers insight on translating the guiding light of OECD Privacy Guidelines, the Fair Information Practice Principles (FIPPs), Generally Accepted Privacy Principles (GAPP) and Privacy by Design (PbD) into concrete concepts that organizations, software/hardware engineers, and system administrators/owners can understand and apply throughout the product or process life cycle—regardless of development methodology—from inception to retirement, including data deletion and destruction. In addition to providing practical methods to applying privacy engineering methodologies, the authors detail how to prepare and organize an enterprise or organization to support and manage products, process, systems, and applications that require personal information. The authors also address how to think about and assign value to the personal information assets being protected. Finally, the team of experts offers thoughts about the information revolution that has only just begun, and how we can live in a world of sensors and trillions of data points without losing our ethics or value(s)...and even have a little fun. The Privacy Engineer's Manifesto is designed to serve multiple stakeholders: Anyone who is involved in designing, developing, deploying and reviewing products, processes, applications, and systems that process personal information, including software/hardware engineers, technical program and product managers, support and sales engineers, system integrators, IT professionals, lawyers, and information privacy and security professionals. This book is a must-read for all practitioners in the personal information economy. Privacy will be an integral part of the next wave in the technology revolution; innovators who emphasize privacy as an integral part of the product life cycle are on the right track. Foreword by Dr. Eric Bonabeau, PhD, Chairman, Icosystem, Inc. & Dean of Computational Sciences, Minerva Schools at KGI. |
| data management and privacy: Visual Privacy Management Mattia Salnitri, Jan Jürjens, Haralambos Mouratidis, Loredana Mancini, Paolo Giorgini, 2020-10-13 Privacy is a burden for most organizations, the more complex and wider an organization is, the harder to manage and enforce privacy is. GDPR and other regulations on privacy impose strict constraints that must be coherently enforced, considering also privacy needs of organization and their users. Furthermore, organizations should allow their users to express their privacy needs easily, even when the process that manages users' data is complex and involves multiple organizations. Many research work consider the problem using simplistic examples, with solutions proposed that never actually touch pragmatic problems of real, large organizations, with thousands of users and terabytes of personal and sensitive data. This book faces the privacy management problem targeting actual large organizations, such as public administrations, including stakeholders in the process of definition of the solution and evaluating the results with its actual integration in four large organizations. The contribution of this book is twofold: a privacy platform that can be customized and used to manage privacy in large organizations; and the process for the design of such a platform, from a state-of-the-art survey on privacy regulations, through the definition of its requirements, its design and its architecture, until the evaluation of the platform. |
| data management and privacy: Global Business Leadership Development for the Fourth Industrial Revolution Smith, Peter, Cockburn, Tom, 2020-09-25 As the world has adapted to the age of digital technology, present day business leaders are required to change with the times as well. Addressing and formatting their business practices to not only encompass digital technologies, but expand their capabilities, the leaders of today must be flexible and willing to familiarize themselves with all types of global business practices. Global Business Leadership Development for the Fourth Industrial Revolution is a collection of advanced research on the methods and tactics utilized to succeed as a leader in the digital age. While highlighting topics including data privacy, corporate governance, and risk management, this book is ideally designed for business professionals, administrators, managers, executives, researchers, academicians, and business students who want to improve their understanding of the strategic role of digital technologies in the global economy, in networks and organizations, in teams and work groups, in information systems, and at the level of individuals as actors in digitally networked environments |
| data management and privacy: Privacy and Security Policies in Big Data Tamane, Sharvari, Solanki, Vijender Kumar, Dey, Nilanjan, 2017-03-03 In recent years, technological advances have led to significant developments within a variety of business applications. In particular, data-driven research provides ample opportunity for enterprise growth, if utilized efficiently. Privacy and Security Policies in Big Data is a pivotal reference source for the latest research on innovative concepts on the management of security and privacy analytics within big data. Featuring extensive coverage on relevant areas such as kinetic knowledge, cognitive analytics, and parallel computing, this publication is an ideal resource for professionals, researchers, academicians, advanced-level students, and technology developers in the field of big data. |
