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| data governance assessment questionnaire: 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 governance assessment questionnaire: Data Governance Complete Self-Assessment Guide Gerardus Blokdyk, 2017-05-12 Does the Data Governance performance meet the customer's requirements? What type of data governance is right for your organization? What can happen without data governance? Has the Data Governance work been fairly and/or equitably divided and delegated among team members who are qualified and capable to perform the work? Has everyone contributed? Why have a data governance plan? Defining, designing, creating, and implementing a process to solve a business challenge or meet a business objective is the most valuable role... In EVERY company, organization and department. Unless you are talking a one-time, single-use project within a business, there should be a process. Whether that process is managed and implemented by humans, AI, or a combination of the two, it needs to be designed by someone with a complex enough perspective to ask the right questions. Someone capable of asking the right questions and step back and say, 'What are we really trying to accomplish here? And is there a different way to look at it?' For more than twenty years, The Art of Service's Self-Assessments empower people who can do just that - whether their title is marketer, entrepreneur, manager, salesperson, consultant, business process manager, executive assistant, IT Manager, CIO etc... - they are the people who rule the future. They are people who watch the process as it happens, and ask the right questions to make the process work better. This book is for managers, advisors, consultants, specialists, professionals and anyone interested in Data Governance assessment. Featuring 582 new and updated case-based questions, divided into seven core areas of process design, this Self-Assessment will help you identify areas in which Data Governance improvements can be made. In using the questions you will be better able to: - diagnose Data Governance projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices - implement evidence-based best practice strategies aligned with overall goals - integrate recent advances in Data Governance and process design strategies into practice according to best practice guidelines Using a Self-Assessment tool known as the Data Governance Index, you will develop a clear picture of which Data Governance areas need attention. Included with your purchase of the book is the Data Governance Self-Assessment downloadable resource, containing all questions and Self-Assessment areas of this book. This enables ease of (re-)use and enables you to import the questions in your preferred management tool. Access instructions can be found in the book. This Self-Assessment has been approved by The Art of Service as part of a lifelong learning and Self-Assessment program and as a component of maintenance of certification. Optional other Self-Assessments are available. For more information, visit http: //theartofservice.com |
| data governance assessment questionnaire: 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 governance assessment questionnaire: Data Governance John Ladley, 2019-11-08 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 |
| data governance assessment questionnaire: Data Governance Handbook Wendy S. Batchelder, 2024-05-31 Build an actionable, business value driven case for data governance to obtain executive support and implement with excellence Key Features Develop a solid foundation in data governance and increase your confidence in data solutions Align data governance solutions with measurable business results and apply practical knowledge from real-world projects Learn from a three-time chief data officer who has worked in leading Fortune 500 companies Purchase of the print or Kindle book includes a free PDF eBook Book Description2.5 quintillion bytes! This is the amount of data being generated every single day across the globe. As this number continues to grow, understanding and managing data becomes more complex. Data professionals know that it’s their responsibility to navigate this complexity and ensure effective governance, empowering businesses with the right data, at the right time, and with the right controls. If you are a data professional, this book will equip you with valuable guidance to conquer data governance complexities with ease. Written by a three-time chief data officer in global Fortune 500 companies, the Data Governance Handbook is an exhaustive guide to understanding data governance, its key components, and how to successfully position solutions in a way that translates into tangible business outcomes. By the end, you’ll be able to successfully pitch and gain support for your data governance program, demonstrating tangible outcomes that resonate with key stakeholders. What you will learn Comprehend data governance from ideation to delivery and beyond Position data governance to obtain executive buy-in Launch a governance program at scale with a measurable impact Understand real-world use cases to drive swift and effective action Obtain support for data governance-led digital transformation Launch your data governance program with confidence Who this book is for Chief data officers, data governance leaders, data stewards, and engineers who want to understand the business value of their work, and IT professionals seeking further understanding of data management, will find this book useful. You need a basic understanding of working with data, business needs, and how to meet those needs with data solutions. Prior coding experience or skills in selling data solutions to executives are not required. |
