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| data governance survey questions: 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 survey questions: OECD Health Policy Studies Health Data Governance Privacy, Monitoring and Research OECD, 2015-10-05 This report identifies eight key data governance mechanisms to maximise benefits to patients and to societies from the collection, linkage and analysis of health data, and to minimise risks to both patient privacy and the security of health data. |
| data governance survey questions: 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 survey questions: 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 survey questions: 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 survey questions: Data Stewardship David Plotkin, 2020-10-31 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 |
| data governance survey questions: Proceedings of World Conference on Information Systems for Business Management Andres Iglesias, |
| data governance survey questions: Data Model Scorecard Steve Hoberman, 2015-11-01 Data models are the main medium used to communicate data requirements from business to IT, and within IT from analysts, modelers, and architects, to database designers and developers. Therefore it’s essential to get the data model right. But how do you determine right? That’s where the Data Model Scorecard® comes in. The Data Model Scorecard is a data model quality scoring tool containing ten categories aimed at improving the quality of your organization’s data models. Many of my consulting assignments are dedicated to applying the Data Model Scorecard to my client’s data models – I will show you how to apply the Scorecard in this book. This book, written for people who build, use, or review data models, contains the Data Model Scorecard template and an explanation along with many examples of each of the ten Scorecard categories. There are three sections: In Section I, Data Modeling and the Need for Validation, receive a short data modeling primer in Chapter 1, understand why it is important to get the data model right in Chapter 2, and learn about the Data Model Scorecard in Chapter 3. In Section II, Data Model Scorecard Categories, we will explain each of the ten categories of the Data Model Scorecard. There are ten chapters in this section, each chapter dedicated to a specific Scorecard category: · Chapter 4: Correctness · Chapter 5: Completeness · Chapter 6: Scheme · Chapter 7: Structure · Chapter 8: Abstraction · Chapter 9: Standards · Chapter 10: Readability · Chapter 11: Definitions · Chapter 12: Consistency · Chapter 13: Data In Section III, Validating Data Models, we will prepare for the model review (Chapter 14), cover tips to help during the model review (Chapter 15), and then review a data model based upon an actual project (Chapter 16). |
| data governance survey questions: Healthcare Transformation with Informatics and Artificial Intelligence J. Mantas, P. Gallos, E. Zoulias, 2023-07-27 Artificial intelligence (AI) is once again in the news, with many major figures urging caution as developments in the technology accelerate. AI impacts all aspects of our lives, but perhaps the discipline of Biomedical Informatics is more affected than most, and is an area where the possible pitfalls of the technology might have particularly serious consequences. This book presents the papers delivered at ICIMTH 2023, the 21st International Conference on Informatics, Management, and Technology in Healthcare, held in Athens, Greece, from 1-3 July 2023. The ICIMTH conferences form a series of scientific events which offers a platform for scientists working in the field of biomedical and health informatics from all continents to gather and exchange research findings and experience. The title of the 2023 conference was Healthcare Transformation with Informatics and Artificial Intelligence, reflecting the importance of AI to healthcare informatics. A total of 252 submissions were received by the Program Committee, of which 149 were accepted as full papers, 13 as short communications, and 14 as poster papers after review. The papers cover a wide range of technologies, and topics include imaging, sensors, biomedical equipment, and management and organizational aspects, as well as legal and social issues. The book provides a timely overview of informatics and technology in healthcare during this time of extremely fast developments, and will be of interest to all those working in the field. |
| data governance survey questions: Health Data Governance for the Digital Age Implementing the OECD Recommendation on Health Data Governance OECD, 2022-05-11 Health data are essential to modern health care delivery, health system management and research and innovation, and must be well governed to foster their use while protecting privacy and data security. The 2016 OECD Recommendation on Health Data Governance provides a roadmap towards more harmonised approaches to health data governance across countries. |
| data governance survey questions: 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 survey questions: Platform Ecosystems Amrit Tiwana, 2013-11-12 Platform Ecosystems is a hands-on guide that offers a complete roadmap for designing and orchestrating vibrant software platform ecosystems. Unlike software products that are managed, the evolution of ecosystems and their myriad participants must be orchestrated through a thoughtful alignment of architecture and governance. Whether you are an IT professional or a general manager, you will benefit from this book because platform strategy here lies at the intersection of software architecture and business strategy. It offers actionable tools to develop your own platform strategy, backed by original research, tangible metrics, rich data, and cases. You will learn how architectural choices create organically-evolvable, vibrant ecosystems. You will also learn to apply state-of-the-art research in software engineering, strategy, and evolutionary biology to leverage ecosystem dynamics unique to platforms. Read this book to learn how to: Evolve software products and services into vibrant platform ecosystems Orchestrate platform architecture and governance to sustain competitive advantage Govern platform evolution using a powerful 3-dimensional framework If you’re ready to transform platform strategy from newspaper gossip and business school theory to real-world competitive advantage, start right here! Understand how architecture and strategy are inseparably intertwined in platform ecosystems Architect future-proof platforms and apps and amplify these choices through governance Evolve platforms, apps, and entire ecosystems into vibrant successes and spot platform opportunities in almost any—not just IT—industry |