| data management and privacy: Secure Searchable Encryption and Data Management Brij B. Gupta, Mamta, 2021-03-16 With the advent of the IT revolution, the volume of data produced has increased exponentially and is still showing an upward trend. This data may be abundant and enormous, but it’s a precious resource and should be managed properly. Cloud technology plays an important role in data management. Storing data in the cloud rather than on local storage has many benefits, but apart from these benefits, there are privacy concerns in storing sensitive data over third-party servers. These concerns can be addressed by storing data in an encrypted form; however, while encryption solves the problem of privacy, it engenders other serious issues, including the infeasibility of the fundamental search operation and a reduction in flexibility when sharing data with other users, amongst others. The concept of searchable encryption addresses these issues. This book provides every necessary detail required to develop a secure, searchable encryption scheme using both symmetric and asymmetric cryptographic primitives along with the appropriate security models to ensure the minimum security requirements for real-world applications. |
| data management and privacy: Research Anthology on Privatizing and Securing Data Management Association, Information Resources, 2021-04-23 With the immense amount of data that is now available online, security concerns have been an issue from the start, and have grown as new technologies are increasingly integrated in data collection, storage, and transmission. Online cyber threats, cyber terrorism, hacking, and other cybercrimes have begun to take advantage of this information that can be easily accessed if not properly handled. New privacy and security measures have been developed to address this cause for concern and have become an essential area of research within the past few years and into the foreseeable future. The ways in which data is secured and privatized should be discussed in terms of the technologies being used, the methods and models for security that have been developed, and the ways in which risks can be detected, analyzed, and mitigated. The Research Anthology on Privatizing and Securing Data reveals the latest tools and technologies for privatizing and securing data across different technologies and industries. It takes a deeper dive into both risk detection and mitigation, including an analysis of cybercrimes and cyber threats, along with a sharper focus on the technologies and methods being actively implemented and utilized to secure data online. Highlighted topics include information governance and privacy, cybersecurity, data protection, challenges in big data, security threats, and more. This book is essential for data analysts, cybersecurity professionals, data scientists, security analysts, IT specialists, practitioners, researchers, academicians, and students interested in the latest trends and technologies for privatizing and securing data. |
| data management and privacy: Privacy and Big Data Terence Craig, Mary Ludloff, 2011-09-23 The players, regulators, and stakeholders--Cover. |
| data management and privacy: Performance Dashboards Wayne W. Eckerson, 2005-10-27 Tips, techniques, and trends on how to use dashboard technology to optimize business performance Business performance management is a hot new management discipline that delivers tremendous value when supported by information technology. Through case studies and industry research, this book shows how leading companies are using performance dashboards to execute strategy, optimize business processes, and improve performance. Wayne W. Eckerson (Hingham, MA) is the Director of Research for The Data Warehousing Institute (TDWI), the leading association of business intelligence and data warehousing professionals worldwide that provide high-quality, in-depth education, training, and research. He is a columnist for SearchCIO.com, DM Review, Application Development Trends, the Business Intelligence Journal, and TDWI Case Studies & Solution. |
| data management and privacy: GDPR For Dummies Suzanne Dibble, 2019-11-22 Don’t be afraid of the GDPR wolf! How can your business easily comply with the new data protection and privacy laws and avoid fines of up to $27M? GDPR For Dummies sets out in simple steps how small business owners can comply with the complex General Data Protection Regulations (GDPR). These regulations apply to all businesses established in the EU and to businesses established outside of the EU insofar as they process personal data about people within the EU. Inside, you’ll discover how GDPR applies to your business in the context of marketing, employment, providing your services, and using service providers. Learn how to avoid fines, regulatory investigations, customer complaints, and brand damage, while gaining a competitive advantage and increasing customer loyalty by putting privacy at the heart of your business. Find out what constitutes personal data and special category data Gain consent for online and offline marketing Put your Privacy Policy in place Report a data breach before being fined 79% of U.S. businesses haven’t figured out how they’ll report breaches in a timely fashion, provide customers the right to be forgotten, conduct privacy impact assessments, and more. If you are one of those businesses that hasn't put a plan in place, then GDPR For Dummies is for you. |
| data management and privacy: Data Protection and Information Lifecycle Management Thomas D. Petrocelli, 2006 This book introduces Information Lifecycle Management (ILM), a powerful new strategy for managing enterprise information based on its value over time. The author explains emerging techniques for protecting storage systems and storage networks, and for integrating storage security into your overall security plan. He also presents new technical advances and opportunities to improve existing data-protection processes, including backup/restore, replication, and remote copy. |
| data management and privacy: Data Protection and Compliance in Context Stewart Room, 2007 Large-scale data loss continues to make headline news, highlighting the need for stringent data protection policies, especially when personal or commercially sensitive information is at stake. This book provides detailed analysis of current data protection laws and discusses compliance issues, enabling the reader to construct a platform on which to build internal compliance strategies. The author is chair of the National Association of Data Protection Officers (NADPO). |
