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• Author : David Plotkin
• Publisher :Unknown
• Release Date :2013-09-16
• Total pages :248
• ISBN : 9780124104457

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Summary : Data stewards in business and IT are the backbone of a successful data governance implementation because they do the work to make a company’s data trusted, dependable, and high quality. Data Stewardship explains everything you need to know to successfully implement the stewardship portion of data governance, including how to organize, train, and work with data stewards, get high-quality business definitions and other metadata, and perform the day-to-day tasks using a minimum of the steward’s time and effort. David Plotkin has loaded this book with practical advice on stewardship so you can get right to work, have early successes, and measure and communicate those successes, gaining more support for this critical effort. Provides clear and concise practical advice on implementing and running data stewardship, including guidelines on how to organize based on company structure, business functions, and data ownership Shows how to gain support for your stewardship effort, maintain that support over the long-term, and measure the success of the data stewardship effort and report back to management Includes detailed lists of responsibilities for each type of data steward and strategies to help the Data Governance Program Office work effectively with the data stewards

• Author : David Plotkin
• Publisher :Unknown
• Release Date :2013-09-26
• Total pages :223
• ISBN : 0124103898

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Summary : Data stewards in business and IT are the backbone of a successful data governance implementation because they do the work to make a company's data trusted, dependable, and high quality. Data Stewardship explains everything you need to know to successfully implement the stewardship portion of data governance, including how to organize, train, and work with data stewards, get high-quality business definitions and other metadata, and perform the day-to-day tasks using a minimum of the steward's time and effort. David Plotkin has loaded this book with practical advice on stewardship so you can get right to work, have early successes, and measure and communicate those successes, gaining more support for this critical effort. Provides clear and concise practical advice on implementing and running data stewardship, including guidelines on how to organize based on company structure, business functions, and data ownership Shows how to gain support for your stewardship effort, maintain that support over the long-term, and measure the success of the data stewardship effort and report back to management Includes detailed lists of responsibilities for each type of data steward and strategies to help the Data Governance Program Office work effectively with the data stewards

• Author : Barend Mons
• Publisher :Unknown
• Release Date :2018-03-09
• Total pages :226
• ISBN : 9781315351148

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Summary : Data Stewardship for Open Science: Implementing FAIR Principles has been written with the intention of making scientists, funders, and innovators in all disciplines and stages of their professional activities broadly aware of the need, complexity, and challenges associated with open science, modern science communication, and data stewardship. The FAIR principles are used as a guide throughout the text, and this book should leave experimentalists consciously incompetent about data stewardship and motivated to respect data stewards as representatives of a new profession, while possibly motivating others to consider a career in the field. The ebook, avalable for no additional cost when you buy the paperback, will be updated every 6 months on average (providing that significant updates are needed or avaialble). Readers will have the opportunity to contribute material towards these updates, and to develop their own data management plans, via the free Data Stewardship Wizard.

• Author : Pieter Kubben,Michel Dumontier,Andre Dekker
• Publisher :Unknown
• Release Date :2018-12-21
• Total pages :219
• ISBN : 9783319997131

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Summary : This open access book comprehensively covers the fundamentals of clinical data science, focusing on data collection, modelling and clinical applications. Topics covered in the first section on data collection include: data sources, data at scale (big data), data stewardship (FAIR data) and related privacy concerns. Aspects of predictive modelling using techniques such as classification, regression or clustering, and prediction model validation will be covered in the second section. The third section covers aspects of (mobile) clinical decision support systems, operational excellence and value-based healthcare. Fundamentals of Clinical Data Science is an essential resource for healthcare professionals and IT consultants intending to develop and refine their skills in personalized medicine, using solutions based on large datasets from electronic health records or telemonitoring programmes. The book’s promise is “no math, no code”and will explain the topics in a style that is optimized for a healthcare audience.