| data governance survey questions: Global Economic Revolutions , This book constitutes the revised and selected papers of the International Conference on Global Economic Revolutions (ICGER 2023) held in Sharjah City, United Arab Emirates, during February 27-28, 2023. The 18 papers included in this book were thoroughly reviewed and selected from the 105 submissions. The papers focus on topics related to data science and data centers, machine learning, sustainable technologies for a green economy, metaverse in the healthcare education, Predictive Model Analytics using Data mining and Machine learning, blockchain adoption and acceptance, Narrow Band Internet of Things, and enhanced Bubble Sorting Visualizer. |
| data governance survey questions: 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 survey questions: 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 survey questions: Data Governance and Policy in Africa Bitange Ndemo, |
| data governance survey questions: Information Systems Maria Papadaki, Marinos Themistocleous, Khalid Al Marri, Marwan Al Zarouni, 2024 Zusammenfassung: This book constitutes selected papers from the 20th European, Mediterranean, and Middle Eastern Conference, EMCIS 2023, which was held in Dubai, UAE, during December 11-12, 2023. EMCIS covers technical, organizational, business, and social issues in the application of information technology and is dedicated to the definition and establishment of Information Systems (IS) as a discipline of high impact for IS professionals and practitioners. It focuses on approaches that facilitate the identification of innovative research of significant relevance to the IS discipline following sound research methodologies that lead to results of measurable impact. The 43 papers presented in this volume were carefully reviewed and selected from a total of 126 submissions. They were organized in topical sections as follows: Part I: Metaverse; blockchain technology and applications; digital governance; healthcare information systems; artificial intelligence; Part II: Big data and analytics; digital services and social media; innovative research projects; managing information systems; smart cities. |
| data governance survey questions: Government at a Glance 2013 OECD, 2013-11-10 Government at a Glance 2013 provides readers with a dashboard of key indicators assembled with the goal of contributing to the analysis and international comparison of public sector performance. |
| data governance survey questions: How's Life? 2017 Measuring Well-being OECD, 2017-11-15 How’s Life? charts the promises and pitfalls for people’s well-being in 35 OECD countries and 6 partner countries. It presents the latest evidence from 50 indicators, covering both current well-being outcomes and resources for future well-being, and including changes since 2005. |
| data governance survey questions: The Protection and Promotion of Civic Space Strengthening Alignment with International Standards and Guidance OECD, 2022-12-16 The past decade has seen increasing international recognition of civic space as a cornerstone of functioning democracies, alongside efforts to promote and protect it. Countries that foster civic space are better placed to reap the many benefits of higher levels of citizen engagement, strengthened transparency and accountability, and empowered citizens and civil society. In the longer term, a vibrant civic space can help to improve government effectiveness and responsiveness, contribute to more citizen-centred policies, and boost social cohesion. |
| data governance survey questions: Information Governance Robert F. Smallwood, 2019-11-26 The essential guide to effective IG strategy and practice Information Governance is a highly practical and deeply informative handbook for the implementation of effective Information Governance (IG) procedures and strategies. A critical facet of any mid- to large-sized company, this “super-discipline” has expanded to cover the management and output of information across the entire organization; from email, social media, and cloud computing to electronic records and documents, the IG umbrella now covers nearly every aspect of your business. As more and more everyday business is conducted electronically, the need for robust internal management and compliance grows accordingly. This book offers big-picture guidance on effective IG, with particular emphasis on document and records management best practices. Step-by-step strategy development guidance is backed by expert insight and crucial advice from a leading authority in the field. This new second edition has been updated to align with the latest practices and regulations, providing an up-to-date understanding of critical IG concepts and practices. Explore the many controls and strategies under the IG umbrella Understand why a dedicated IG function is needed in today’s organizations Adopt accepted best practices that manage risk in the use of electronic documents and data Learn how IG and IT technologies are used to control, monitor, and enforce information access and security policy IG strategy must cover legal demands and external regulatory requirements as well as internal governance objectives; integrating such a broad spectrum of demands into workable policy requires a deep understanding of key concepts and technologies, as well as a clear familiarity with the most current iterations of various requirements. Information Governance distills the best of IG into a primer for effective action. |