| data management and privacy: Database and Applications Security Bhavani Thuraisingham, 2005-05-26 This is the first book to provide an in-depth coverage of all the developments, issues and challenges in secure databases and applications. It provides directions for data and application security, including securing emerging applications such as bioinformatics, stream information processing and peer-to-peer computing. Divided into eight sections, |
| data management and privacy: APEC Privacy Framework , 2005 |
| data management and privacy: Non-Invasive Data Governance Robert S. Seiner, 2014-09-01 Data-governance programs focus on authority and accountability for the management of data as a valued organizational asset. Data Governance should not be about command-and-control, yet at times could become invasive or threatening to the work, people and culture of an organization. Non-Invasive Data Governance™ focuses on formalizing existing accountability for the management of data and improving formal communications, protection, and quality efforts through effective stewarding of data resources. Non-Invasive Data Governance will provide you with a complete set of tools to help you deliver a successful data governance program. Learn how: • Steward responsibilities can be identified and recognized, formalized, and engaged according to their existing responsibility rather than being assigned or handed to people as more work. • Governance of information can be applied to existing policies, standard operating procedures, practices, and methodologies, rather than being introduced or emphasized as new processes or methods. • Governance of information can support all data integration, risk management, business intelligence and master data management activities rather than imposing inconsistent rigor to these initiatives. • A practical and non-threatening approach can be applied to governing information and promoting stewardship of data as a cross-organization asset. • Best practices and key concepts of this non-threatening approach can be communicated effectively to leverage strengths and address opportunities to improve. |
| data management and privacy: Privacy-preserving Data Publishing Raymond Chi-Wing Wong, Ada Fu, 2010 Privacy preservation has become a major issue in many data analysis applications. When a data set is released to other parties for data analysis, privacy-preserving techniques are often required to reduce the possibility of identifying sensitive information about individuals. For example, in medical data, sensitive information can be the fact that a particular patient suffers from HIV. In spatial data, sensitive information can be a specific location of an individual. In web surfing data, the information that a user browses certain websites may be considered sensitive. Consider a dataset containing some sensitive information is to be released to the public. In order to protect sensitive information, the simplest solution is not to disclose the information. However, this would be an overkill since it will hinder the process of data analysis over the data from which we can find interesting patterns. Moreover, in some applications, the data must be disclosed under the government regulations. Alternatively, the data owner can first modify the data such that the modified data can guarantee privacy and, at the same time, the modified data retains sufficient utility and can be released to other parties safely. This process is usually called as privacy-preserving data publishing. In this monograph, we study how the data owner can modify the data and how the modified data can preserve privacy and protect sensitive information. Table of Contents: Introduction / Fundamental Concepts / One-Time Data Publishing / Multiple-Time Data Publishing / Graph Data / Other Data Types / Future Research Directions |
| data management and privacy: Data Matters National Academies of Sciences, Engineering, and Medicine, Policy and Global Affairs, Government-University-Industry Research Roundtable, Planning Committee for the Workshop on Ethics, Data, and International Research Collaboration in a Changing World, 2019-01-28 In an increasingly interconnected world, perhaps it should come as no surprise that international collaboration in science and technology research is growing at a remarkable rate. As science and technology capabilities grow around the world, U.S.-based organizations are finding that international collaborations and partnerships provide unique opportunities to enhance research and training. International research agreements can serve many purposes, but data are always involved in these collaborations. The kinds of data in play within international research agreements varies widely and may range from financial and consumer data, to Earth and space data, to population behavior and health data, to specific project-generated dataâ€this is just a narrow set of examples of research data but illustrates the breadth of possibilities. The uses of these data are various and require accounting for the effects of data access, use, and sharing on many different parties. Cultural, legal, policy, and technical concerns are also important determinants of what can be done in the realms of maintaining privacy, confidentiality, and security, and ethics is a lens through which the issues of data, data sharing, and research agreements can be viewed as well. A workshop held on March 14-16, 2018, in Washington, DC explored the changing opportunities and risks of data management and use across disciplinary domains. The third workshop in a series, participants gathered to examine advisory principles for consideration when developing international research agreements, in the pursuit of highlighting promising practices for sustaining and enabling international research collaborations at the highest ethical level possible. The intent of the workshop was to explore, through an ethical lens, the changing opportunities and risks associated with data management and use across disciplinary domainsâ€all within the context of international research agreements. This publication summarizes the presentations and discussions from the workshop. |