• Author : Institute of Medicine,National Academy of Engineering,National Academy of Sciences,Committee on Science, Engineering, and Public Policy,Committee on Ensuring the Utility and Integrity of Research Data in a Digital Age
• Publisher :Unknown
• Release Date :2009-12-17
• Total pages :178
• ISBN : 9780309136846

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Summary : As digital technologies are expanding the power and reach of research, they are also raising complex issues. These include complications in ensuring the validity of research data; standards that do not keep pace with the high rate of innovation; restrictions on data sharing that reduce the ability of researchers to verify results and build on previous research; and huge increases in the amount of data being generated, creating severe challenges in preserving that data for long-term use. Ensuring the Integrity, Accessibility, and Stewardship of Research Data in the Digital Age examines the consequences of the changes affecting research data with respect to three issues - integrity, accessibility, and stewardship-and finds a need for a new approach to the design and the management of research projects. The report recommends that all researchers receive appropriate training in the management of research data, and calls on researchers to make all research data, methods, and other information underlying results publicly accessible in a timely manner. The book also sees the stewardship of research data as a critical long-term task for the research enterprise and its stakeholders. Individual researchers, research institutions, research sponsors, professional societies, and journals involved in scientific, engineering, and medical research will find this book an essential guide to the principles affecting research data in the digital age.

• Author : Robert S. Seiner
• Publisher :Unknown
• Release Date :2014-09-01
• Total pages :148
• ISBN : 9781634620451

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Summary : 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.

• Author : Mark Allen,Dalton Cervo
• Publisher :Unknown
• Release Date :2015-03-21
• Total pages :244
• ISBN : 9780128011478

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Summary : Multi-Domain Master Data Management delivers practical guidance and specific instruction to help guide planners and practitioners through the challenges of a multi-domain master data management (MDM) implementation. Authors Mark Allen and Dalton Cervo bring their expertise to you in the only reference you need to help your organization take master data management to the next level by incorporating it across multiple domains. Written in a business friendly style with sufficient program planning guidance, this book covers a comprehensive set of topics and advanced strategies centered on the key MDM disciplines of Data Governance, Data Stewardship, Data Quality Management, Metadata Management, and Data Integration. Provides a logical order toward planning, implementation, and ongoing management of multi-domain MDM from a program manager and data steward perspective. Provides detailed guidance, examples and illustrations for MDM practitioners to apply these insights to their strategies, plans, and processes. Covers advanced MDM strategy and instruction aimed at improving data quality management, lowering data maintenance costs, and reducing corporate risks by applying consistent enterprise-wide practices for the management and control of master data.

• Author : David Marco,Michael Jennings
• Publisher :Unknown
• Release Date :2004-03-25
• Total pages :478
• ISBN : 9780764571596

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Summary : The heart of the book provides the complete set of models thatwill support most of an organization's core business functions,including universal meta models for enterprise-wide systems,business meta data and data stewardship, portfolio management,business rules, and XML, messaging, and transactions Developers can directly adapt these models to their ownbusinesses, saving countless hours of development time Building effective meta data repositories is complicated andtime-consuming, and few IT departments have the necessary expertiseto do it right-which is why this book is sure to find a readyaudience Begins with a quick overview of the Meta Data RepositoryEnvironment and the business uses of meta data, then goes on todescribe the technical architecture followed by the detailedmodels

• Author : John Ladley
• Publisher :Unknown
• Release Date :2019-11-08
• Total pages :350
• ISBN : 9780128158326

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Summary : Managing data continues to grow as a necessity for modern organizations. There are seemingly infinite opportunities for organic growth, reduction of costs, and creation of new products and services. It has become apparent that none of these opportunities can happen smoothly without data governance. The cost of exponential data growth and privacy / security concerns are becoming burdensome. Organizations will encounter unexpected consequences in new sources of risk. The solution to these challenges is also data governance; ensuring balance between risk and opportunity. Data Governance, Second Edition, is for any executive, manager or data professional who needs to understand or implement a data governance program. It is required to ensure consistent, accurate and reliable data across their organization. This book offers an overview of why data governance is needed, how to design, initiate, and execute a program and how to keep the program sustainable. This valuable resource provides comprehensive guidance to beginning professionals, managers or analysts looking to improve their processes, and advanced students in Data Management and related courses. With the provided framework and case studies all professionals in the data governance field will gain key insights into launching successful and money-saving data governance program. Incorporates industry changes, lessons learned and new approaches Explores various ways in which data analysts and managers can ensure consistent, accurate and reliable data across their organizations Includes new case studies which detail real-world situations Explores all of the capabilities an organization must adopt to become data driven Provides guidance on various approaches to data governance, to determine whether an organization should be low profile, central controlled, agile, or traditional Provides guidance on using technology and separating vendor hype from sincere delivery of necessary capabilities Offers readers insights into how their organizations can improve the value of their data, through data quality, data strategy and data literacy Provides up to 75% brand-new content compared to the first edition