| data governance assessment questionnaire: Data Governance for Managers Lars Michael Bollweg, 2022-05-13 Professional data management is the foundation for the successful digital transformation of traditional companies. Unfortunately, many companies fail to implement data governance because they do not fully understand the complexity of the challenge (organizational structure, employee empowerment, change management, etc.) and therefore do not include all aspects in the planning and implementation of their data governance. This book explains the driving role that a responsive data organization can play in a company's digital transformation. Using proven process models, the book takes readers from the basics, through planning and implementation, to regular operations and measuring the success of data governance. All the important decision points are highlighted, and the advantages and disadvantages are discussed in order to identify digitization potential, implement it in the company, and develop customized data governance. The book will serve as a useful guide for interested newcomers as well as for experienced managers. |
| data governance assessment questionnaire: Data Governance Complete Self-assessment Guide Gerardus Blokdyk, 2017-04-22 Does the Data Governance performance meet the customer's requirements? What type of data governance is right for your organization? What can happen without data governance? Has the Data Governance work been fairly and/or equitably divided and delegated among team members who are qualified and capable to perform the work? Has everyone contributed? Why have a data governance plan? Defining, designing, creating, and implementing a process to solve a business challenge or meet a business objective is the most valuable role... In EVERY company, organization and department. Unless you are talking a one-time, single-use project within a business, there should be a process. Whether that process is managed and implemented by humans, AI, or a combination of the two, it needs to be designed by someone with a complex enough perspective to ask the right questions. Someone capable of asking the right questions and step back and say, 'What are we really trying to accomplish here? And is there a different way to look at it?' For more than twenty years, The Art of Service's Self-Assessments empower people who can do just that - whether their title is marketer, entrepreneur, manager, salesperson, consultant, business process manager, executive assistant, IT Manager, CIO etc... - they are the people who rule the future. They are people who watch the process as it happens, and ask the right questions to make the process work better. This book is for managers, advisors, consultants, specialists, professionals and anyone interested in Data Governance assessment. Featuring 582 new and updated case-based questions, divided into seven core areas of process design, this Self-Assessment will help you identify areas in which Data Governance improvements can be made. In using the questions you will be better able to: - diagnose Data Governance projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices - implement evidence-based best practice strategies aligned with overall goals - integrate recent advances in Data Governance and process design strategies into practice according to best practice guidelines Using a Self-Assessment tool known as the Data Governance Index, you will develop a clear picture of which Data Governance areas need attention. Included with your purchase of the book is the Data Governance Self-Assessment downloadable resource, containing all questions and Self-Assessment areas of this book. This enables ease of (re-)use and enables you to import the questions in your preferred management tool. Access instructions can be found in the book. This Self-Assessment has been approved by The Art of Service as part of a lifelong learning and Self-Assessment program and as a component of maintenance of certification. Optional other Self-Assessments are available. For more information, visit http://theartofservice.com |
| data governance assessment questionnaire: Data Governance and Compliance Rupa Mahanti, 2021-04-27 This book sets the stage of the evolution of corporate governance, laws and regulations, other forms of governance, and the interaction between data governance and other corporate governance sub-disciplines. Given the continuously evolving and complex regulatory landscape and the growing number of laws and regulations, compliance is a widely discussed issue in the field of data. This book considers the cost of non-compliance bringing in examples from different industries of instances in which companies failed to comply with rules, regulations, and other legal obligations, and goes on to explain how data governance helps in avoiding such pitfalls. The first in a three-volume series on data governance, this book does not assume any prior or specialist knowledge in data governance and will be highly beneficial for IT, management and law students, academics, information management and business professionals, and researchers to enhance their knowledge and get guidance in managing their own data governance projects from a governance and compliance perspective. |