| data management and privacy: Privacy in the Age of Big Data Theresa Payton, Ted Claypoole, 2014-01-16 Digital devices have made our busy lives a little easier and they do great things for us, too – we get just-in-time coupons, directions, and connection with loved ones while stuck on an airplane runway. Yet, these devices, though we love them, can invade our privacy in ways we are not even aware of. The digital devices send and collect data about us whenever we use them, but that data is not always safeguarded the way we assume it should be to protect our privacy. Privacy is complex and personal. Many of us do not know the full extent to which data is collected, stored, aggregated, and used. As recent revelations indicate, we are subject to a level of data collection and surveillance never before imaginable. While some of these methods may, in fact, protect us and provide us with information and services we deem to be helpful and desired, others can turn out to be insidious and over-arching. Privacy in the Age of Big Data highlights the many positive outcomes of digital surveillance and data collection while also outlining those forms of data collection to which we do not always consent, and of which we are likely unaware, as well as the dangers inherent in such surveillance and tracking. Payton and Claypoole skillfully introduce readers to the many ways we are “watched” and how to change behaviors and activities to recapture and regain more of our privacy. The authors suggest remedies from tools, to behavior changes, to speaking out to politicians to request their privacy back. Anyone who uses digital devices for any reason will want to read this book for its clear and no-nonsense approach to the world of big data and what it means for all of us. |
| data management and privacy: Big Data Fei Hu, 2016-04-27 Although there are already some books published on Big Data, most of them only cover basic concepts and society impacts and ignore the internal implementation details-making them unsuitable to R&D people. To fill such a need, Big Data: Storage, Sharing, and Security examines Big Data management from an R&D perspective. It covers the 3S desi |
| data management and privacy: The Hidden Corporation David Schlesinger, 2011 Follow cybersecurity specialist Nancy MacBaron who fights in the corporate trenches against criminal hackers intent on stealing her company's sensitive information, yet discovers hidden data security gaps in her corporation while investigating a data theft. |
| data management and privacy: Privacy and Identity Management Michael Friedewald, Stefan Schiffner, Stephan Krenn, 2021-03-31 This book contains selected papers presented at the 15th IFIP WG 9.2, 9.6/11.7, 11.6/SIG 9.2.2 International Summer School on Privacy and Identity Management, held in Maribor, Slovenia, in September 2020.* The 13 full papers included in this volume were carefully reviewed and selected from 21 submissions. Also included is a summary paper of a tutorial. As in previous years, one of the goals of the IFIP Summer School was to encourage the publication of thorough research papers by students and emerging scholars. The papers combine interdisciplinary approaches to bring together a host of perspectives, such as technical, legal, regulatory, socio-economic, social or societal, political, ethical, anthropological, philosophical, or psychological perspectives. *The summer school was held virtually. |
| data management and privacy: Modern Data Protection W. Curtis Preston, 2021-04-29 Give your organization the data protection it deserves without the uncertainty and cost overruns experienced by your predecessors or other companies. System and network administrators have their work cut out for them to protect physical and virtual machines in the data center and the cloud; mobile devices including laptops and tablets; SaaS services like Microsoft 365, Google Workspace, and Salesforce; and persistent data created by Kubernetes and container workloads. To help you navigate the breadth and depth of this challenge, this book presents several solutions so you can determine which is right for your company. You'll learn the unique requirements that each workload presents, then explore various categories of commercial backup hardware, software, and services available to protect these data sources, including the advantages and disadvantages of each approach. Learn the workload types that your organization should be backing up Explore the hardware, software, and services you can use to back up your systems Understand what's wrong with your current data protection system Pair your backed-up workloads to the appropriate backup system Learn the adjustments that will make your backups better, without wasting money |
| data management and privacy: Privacy and Legal Issues in Cloud Computing Anne S. Y Cheung, Rolf H Weber, 2015-06-29 Adopting a multi-disciplinary and comparative approach, this book focuses on emerging and innovative attempts to tackle privacy and legal issues in cloud computing, such as personal data privacy, security and intellectual property protection. Leading i |
| data management and privacy: Big Data Management Peter Ghavami, 2020-11-09 Data analytics is core to business and decision making. The rapid increase in data volume, velocity and variety offers both opportunities and challenges. While open source solutions to store big data, like Hadoop, offer platforms for exploring value and insight from big data, they were not originally developed with data security and governance in mind. Big Data Management discusses numerous policies, strategies and recipes for managing big data. It addresses data security, privacy, controls and life cycle management offering modern principles and open source architectures for successful governance of big data. The author has collected best practices from the world’s leading organizations that have successfully implemented big data platforms. The topics discussed cover the entire data management life cycle, data quality, data stewardship, regulatory considerations, data council, architectural and operational models are presented for successful management of big data. The book is a must-read for data scientists, data engineers and corporate leaders who are implementing big data platforms in their organizations. |