• Author : Susan Earley
• Publisher :Unknown
• Release Date :2010-01-01
• Total pages :406
• ISBN : 1935504029

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Summary : Written by over 120 data management practitioners, this is the most impressive compilation of data management principals and best practices, ever assembled. It provides data management and IT professionals, executives, knowledge workers, educators, and researchers with a framework to manage their data and mature their information infrastructure. The equivalent of the PMBOK or the BABOK, the DAMA-DMBOK provides information on: Data Governance; Data Architecture Management; Data Development; Database Operations Management; Data Security Management; Reference & Master Data Management; Data Warehousing & Business Intelligence Management; Document & Content Management; Meta Data Management; Data Quality Management; Professional Development. As an authoritative introduction to data management, the goals of the DAMA-DMBOK Guide are: To build consensus for a generally applicable view of data management functions; To provide standard definitions for commonly used data management functions, deliverables, roles, and other terminology; To document guiding principles for data management; To present a vendor-neutral overview to commonly accepted good practices, widely adopted methods and techniques, and significant alternative approaches; To clarify the scope and boundaries of data management; To act as a reference which guides readers to additional resources for further understanding.

• Author : Christine L. Borgman
• Publisher :Unknown
• Release Date :2016-09-16
• Total pages :383
• ISBN : 9780262529914

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Summary : Despite the media hyperbole, as Borgman points out in this examination of data and scholarly research, having the right data is usually better than having more data; little data can be just as valuable as big data. In many cases, there are no data -- because relevant data don't exist, cannot be found, or are not available. Moreover, data sharing is difficult, incentives to do so are minimal, and data practices vary widely across disciplines. She argues that data have no value or meaning in isolation; they exist within a knowledge infrastructure -- an ecology of people, practices, technologies, institutions, material objects, and relationships. Borgman offers case studies of data practices in the sciences, the social sciences, and the humanities, and then considers the implications of her findings for scholarly practice and research policy. --

• Author : David Loshin
• Publisher :Unknown
• Release Date :2010-11-22
• Total pages :432
• ISBN : 0080920349

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Summary : The Practitioner's Guide to Data Quality Improvement offers a comprehensive look at data quality for business and IT, encompassing people, process, and technology. It shares the fundamentals for understanding the impacts of poor data quality, and guides practitioners and managers alike in socializing, gaining sponsorship for, planning, and establishing a data quality program. It demonstrates how to institute and run a data quality program, from first thoughts and justifications to maintenance and ongoing metrics. It includes an in-depth look at the use of data quality tools, including business case templates, and tools for analysis, reporting, and strategic planning. This book is recommended for data management practitioners, including database analysts, information analysts, data administrators, data architects, enterprise architects, data warehouse engineers, and systems analysts, and their managers. Offers a comprehensive look at data quality for business and IT, encompassing people, process, and technology. Shows how to institute and run a data quality program, from first thoughts and justifications to maintenance and ongoing metrics. Includes an in-depth look at the use of data quality tools, including business case templates, and tools for analysis, reporting, and strategic planning.