| data governance assessment questionnaire: Data Integrity and Data Governance R D McDowall, 2018-11-06 Data integrity is the hottest topic in the pharmaceutical industry. Global regulatory agencies have issued guidance, after guidance after guidance in the past few years, most of which does not offer practical advice on how to implement policies, procedures and processes to ensure integrity. These guidances state what but not how. Additionally, key stages of analysis that impact data integrity are omitted entirely. The aim of this book is to provide practical and detailed help on how to implement data integrity and data governance for regulated analytical laboratories working in or for the pharmaceutical industry. It provides clarification of the regulatory issues and trends, and gives practical methods for meeting regulatory requirements and guidance. Using a data integrity model as a basis, the principles of data integrity and data governance are expanded into practical steps for regulated laboratories to implement. The author uses case study examples to illustrate his points and provides instructions for applying the principles of data integrity and data governance to individual laboratory needs. This book is a useful reference for analytical chemists and scientists, management and senior management working in regulated laboratories requiring either an understanding about data integrity or help in implementing practical solutions. Consultants will also benefit from the practical guidance provided. |
| data governance assessment questionnaire: Data Governance John Ladley, 2012-11-07 This book is for any manager or team leader that has the green light to implement a data governance program. The problem of managing data continues to grow with issues surrounding cost of storage, exponential growth, as well as administrative, management and security concerns – the solution to being able to scale all of these issues up is data governance which provides better services to users and saves money. What you will find in this book is an overview of why data governance is needed, how to design, initiate, and execute a program and how to keep the program sustainable. With the provided framework and case studies you will be enabled and educated in launching your very own successful and money saving data governance program. - Provides a complete overview of the data governance lifecycle, that can help you discern technology and staff needs - Specifically aimed at managers who need to implement a data governance program at their company - Includes case studies to detail 'do's' and 'don'ts' in real-world situations |
| data governance assessment questionnaire: SOA Source Book The Open Group, 2020-06-11 Software services are established as a programming concept, but their impact on the overall architecture of enterprise IT and business operations is not well-understood. This has led to problems in deploying SOA, and some disillusionment. The SOA Source Book adds to this a collection of reference material for SOA. It is an invaluable resource for enterprise architects working with SOA.The SOA Source Book will help enterprise architects to use SOA effectively. It explains: What SOA is How to evaluate SOA features in business terms How to model SOA How to use The Open Group Architecture Framework (TOGAF ) for SOA SOA governance This book explains how TOGAF can help to make an Enterprise Architecture. Enterprise Architecture is an approach that can help management to understand this growing complexity. |
| data governance assessment questionnaire: The Information Governance Toolkit Tobias Keyser, Christine Dainty, 2018-04-19 * A practical introduction to the business of management for doctors and managers at all levels * This simple guide provides easy-to-use tools and techniques * It explains jargon presents managerial tasks in context and provides managerial models |
| data governance assessment questionnaire: Data Governance Success Rupa Mahanti, 2021-12-13 While good data is an enterprise asset, bad data is an enterprise liability. Data governance enables you to effectively and proactively manage data assets throughout the enterprise by providing guidance in the form of policies, standards, processes and rules and defining roles and responsibilities outlining who will do what, with respect to data. While implementing data governance is not rocket science, it is not a simple exercise. There is a lot confusion around what data governance is, and a lot of challenges in the implementation of data governance. Data governance is not a project or a one-off exercise but a journey that involves a significant amount of effort, time and investment and cultural change and a number of factors to take into consideration to achieve and sustain data governance success. Data Governance Success: Growing and Sustaining Data Governance is the third and final book in the Data Governance series and discusses the following: • Data governance perceptions and challenges • Key considerations when implementing data governance to achieve and sustain success• Strategy and data governance• Different data governance maturity frameworks• Data governance – people and process elements• Data governance metrics This book shares the combined knowledge related to data and data governance that the author has gained over the years of working in different industrial and research programs and projects associated with data, processes, and technologies and unique perspectives of Thought Leaders and Data Experts through Interviews conducted. This book will be highly beneficial for IT students, academicians, information management and business professionals and researchers to enhance their knowledge to support and succeed in data governance implementations. This book is technology agnostic and contains a balance of concepts and examples and illustrations making it easy for the readers to understand and relate to their own specific data projects. |