| data management and privacy: Data Governance: The Definitive Guide Evren Eryurek, Uri Gilad, Valliappa Lakshmanan, Anita Kibunguchy-Grant, Jessi Ashdown, 2021-03-08 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. |
| data management and privacy: Data Governance and Data Management Rupa Mahanti, 2021-09-08 This book delves into the concept of data as a critical enterprise asset needed for informed decision making, compliance, regulatory reporting and insights into trends, behaviors, performance and patterns. With good data being key to staying ahead in a competitive market, enterprises capture and store exponential volumes of data. Considering the business impact of data, there needs to be adequate management around it to derive the best value. Data governance is one of the core data management related functions. However, it is often overlooked, misunderstood or confused with other terminologies and data management functions. Given the pervasiveness of data and the importance of data, this book provides comprehensive understanding of the business drivers for data governance and benefits of data governance, the interactions of data governance function with other data management functions and various components and aspects of data governance that can be facilitated by technology and tools, the distinction between data management tools and data governance tools, the readiness checks to perform before exploring the market to purchase a data governance tool, the different aspects that must be considered when comparing and selecting the appropriate data governance technologies and tools from large number of options available in the marketplace and the different market players that provide tools for supporting data governance. This book combines the data and data governance knowledge that the author has gained over years of working in different industrial and research programs and projects associated with data, processes and technologies with unique perspectives gained through interviews with thought leaders and data experts. This book is highly beneficial for IT students, academicians, information management and business professionals and researchers to enhance their knowledge and get guidance on implementing data governance in their own data initiatives. |
| data management and privacy: Beyond the HIPAA Privacy Rule Institute of Medicine, Board on Health Care Services, Board on Health Sciences Policy, Committee on Health Research and the Privacy of Health Information: The HIPAA Privacy Rule, 2009-03-24 In the realm of health care, privacy protections are needed to preserve patients' dignity and prevent possible harms. Ten years ago, to address these concerns as well as set guidelines for ethical health research, Congress called for a set of federal standards now known as the HIPAA Privacy Rule. In its 2009 report, Beyond the HIPAA Privacy Rule: Enhancing Privacy, Improving Health Through Research, the Institute of Medicine's Committee on Health Research and the Privacy of Health Information concludes that the HIPAA Privacy Rule does not protect privacy as well as it should, and that it impedes important health research. |
| data management and privacy: Why Privacy Matters Neil Richards, 2021 This is a book about what privacy is and why it matters. Governments and companies keep telling us that Privacy is Dead, but they are wrong. Privacy is about more than just whether our information is collected. It's about human and social power in our digital society. And in that society, that's pretty much everything we do, from GPS mapping to texting to voting to treating disease. We need to realize that privacy is up for grabs, and we need to craft rules to protect our hard-won, but fragile human values like identity, freedom, consumer protection, and trust. |
| data management and privacy: Introduction to Privacy-Preserving Data Publishing Benjamin C.M. Fung, Ke Wang, Ada Wai-Chee Fu, Philip S. Yu, 2010-08-02 Gaining access to high-quality data is a vital necessity in knowledge-based decision making. But data in its raw form often contains sensitive information about individuals. Providing solutions to this problem, the methods and tools of privacy-preserving data publishing enable the publication of useful information while protecting data privacy. Int |
| data management and privacy: Access Control in Data Management Systems Elena Ferrari, 2010 This book provides an overview of the various developments in access control for data management systems. Discretionary, mandatory, and role-based access control will be discussed, by surveying the most relevant proposals and analyzing the benefits and drawbacks of each paradigm in view of the requirements of different application domains. Access control mechanisms provided by commercial Data Management Systems are presented and discussed. Finally, the last part of the book is devoted to discussion of some of the most challenging and innovative research trends in the area of access control, such as those related to the Web 2.0 revolution or to the Database as a Service paradigm. -- |