• Author : Dana R. Fisher,Erika S. Svendsen,James Connolly
• Publisher :Unknown
• Release Date :2015-02-11
• Total pages :148
• ISBN : 9781317934158

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Summary : Once considered the antithesis of a verdant and vibrant ecosystem, cities are now being hailed as highly efficient and complex social ecological systems. Emerging from the streets of the post-industrial city are well-tended community gardens, rooftop farms and other viable habitats capable of supporting native flora and fauna. At the forefront of this transformation are the citizens living in the cities themselves. As people around the world increasingly relocate to urban areas, this book discusses how they engage in urban stewardship and what civic participation in the environment means for democracy. Drawing on data collected through a two-year study of volunteer stewards who planted trees as part of the MillionTreesNYC initiative in the United States, this book examines how projects like this can make a difference to the social fabric of a city. It analyses quantitative survey data along with qualitative interview data that enables the volunteers to share their personal stories and motivations for participating, revealing the strong link between environmental stewardship and civic engagement. As city governments in developed countries are investing more and more in green infrastructure campaigns to change the urban landscape, this book sheds light on the social importance of these initiatives and shows how individuals’ efforts to reshape their cities serve to strengthen democracy. It draws out lessons that are highly applicable to global cities and policies on sustainability and civic engagement.

• Author : Amanda Wakaruk,Sam-chin Li
• Publisher :Unknown
• Release Date :2019-04-10
• Total pages :376
• ISBN : 9781772124064

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Summary : A critical analysis of Canadian government information publishing--essential reading for librarians, archivists, and researchers.

• Author : Chuck Ballard,Trey Anderson,Dr. Lawrence Dubov,Alex Eastman,Jay Limburn,Umasuthan Ramakrishnan,IBM Redbooks
• Publisher :Unknown
• Release Date :2013-03-08
• Total pages :212
• ISBN : 9780738437743

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Summary : An enterprise can gain differentiating value by aligning its master data management (MDM) and business process management (BPM) projects. This way, organizations can optimize their business performance through agile processes that empower decision makers with the trusted, single version of information. Many companies deploy MDM strategies as assurances that enterprise master data can be trusted and used in the business processes. IBM® InfoSphere® Master Data Management creates trusted views of data assets and elevates the effectiveness of an organization's most important business processes and applications. This IBM Redbooks® publication provides an overview of MDM and BPM. It examines how you can align them to enable trusted and accurate information to be used by business processes to optimize business performance and bring more agility to data stewardship. It also provides beginning guidance on these patterns and where cross-training efforts might focus. This book is written for MDM or BPM architects and MDM and BPM architects. By reading this book, MDM or BPM architects can understand how to scope joint projects or to provide reasonable estimates of the effort. BPM developers (or MDM developers with BPM training) can learn how to design and build MDM creation and consumption use cases by using the MDM Toolkit for BPM. They can also learn how to import data governance samples and extend them to enable collaborative stewardship of master data.

• Author : David Plotkin
• Publisher :Unknown
• Release Date :2020-10-31
• Total pages :322
• ISBN : 9780128221679

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Summary : Data stewards in any organization are the backbone of a successful data governance implementation because they do the work to make data trusted, dependable, and high quality. Since the publication of the first edition, there have been critical new developments in the field, such as integrating Data Stewardship into project management, handling Data Stewardship in large international companies, handling "big data" and Data Lakes, and a pivot in the overall thinking around the best way to align data stewardship to the data—moving from business/organizational function to data domain. Furthermore, the role of process in data stewardship is now recognized as key and needed to be covered. Data Stewardship, Second Edition provides clear and concise practical advice on implementing and running data stewardship, including guidelines on how to organize based on organizational/company structure, business functions, and data ownership. The book shows data managers how to gain support for a stewardship effort, maintain that support over the long-term, and measure the success of the data stewardship effort. It includes detailed lists of responsibilities for each type of data steward and strategies to help the Data Governance Program Office work effectively with the data stewards. Includes an enhanced section on data governance/stewardship structure for companies that do business internationally, including the structure of business terms to account for country differences Outlines the advantages and disadvantages of "data domains," details on suggested data domains and data domain structures, as well as data governance by data domains Integrates data governance into Project methodology, defining roles on a project, adding Data Governance tasks to the Work Breakdown Structure, as well as advantages of working closely with the Project management Office Covers the data stewardship involved in implementing national and international data privacy regulations

• Author : Neera Bhansali
• Publisher :Unknown
• Release Date :2013-06-17
• Total pages :268
• ISBN : 9781439879146