| data governance assessment questionnaire: The Cloud Data Lake Rukmani Gopalan, 2022-12-12 More organizations than ever understand the importance of data lake architectures for deriving value from their data. Building a robust, scalable, and performant data lake remains a complex proposition, however, with a buffet of tools and options that need to work together to provide a seamless end-to-end pipeline from data to insights. This book provides a concise yet comprehensive overview on the setup, management, and governance of a cloud data lake. Author Rukmani Gopalan, a product management leader and data enthusiast, guides data architects and engineers through the major aspects of working with a cloud data lake, from design considerations and best practices to data format optimizations, performance optimization, cost management, and governance. Learn the benefits of a cloud-based big data strategy for your organization Get guidance and best practices for designing performant and scalable data lakes Examine architecture and design choices, and data governance principles and strategies Build a data strategy that scales as your organizational and business needs increase Implement a scalable data lake in the cloud Use cloud-based advanced analytics to gain more value from your data |
| data governance assessment questionnaire: The "Orange" Model of Data Management Irina Steenbeek, 2019-10-21 *This book is a brief overview of the model and has only 24 pages.*Almost every data management professional, at some point in their career, has come across the following crucial questions:1. Which industry reference model should I use for the implementation of data managementfunctions?2. What are the key data management capabilities that are feasible and applicable to my company?3. How do I measure the maturity of the data management functions and compare that withthose of my peers in the industry4. What are the critical, logical steps in the implementation of data management?The Orange (meta)model of data management provides a collection of techniques and templates for the practical set up of data management through the design and implementation of the data and information value chain, enabled by a set of data management capabilities.This book is a toolkit for advanced data management professionals and consultants thatare involved in the data management function implementation.This book works together with the earlier published The Data Management Toolkit. The Orange model assists in specifying the feasible scope of data management capabilities, that fits company's business goals and resources. The Data Management Toolkit is a practical implementation guide of the chosen data management capabilities. |
| data governance assessment questionnaire: Ethical Marketing Through Data Governance Standards and Effective Technology Saluja, Shefali, Nayyar, Varun, Rojhe, Kuldeep, Sharma, Sandhir, 2024-05-13 Marketing on digital platforms requires critical thinking on data management systems, machine learning methods, and attributes like customer trust, societal ethics, and managing consumer feedback with the utmost utilization of technology in different ways. The pursuit for a unified source of information is fundamental for marketers in digital marketing. Ethical Marketing Through Data Governance Standards and Effective Technology delves into the intricacies of achieving this unity by addressing the challenges and presenting solutions in a structured manner. The book explores the fundamental necessity for an effective data governance strategy. It emphasizes the eradication of silos and the establishment of regulations governing data classification, storage, and processing. Within this framework, the application of artificial intelligence in marketing takes center stage. The book investigates Artificial Intelligence (AI) marketing, machine learning methods, and data management systems. Furthermore, the book studies advertising standards and challenges on online platforms. The intersection of technology and advertising is dissected, focusing on virtual assistance through avatars and their impact on consumer psychology. The importance of a comprehensive database governance strategy is underscored, presenting a complete approach for corporations to navigate the intricacies of online marketing while upholding ethical standards. |
| data governance assessment questionnaire: The DAMA Dictionary of Data Management Dama International, 2011 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 |
| data governance assessment questionnaire: A Practitioner's Guide to Data Governance Uma Gupta, San Cannon, 2020-07-08 Data governance looks simple on paper, but in reality it is a complex issue facing organizations. In this practical guide, data experts Uma Gupta and San Cannon look to demystify data governance through pragmatic advice based on real-world experience and cutting-edge academic research. |
| data governance assessment questionnaire: Proceedings of the Fourth International Conference on Administrative Science (ICAS 2022) Abdul Rahman, Septiana Dwiputrianti, Muhamad Nur Afandi, 2023-09-28 This is an open access book.Central Themes: “Administrative Reform Toward Collaborative and Digital Governance Era”. The main objective of the international conference is to identify and understand the opportunities and challenge of the sustainable development goals in the new normal era. Formulating the knowledge and experiences in regard to the sustainable development goals in the new normal era. Understanding the effect in multiple perspectives such us social, politics, political economy, governance, paradigm shift, economy, business, environmental, security, human resources management etc. Creating innovation in public policy and administration which is adaptive and sensitive to the multiplier effect of decision making and process made by the public sector governance in the pandemic era. Developing networking and partnership with international academicians, expertise and professionals in arrange of filed in business, public policy, administration, political economy, development etc. |