| data management and privacy: Privacy-Preserving Data Publishing Bee-Chung Chen, Daniel Kifer, Ashwin Machanavajjhala, Kristen LeFevre, 2009-10-14 This book is dedicated to those who have something to hide. It is a book about privacy preserving data publishing -- the art of publishing sensitive personal data, collected from a group of individuals, in a form that does not violate their privacy. This problem has numerous and diverse areas of application, including releasing Census data, search logs, medical records, and interactions on a social network. The purpose of this book is to provide a detailed overview of the current state of the art as well as open challenges, focusing particular attention on four key themes: RIGOROUS PRIVACY POLICIES Repeated and highly-publicized attacks on published data have demonstrated that simplistic approaches to data publishing do not work. Significant recent advances have exposed the shortcomings of naive (and not-so-naive) techniques. They have also led to the development of mathematically rigorous definitions of privacy that publishing techniques must satisfy; METRICS FOR DATA UTILITY While it is necessary to enforce stringent privacy policies, it is equally important to ensure that the published version of the data is useful for its intended purpose. The authors provide an overview of diverse approaches to measuring data utility; ENFORCEMENT MECHANISMS This book describes in detail various key data publishing mechanisms that guarantee privacy and utility; EMERGING APPLICATIONS The problem of privacy-preserving data publishing arises in diverse application domains with unique privacy and utility requirements. The authors elaborate on the merits and limitations of existing solutions, based on which we expect to see many advances in years to come. |
| data management and privacy: DAMA-DMBOK Dama International, 2017 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. |
| data management and privacy: Data Management at Scale Piethein Strengholt, 2020-07-29 As data management and integration continue to evolve rapidly, storing all your data in one place, such as a data warehouse, is no longer scalable. In the very near future, data will need to be distributed and available for several technological solutions. With this practical book, you’ll learnhow to migrate your enterprise from a complex and tightly coupled data landscape to a more flexible architecture ready for the modern world of data consumption. Executives, data architects, analytics teams, and compliance and governance staff will learn how to build a modern scalable data landscape using the Scaled Architecture, which you can introduce incrementally without a large upfront investment. Author Piethein Strengholt provides blueprints, principles, observations, best practices, and patterns to get you up to speed. Examine data management trends, including technological developments, regulatory requirements, and privacy concerns Go deep into the Scaled Architecture and learn how the pieces fit together Explore data governance and data security, master data management, self-service data marketplaces, and the importance of metadata |
| data management and privacy: DPO Handbook - Data Protection Officers Under the GDPR Thomas Shaw, 2018-03 |
| data management and privacy: Privacy and Security Issues in Big Data Pradip Kumar Das, Hrudaya Kumar Tripathy, Shafiz Affendi Mohd Yusof, 2021-04-23 This book focuses on privacy and security concerns in big data and differentiates between privacy and security and privacy requirements in big data. It focuses on the results obtained after applying a systematic mapping study and implementation of security in the big data for utilizing in business under the establishment of “Business Intelligence”. The chapters start with the definition of big data, discussions why security is used in business infrastructure and how the security can be improved. In this book, some of the data security and data protection techniques are focused and it presents the challenges and suggestions to meet the requirements of computing, communication and storage capabilities for data mining and analytics applications with large aggregate data in business. |
| data management and privacy: Descriptive Translation Studies and Beyond Gideon Toury, 1995 A replacement of the author's well-known book on Translation Theory, In Search of a Theory of Translation (1980), this book makes a case for Descriptive Translation Studies as a scholarly activity as well as a branch of the discipline, having immediate consequences for issues of both a theoretical and applied nature. Methodological discussions are complemented by an assortment of case studies of various scopes and levels, with emphasis on the need to contextualize whatever one sets out to focus on.Part One deals with the position of descriptive studies within TS and justifies the author's choice to devote a whole book to the subject. Part Two gives a detailed rationale for descriptive studies in translation and serves as a framework for the case studies comprising Part Three. Concrete descriptive issues are here tackled within ever growing contexts of a higher level: texts and modes of translational behaviour in the appropriate cultural setup; textual components in texts, and through these texts, in cultural constellations. Part Four asks the question: What is knowledge accumulated through descriptive studies performed within one and the same framework likely to yield in terms of theory and practice?This is an excellent book for higher-level translation courses. |
| data management and privacy: Protecting Data Privacy in Health Services Research Institute of Medicine, Division of Health Care Services, Committee on the Role of Institutional Review Boards in Health Services Research Data Privacy Protection, 2001-01-13 The need for quality improvement and for cost saving are driving both individual choices and health system dynamics. The health services research that we need to support informed choices depends on access to data, but at the same time, individual privacy and patient-health care provider confidentiality must be protected. |
Privacy Management Framework (PMF)
updated this PMF document in 2020. Members of this task force brought subject matter expertise in data privacy and recognized changes to international and U.S. privacy requirements and …
Data privacy as a strategic priority - Deloitte United States
Companies today face increasing pressure from regulators and the marketplace to improve how they collect, use, store and delete personal information (PI), and how they manage data privacy.