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Summary : As organizations deploy business intelligence and analytic systems to harness business value from their data assets, data governance programs are quickly gaining prominence. And, although data management issues have traditionally been addressed by IT departments, organizational issues critical to successful data management require the implementation of enterprise-wide accountabilities and responsibilities. Data Governance: Creating Value from Information Assets examines the processes of using data governance to manage data effectively. Addressing the complete life cycle of effective data governance—from metadata management to privacy and compliance—it provides business managers, IT professionals, and students with an integrated approach to designing, developing, and sustaining an effective data governance strategy. Explains how to align data governance with business goals Describes how to build successful data stewardship with a governance framework Outlines strategies for integrating IT and data governance frameworks Supplies business-driven and technical perspectives on data quality management, metadata management, data access and security, and data lifecycle The book summarizes the experiences of global experts in the field and addresses critical areas of interest to the information systems and management community. Case studies from healthcare and financial sectors, two industries that have successfully leveraged the potential of data-driven strategies, provide further insights into real-time practice. Facilitating a comprehensive understanding of data governance, the book addresses the burning issue of aligning data assets to both IT assets and organizational strategic goals. With a focus on the organizational, operational, and strategic aspects of data governance, the text provides you with the understanding required to leverage, derive, and sustain maximum value from the informational assets housed in your IT infrastructure.

• Author : Steve Sarsfield
• Publisher :Unknown
• Release Date :2009-04-23
• Total pages :161
• ISBN : 9781849280136

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Summary : This practical book covers both strategies and tactics around managing a data governance initiative to help make the most of your data.

• Author : Peter Block
• Publisher :Unknown
• Release Date :1996
• Total pages :264
• ISBN : 1881052869

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Summary : Goes beyond the spirit of empowerment to discuss the benefits of companies that offer equity and partnership for its employees at all levels, discussing what stewardship means, management accountability, quality control, and human resources. Reprint. 30,000 first printing. $40,000 ad/promo. IP.

• Author : Edward S. Dove
• Publisher :Unknown
• Release Date :2020-02-28
• Total pages :232
• ISBN : 9781788975353

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Summary : This timely book examines the interaction of health research and regulation with law through empirical analysis and the application of key anthropological concepts to reveal the inner workings of human health research. Through ground-breaking empirical inquiry, Regulatory Stewardship of Health Research explores how research ethics committees (RECs) work in practice to both protect research participants and promote ethical research. This thought-provoking book provides a new perspective on the regulation of health research by demonstrating how RECs and other regulatory actors seek to fulfil these two functions by performing a role of ‘regulatory stewardship’.

• Author : Jill Dyché,Evan Levy
• Publisher :Unknown
• Release Date :2011-01-31
• Total pages :320
• ISBN : 9781118046470

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Summary : "Customers are the heart of any business. But we can't succeed if we develop only one talk addressed to the 'average customer.' Instead we must know each customer and build our individual engagements with that knowledge. If Customer Relationship Management (CRM) is going to work, it calls for skills in Customer Data Integration (CDI). This is the best book that I have seen on the subject. Jill Dyché is to be complimented for her thoroughness in interviewing executives and presenting CDI." -Philip Kotler, S. C. Johnson Distinguished Professor of International Marketing Kellogg School of Management, Northwestern University "In this world of killer competition, hanging on to existing customers is critical to survival. Jill Dyché's new book makes that job a lot easier than it has been." -Jack Trout, author, Differentiate or Die "Jill and Evan have not only written the definitive work on Customer Data Integration, they've made the business case for it. This book offers sound advice to business people in search of innovative ways to bring data together about customers-their most important asset-while at the same time giving IT some practical tips for implementing CDI and MDM the right way." -Wayne Eckerson, The Data Warehousing Institute author of Performance Dashboards: Measuring, Monitoring, and Managing Your Business Whatever business you're in, you're ultimately in the customer business. No matter what your product, customers pay the bills. But the strategic importance of customer relationships hasn't brought companies much closer to a single, authoritative view of their customers. Written from both business and technicalperspectives, Customer Data Integration shows companies how to deliver an accurate, holistic, and long-term understanding of their customers through CDI.