| data governance assessment questionnaire: Information Security Management Handbook, Volume 7 Richard O'Hanley, James S. Tiller, 2013-08-29 Updated annually, this is the most comprehensive and up-to-date reference available on information security and assurance. Bringing together the knowledgerequired of IT security professionals, it facilitates the up-to-date understanding required to stay one step ahead of evolving threats, standards, and regulations. Reporting on the latest developments in information security and recent changes to the (ISC)2 CISSP Common Body of Knowledge (CBK), this volume features 27 new chapters on topics such as BYOD, IT consumerization, smart grids, security, and privacy. |
| data governance assessment questionnaire: 2018 International Conference on Information Management and Technology (ICIMTech) IEEE Staff, 2018-09-03 The scope topics include, but are not limited to Analysis & Design of Information System Big Data and Data Mining Cloud & Grid Computing Creative and digital arts technology Decision Support System Digital Marketing Enterprise Resources Planning Financial and Accounting Information System Green Computing Green Information Technology Green Software Development Human Computer Interaction Information System Risk Management Information System Security IS IT Governance IT Compliance Knowledge Management Management Information System Manufacturing Information System Mobile Computing & Applications Network Security Services Information System Social Networking & Application Software Engineering Supply chain and logistics management technology Technopreneur Trading Information System Web Engineering |
| data governance assessment questionnaire: Secure AI Onboarding Framework Michael Bergman, 2024-08-22 AI Onboarding is the process of fine-tuning generic pre-trained AI models using the transfer learning process and the organisation's proprietary data, such as intellectual property (IP), customer data, and other domain-specific datasets. This fine-tuning transforms a generic AI model into a bespoke business tool that understands organisation-specific terminology, makes decisions in line with internal policies and strategies, and provides insights that are directly relevant to the organisation's goals and challenges. Standing in the way of this powerful transformation is the AI onboarding challenge of protecting the confidentiality, integrity and availability of proprietary data as it is collected, stored, processed and used in fine-tuning. The Secure AI Onboarding Framework is designed to address this challenge by supporting the “Risk Identification” and “Risk treatment” phases of ISO/IEC 27005. It decomposes authoritative resources including the AI Act, OWASP, NIST CSF 2.0, and AI RMF into four critical components, namely Risks, Security Controls, Assessment Questions and Control Implementation Guidance. These components help organisations first, to identify the risks relevant to their AI system and proprietary data, second, define an AI system statement of applicable controls to treat the risks. Thirdly, assess the implementation status of those controls to identify gaps in their readiness to onboard the AI system, and finally, they provide control implementation guidance to facilitate the correct control implementation. Ultimately minimising the security risks related to onboarding AI systems and securely integrating them into their business teams and processes. |
| data governance assessment questionnaire: ICICKM 2016 - Proceeding of the 13th International Conference on Intellectual Capital Knowledge Management & Organisational Learning Scott Erikson, Helen Rothberg, Proceedings of the 13th International Conference on Intellectual Capital Knowledge Management & Organisational Learning held at Ithaca College, NY, USA on 16-17 Septemeber 2016 |
| data governance assessment questionnaire: Interop John Palfrey, Urs Gasser, 2012-06-05 In Interop, technology experts John Palfrey and Urs Gasser explore the immense importance of interoperability -- the standardization and integration of technology -- and show how this simple principle will hold the key to our success in the coming decades and beyond. The practice of standardization has been facilitating innovation and economic growth for centuries. The standardization of the railroad gauge revolutionized the flow of commodities, the standardization of money revolutionized debt markets and simplified trade, and the standardization of credit networks has allowed for the purchase of goods using money deposited in a bank half a world away. These advancements did not eradicate the different systems they affected; instead, each system has been transformed so that it can interoperate with systems all over the world, while still preserving local diversity. As Palfrey and Gasser show, interoperability is a critical aspect of any successful system -- and now it is more important than ever. Today we are confronted with challenges that affect us on a global scale: the financial crisis, the quest for sustainable energy, and the need to reform health care systems and improve global disaster response systems. The successful flow of information across systems is crucial if we are to solve these problems, but we must also learn to manage the vast degree of interconnection inherent in each system involved. Interoperability offers a number of solutions to these global challenges, but Palfrey and Gasser also consider its potential negative effects, especially with respect to privacy, security, and co-dependence of states; indeed, interoperability has already sparked debates about document data formats, digital music, and how to create successful yet safe cloud computing. Interop demonstrates that, in order to get the most out of interoperability while minimizing its risks, we will need to fundamentally revisit our understanding of how it works, and how it can allow for improvements in each of its constituent parts. In Interop, Palfrey and Gasser argue that there needs to be a nuanced, stable theory of interoperability -- one that still generates efficiencies, but which also ensures a sustainable mode of interconnection. Pointing the way forward for the new information economy, Interop provides valuable insights into how technological integration and innovation can flourish in the twenty-first century. |