DISA Data Governance Bylaws & Guidelines
Apr 30, 2025 · 2.10 Data Management Plan . The DISA Data Management Plan (DMP) is a formal document or framework that outlines how data will be handled throughout its lifecycle—from …
NIST Privacy Framework: A Tool for Improving Privacy through …
Jan 16, 2020 · Privacy Framework: A Tool for Improving Privacy through Enterprise Risk Management (Privacy Framework), to enable better privacy engineering practices that support …
Data management, privacy, and security in connected systems
How do you protect the enormous and growing range of invaluable digital assets—including company-confidential data, city infrastructure, information on private individuals, transactional …
A Practical Guide: Establishing a Privacy and Data Protection …
Privacy is a fundamental human right and defined as the right of any individual to control their own personal information while data protection is the process of safeguarding personal information …
Informatica Data Privacy Management
Informatica® Data Privacy Management helps you discover, classify, analyze, protect and monitor personal and sensitive data across your organization. It leverages artificial intelligence (AI) to …
DATA MANAGEMENT, PRIVACY, AND SECURITY
Security and privacy are not separate from activities or stages of data management. They are a part of every decision you make from the moment you start thinking about collecting data, to …
Identifying and Managing Privacy Risks - ServiceNow
ServiceNow Privacy Management enables privacy by design. Organizations can now improve visibility into where personal information and data live across the enterprise, stay on top of …
PERSONAL DATA PROTECTION AND PRIVACY PRINCIPLES
Purpose: These principles (the “Principles”) set out a basic framework for the processing of “personal data”, which is defined as information relating to an identified or identifiable natural...
DATA PRIVACY, ETHICS AND PROTECTION GUIDANCE NOTE …
This document sets out general guidance on data privacy, data protection and data ethics for the United Nations Development Group (UNDG) concerning the use of big data, collected in real...
Current trends Desiredoutcomes - Deloitte United States
Data Protection & Privacy. We’ll assist you with data discovery, data posture management, cloud data protection and data loss prevention, consent and preference management, and cookie …
NIST Privacy Framework CORE - National Institute of …
May 5, 2021 · communicating data processing purposes, practices, associated privacy risks, and options for enabling individuals’ data processing preferences and requests are established and …
The Keys to Data Protection - Privacy International
Protecting privacy is essential, and the majority of States have adopted some forms of protection; however, frameworks are often inadequate, and have not kept up with modern uses of data …
Data Security and Management Training: Best Practices
PTAC provides timely information and updated guidance through a variety of resources, including training materials and opportunities to receive direct assistance with privacy, security, and …
Data Governance and Privacy by Design: Guidelines for a …
Data security is about data control, and since the 1960’s the model of data security has been the C-I-A triad: Confidentiality (prevent unauthorized access); Integrity (prevent unauthorized and …
Data Security and Privacy - Components to Data Management …
Your data management plan should address the following security and privacy considerations: encryption, authentication, user access, data storage, data transport, and data destruction.