| data governance assessment questionnaire: Survey Data Harmonization in the Social Sciences Irina Tomescu-Dubrow, Christof Wolf, Kazimierz M. Slomczynski, J. Craig Jenkins, 2024-01-11 Survey Data Harmonization in the Social Sciences An expansive and incisive overview of the practical uses of harmonization and its implications for data quality and costs In Survey Data Harmonization in the Social Sciences, a team of distinguished social science researchers delivers a comprehensive collection of ex-ante and ex-post harmonization methodologies in the context of specific longitudinal and cross-national survey projects. The book examines how ex-ante and ex-post harmonization work individually and in relation to one another, offering practical guidance on harmonization decisions in the preparation of new data infrastructure for comparative research. Contributions from experts in sociology, political science, demography, economics, health, and medicine are included, all of which give voice to discipline-specific and interdisciplinary views on methodological challenges inherent in harmonization. The authors offer perspectives from Europe and the United States, as well as Africa, the latter of which provides insights rarely featured in survey research methodology handbooks. Readers will also find: A thorough introduction to approaches and concepts for survey data harmonization, as well as the effects of data harmonization on the overall survey research process Comprehensive explorations of ex-ante harmonization of survey instruments and non-survey data Practical discussions of ex-post harmonization of national social surveys, census and time use data, including explorations of survey data recycling A detailed overview of statistical issues linked to the use of harmonized survey data Perfect for upper undergraduate and graduate researchers who specialize in survey methodology, Survey Data Harmonization in the Social Sciences will also earn a place in the libraries of survey practitioners who engage in international research. |
| data governance assessment questionnaire: OECD Public Governance Reviews Enhancing Public Accountability in Spain Through Continuous Supervision OECD, 2021-11-30 Spain has undertaken a series of reforms over the last decade to strengthen the government’s ability to deliver high-quality services to citizens and businesses, while enhancing transparency and accountability. One major effort spearheaded by the National Audit Office (Oficina Nacional de Auditoría or ONA) is the continuous supervision system (SSC), a risk-based methodology that acts as a litmus test for the financial health, effectiveness and sustainability of public institutions. |
| data governance assessment questionnaire: OECD Public Governance Reviews Strengthening Analytics in Mexico’s Supreme Audit Institution Considerations and Priorities for Assessing Integrity Risks OECD, 2022-10-26 This report explores ways for Mexico’s supreme audit institution, Auditoría Superior de la Federación (ASF), to strengthen its use of analytics. While the report focuses on the use of data to enhance the detection of integrity risks, it also recognises the implications of better analytics for the ASF’s broader digital transformation strategy. |
| data governance assessment questionnaire: Online Instruments, Data Collection, and Electronic Measurements: Organizational Advancements Bocarnea, Mihai C., 2012-10-31 This book aims to assist researchers in both understanding and utilizing online data collection by providing methodological knowledge related to online research, and by presenting information about the empirical quality, the availability, and the location of specific online instruments--Provided by publisher. |
| data governance assessment questionnaire: Indigenous Data Sovereignty and Policy Maggie Walter, Tahu Kukutai, Stephanie Russo Carroll, Desi Rodriguez-Lonebear, 2020-10-29 This book examines how Indigenous Peoples around the world are demanding greater data sovereignty, and challenging the ways in which governments have historically used Indigenous data to develop policies and programs. In the digital age, governments are increasingly dependent on data and data analytics to inform their policies and decision-making. However, Indigenous Peoples have often been the unwilling targets of policy interventions and have had little say over the collection, use and application of data about them, their lands and cultures. At the heart of Indigenous Peoples’ demands for change are the enduring aspirations of self-determination over their institutions, resources, knowledge and information systems. With contributors from Australia, Aotearoa New Zealand, North and South America and Europe, this book offers a rich account of the potential for Indigenous data sovereignty to support human flourishing and to protect against the ever-growing threats of data-related risks and harms. The Open Access version of this book, available at https://www.taylorfrancis.com/books/e/9780429273957, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license |
| data governance assessment questionnaire: Human Activity, Biodiversity and Ecosystem Services in Protected Areas Molla Mekonnen Alemu, 2021-12-13 This book examines the development needs of protected areas with threatened ecological biodiversity to gain deeper understanding of the local perspective of protected area ecosystems. The study focuses on the case of Nech Sar National Park in Ethiopia, a protected area facing many development challenges due to human over-utilization of its resources and threats to wildlife. The conceptual framework developed by this research makes an academic contribution in the protection and sustainable development of national parks' natural capital, since it is designed to provide a systemic analysis of the problem by showing the extent and magnitude of human induced impacts on the natural capital of protected areas. In line with this, the application of the framework produces new and evidence-based findings which will help to improve the governance of protected areas as the research will provide park authorities with a practical tool in addressing the underlying causes of the degradation of national parks before the state of degradation of these resources reach its irreversible juncture. The book will help academicians and researchers to assess the state of biodiversity resources in protected areas using Nech Sar National Park as a representative example of a threatened area common throughout Africa, and will enable development practitioners and policy makers to devise appropriate strategies such as community participation in the governance of protected areas that could help to halt the degradation of resources in protected areas. |
| data governance assessment questionnaire: Better Cities, Better World Catherine Farvacque-Vitkovic, Mihaly Kopanyi, 2019-07-30 The planet is becoming increasingly urban. In many ways, the urbanization wave and the unprecedented urban growth of the past 20 years have created a sense of urgency and an impetus for change. Some 54 percent of the world population—3.9 billion people—lives in urban areas today; thus, it has become clear that “business as usual†? is no longer possible. This new configuration places great expectations on local governments. While central governments are subject to instability and political changes, local governments are seen as more inclined to stay the course. Because they are closer to the people, the voice of the people is more clearly heard for a truly democratic debate over the choice of neighborhood investments and city-wide policies and programs, as well as the decision process on the use of public funds and taxpayers’ money. In a context of skewed financial resources and complex urban challenges—which range from the provision of basic traditional municipal services to the “newer†? agenda of social inclusion, economic development, city branding, emergency response, smart technologies, and green investment—more cities are searching for more effective and innovative ways to deal with new and old problems. Better Cities, Better World: A Handbook on Local Governments Self-Assessments is at the heart of this debate. It recognizes the complex past, current, and future challenges that cities face and outlines a bottom-line, no-nonsense framework for data-based policy dialogue and action; a common language that, for the first time, helps connect the dots between public investments programming (Urban Audit/Self-Assessment) and financing (Municipal Finances Self-Assessment). It helps address two key questions, too often bypassed when it comes to municipal infrastructure and services financing: Are we doing the right things? Are we doing things right? Better Cities, Better World: A Handbook on Local Governments Self-Assessments offers a bit of everything for everyone. • Central governments will be attracted by the purposefulness and clarity of these tools, their impact on local government capacity and performance building, and how they improve the implementation of transformative actions for policy change. • City leaders and policy makers will find the sections on objectives and content instructive and informative, with each issue placed in its context, and strong connections between data and municipal action. • Municipal staff in charge of day-to-day management will find that the sections on tasks and the detailed step-by-step walk through the process give them the pragmatic knowhow that they need. • Cities’ partners—such as bilateral and multilateral agencies, banks and funds, utility companies, civil society, and private operators—will find the foundations for more effective collaborative partnerships. |
| data governance assessment questionnaire: Proceedings of the 2nd International Interdisciplinary Conference on Environmental Sciences and Sustainable Developments Education and Green Economy (IICESSD-EGE 2022) Femilia Zahra, Salahudin Muhidin, Norbani Che-Ha, Husnah Husnah, Mery Napitupulu, Wahyuningsih Wahyuningsih, 2024-01-30 This is an open access book. THE SUBJECT MATTER OF THE CONFERENCE INCLUDES THE FOLLOWING AND RELATED ISSUES:Agriculture and forestry for the environment and sustainable developmentHealth for the environment and sustainable developmentEngineering science for environment and sustainable developmentEducation for the environment and sustainable developmentGreen economy, entrepreneurship and good governance for sustainable development |