PRIVACY AND DATA PROTECTION - The Institute of Internal …
As noted in Part 1 of this series, privacy and data protection have become critical areas of concern for all types of organizations – large and small, public and private, commercial and not …
Data privacy in the age of big data analytics - IACIS
To present privacy in the big data context, the authors begin this paper by providing a literature review. The literature review will set the context and provide definitions associated with data …
Data Protection & Privacy
Data Protection & Privacy. We’ll assist you with data discovery, collection, processing, sharing, protection, archiving, and deletion. Deloitte enables data privacy and protection across the …
Data Privacy Handbook - PwC
We’ve put together this Data Privacy Handbook to try to simplify the requirements and help you kick-start your data privacy compliance journey. The toolkit contains useful information and …
Privacy Management Framework (PMF)
updated this PMF document in 2020. Members of this task force brought subject matter expertise in data privacy and recognized changes to international and U.S. privacy requirements and …
Data privacy as a strategic priority - Deloitte United States
Companies today face increasing pressure from regulators and the marketplace to improve how they collect, use, store and delete personal information (PI), and how they manage data privacy.
DISA Data Governance Bylaws & Guidelines
Apr 30, 2025 · 2.10 Data Management Plan . The DISA Data Management Plan (DMP) is a formal document or framework that outlines how data will be handled throughout its lifecycle—from …
NIST Privacy Framework: A Tool for Improving Privacy …
Jan 16, 2020 · Privacy Framework: A Tool for Improving Privacy through Enterprise Risk Management (Privacy Framework), to enable better privacy engineering practices that support …
Data management, privacy, and security in connected systems
How do you protect the enormous and growing range of invaluable digital assets—including company-confidential data, city infrastructure, information on private individuals, transactional …
A Practical Guide: Establishing a Privacy and Data …
Privacy is a fundamental human right and defined as the right of any individual to control their own personal information while data protection is the process of safeguarding personal information …
Informatica Data Privacy Management
Informatica® Data Privacy Management helps you discover, classify, analyze, protect and monitor personal and sensitive data across your organization. It leverages artificial intelligence (AI) to …
DATA MANAGEMENT, PRIVACY, AND SECURITY
Security and privacy are not separate from activities or stages of data management. They are a part of every decision you make from the moment you start thinking about collecting data, to …
Identifying and Managing Privacy Risks - ServiceNow
ServiceNow Privacy Management enables privacy by design. Organizations can now improve visibility into where personal information and data live across the enterprise, stay on top of …
PERSONAL DATA PROTECTION AND PRIVACY …
Purpose: These principles (the “Principles”) set out a basic framework for the processing of “personal data”, which is defined as information relating to an identified or identifiable natural...
DATA PRIVACY, ETHICS AND PROTECTION GUIDANCE …
This document sets out general guidance on data privacy, data protection and data ethics for the United Nations Development Group (UNDG) concerning the use of big data, collected in real...
Current trends Desiredoutcomes - Deloitte United States
Data Protection & Privacy. We’ll assist you with data discovery, data posture management, cloud data protection and data loss prevention, consent and preference management, and cookie …
NIST Privacy Framework CORE - National Institute of …
May 5, 2021 · communicating data processing purposes, practices, associated privacy risks, and options for enabling individuals’ data processing preferences and requests are established and …
The Keys to Data Protection - Privacy International
Protecting privacy is essential, and the majority of States have adopted some forms of protection; however, frameworks are often inadequate, and have not kept up with modern uses of data …
Data Security and Management Training: Best Practices
PTAC provides timely information and updated guidance through a variety of resources, including training materials and opportunities to receive direct assistance with privacy, security, and …
Data Governance and Privacy by Design: Guidelines for a …
Data security is about data control, and since the 1960’s the model of data security has been the C-I-A triad: Confidentiality (prevent unauthorized access); Integrity (prevent unauthorized and …
Data Security and Privacy - Components to Data …
Your data management plan should address the following security and privacy considerations: encryption, authentication, user access, data storage, data transport, and data destruction.
PRIVACY AND DATA PROTECTION - The Institute of …
As noted in Part 1 of this series, privacy and data protection have become critical areas of concern for all types of organizations – large and small, public and private, commercial and not-for-profit.
Data privacy in the age of big data analytics - IACIS
To present privacy in the big data context, the authors begin this paper by providing a literature review. The literature review will set the context and provide definitions associated with data …
Data Protection & Privacy
Data Protection & Privacy. We’ll assist you with data discovery, collection, processing, sharing, protection, archiving, and deletion. Deloitte enables data privacy and protection across the …