| data governance assessment questionnaire: Banking and Effective Capital Regulation in Practice Sophia Velez, 2020-11-18 Due to a historical lack of attention to the importance of modelling, measuring and managing risk, senior bank leaders are struggling to implement unified practices within their financial institutions that could address the gaps posed by risky management behaviour, rogue trading, liquidity crises, prohibited investments in mortgage-backed securities, and default risks aligned with loans. This book discusses the theories at play between bank agents (bank managers) and their principals (shareholders), a topic which has gained importance as a result of the banking crisis, and similarly, governed the need for more efficient risk management and ethical managerial practices. The author worked with a senior bank leadership team to identify and describe effective capital regulation practices that can lead to a reduction in loss and risky management behavioural practices. The book offers consensus on a number of activities that bank managers can implement to address bank risk. It analyses the relevant factors that determine the necessity for banking regulation and the important role of regulation in managing banking crises. The author’s analysis of the important regulatory aspects in developed countries such as the US, offers a useful conceptual framework for creating an adequate banking regulatory environment in developing countries. This book offers an original contribution to the field of banking that undergraduate, masters, PhD students, academics and researchers can use to gain a deeper understanding of the constructs at play in the banking industry. |
| data governance assessment questionnaire: Organizational Assessment Charles Lusthaus, Inter-American Development Bank, International Development Research Centre (Canada), 2002 Organizational Assessment: A framework for improving performance |
| data governance assessment questionnaire: Accountability and Security in the Cloud Massimo Felici, Carmen Fernández-Gago, 2015-03-31 The First A4Cloud Summer School has been one of the first events in the area of accountability and security in the cloud. It was organized by the EU-funded A4Cloud project, in collaboration with the European projects CIRRUS, Coco Cloud, CUMULUS, and SPECS. Cloud computing is a key technology that is being adopted progressively by companies and users across different application domains and industries. Yet, there are emerging issues such as security, privacy, and data protection. The 13 contributions included in this volume cover the state of the art and provide research insights into the following topics: accountability in the cloud; privacy and transparency in the cloud; empirical approaches for the cloud; socio-legal aspects of the cloud; cloud standards; and the accountability glossary of terms and definitions. |
| data governance assessment questionnaire: Advances in Intelligent Systems and Interactive Applications Fatos Xhafa, Srikanta Patnaik, Albert Y. Zomaya, 2017-10-30 This book presents research papers from diverse areas on novel Intelligent Systems and Interactive Systems and Applications. It gathers selected research papers presented at the 2nd International Conference on Intelligent and Interactive Systems and Applications (IISA2017), which was held on June 17–18, 2017 in Beijing, China. Interactive Intelligent Systems (IIS) are systems that interact with human beings, media or virtual agents in intelligent computing environments. The emergence of Big Data and the Internet of Things have now opened new opportunities in both academic and industrial research for the successful design and development of intelligent interactive systems. This book explores how novel interactive systems can be used to overcome various challenges and limitations previously encountered by human beings by combining machine learning algorithms and the analysis of recent trends. The book presents 125 contributions, which have been categorized into seven sections, namely: i) Autonomous Systems; ii) Pattern Recognition and Vision Systems; iii) E-Enabled Systems; iv) Mobile Computing and Intelligent Networking; v) Internet and Cloud Computing; vi) Intelligent Systems, and vii) Various Applications. It not only offers readers extensive theoretical information on Intelligent and Interactive Systems, but also introduces them to various applications in different domains. |
| data governance assessment questionnaire: 13th International Conference on Intellectual Capital Knowledge Management & Organisational Learning , |
| data governance assessment questionnaire: Cloud Computing Security John R. Vacca, 2020-11-05 This handbook offers a comprehensive overview of cloud computing security technology and implementation while exploring practical solutions to a wide range of cloud computing security issues. As more organizations use cloud computing and cloud providers for data operations, the need for proper security in these and other potentially vulnerable areas has become a global priority for organizations of all sizes. Research efforts from academia and industry as conducted and reported by experts in all aspects of security related to cloud computing are gathered within one reference guide. Features • Covers patching and configuration vulnerabilities of a cloud server • Evaluates methods for data encryption and long-term storage in a cloud server • Demonstrates how to verify identity using a certificate chain and how to detect inappropriate changes to data or system configurations John R. Vacca is an information technology consultant and internationally known author of more than 600 articles in the areas of advanced storage, computer security, and aerospace technology. John was also a configuration management specialist, computer specialist, and the computer security official (CSO) for NASA’s space station program (Freedom) and the International Space Station Program from 1988 until his 1995 retirement from NASA. |
| data governance assessment questionnaire: Country Digital Education Ecosystems and Governance A Companion to Digital Education Outlook 2023 OECD, 2023-12-13 This report, linked with the Digital Education Outlook 2023, provides an overview of 29 countries’ (or jurisdictions') digital education ecosystem and governance. |
| data governance assessment questionnaire: Resources in Education , 1998 |
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