| data governance survey questions: 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 survey questions: Data Governance Ismael Caballero, Mario Piattini, 2024-01-28 This book presents a set of models, methods, and techniques that allow the successful implementation of data governance (DG) in an organization and reports real experiences of data governance in different public and private sectors. To this end, this book is composed of two parts. Part I on “Data Governance Fundamentals” begins with an introduction to the concept of data governance that stresses that DG is not primarily focused on databases, clouds, or other technologies, but that the DG framework must be understood by business users, systems personnel, and the systems themselves alike. Next, chapter 2 addresses crucial topics for DG, such as the evolution of data management in organizations, data strategy and policies, and defensive and offensive approaches to data strategy. Chapter 3 then details the central role that human resources play in DG, analysing the key responsibilities of the different DG-related roles and boards, while chapter 4 discusses the most common barriers to DG in practice. Chapter 5 summarizes the paradigm shifts in DG from control to value creation. Subsequently chapter 6 explores the needs, characteristics and key functionalities of DG tools, before this part ends with a chapter on maturity models for data governance. Part II on “Data Governance Applied” consists of five chapters which review the situation of DG in different sectors and industries. Details about DG in the banking sector, public administration, insurance companies, healthcare and telecommunications each are presented in one chapter. The book is aimed at academics, researchers and practitioners (especially CIOs, Data Governors, or Data Stewards) involved in DG. It can also serve as a reference for courses on data governance in information systems. |
| data governance survey questions: Transactions on Large-Scale Data- and Knowledge-Centered Systems XLVIII Abdelkader Hameurlain, A Min Tjoa, 2021-05-17 The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing (e.g., computing resources, services, metadata, data sources) across different sites connected through networks has led to an evolution of data- and knowledge management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability. This, the 48th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains 8 invited papers dedicated to the memory of Prof. Dr. Roland Wagner. The topics covered include distributed database systems, NewSQL, scalable transaction management, strong consistency, caches, data warehouse, ETL, reinforcement learning, stochastic approximation, multi-agent systems, ontology, model-driven development, organisational modelling, digital government, new institutional economics and data governance. |
| data governance survey questions: Advances in Information and Communication Kohei Arai, 2023-02-26 This book gathers the proceedings of the eighth Future of Information and Computing Conference, which was held successfully in virtual mode. It received a total of 369 paper submissions from renowned and budding scholars, academics, and distinguished members of the industry. The topics fanned across various fields involving computing, Internet of Things, data science, and artificial intelligence. Learned scholars from all walks of life assembled under one roof to share their unique, original, and breakthrough researches and paved a new technological path for the world. Many of the studies seek to change the face of the world itself. Their innovative thinking indeed aims to solve several gruesome problems in the field of communication, data science, ambient intelligence, networking, computing, security, and privacy. The authors have strived to render valuable pieces of study in this edition and hope to acquire enthusiastic support from the readers. |
| data governance survey questions: Artificial Intelligence, Big Data, IOT and Block Chain in Healthcare: From Concepts to Applications Yousef Farhaoui, |
| data governance survey questions: 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 survey questions: The University in Africa and Democratic Citizenship Thierry M. Luescher, Sam Kiiru, 2011 Report on student surveys conducted at the University of Nairobi, Kenya, the University of Cape Town, South Africa, and the University of Dar es Salaam, Tanzania. |
| data governance survey questions: Neighborhood Associations and Local Governance in Japan Robert J. Pekkanen, Yutaka Tsujinaka, Hidehiro Yamamoto, 2014-06-20 Although local neighborhood associations are found in many countries, Japan’s are distinguished by their ubiquity, scope of activities, and very high participation rates, making them important for the study of society and politics. Most Japanese belong to one local neighborhood association or another, making them Japan’s most numerous civil society organization, and one that powerfully shapes governance outcomes in the country. And, they also often blur the state-society boundary, making them theoretically intriguing. Neighborhood Associations and Local Governance in Japan draws on a unique and novel body of empirical data derived from the first national survey of neighborhood associations carried out in 2007 and provides a multifaceted empirical portrait of Japan’s neighborhood associations. It examines how local associational structures affect the quality of local governance, and thus the quality of life for Japan’s citizens and residents, and illuminates the way in which these ambiguous associations can help us refine civil society theory and show how they contribute to governance. As well as outlining the key features of neighbourhood associations, the book goes on to examine in detail the way in which neighbourhood associations contribute to governance, in terms of social capital, networks with other community organizations, social service provision, cooperation with local governments and political participation. This book will be welcomed by students and scholars of Japanese politics, Japanese society, anthropology, urban studies as well as those interested in social capital and civil society. |
| data governance survey questions: Advances in Databases and Information Systems Ladjel Bellatreche, Marlon Dumas, Panagiotis Karras, Raimundas Matulevičius, 2021-08-16 This book constitutes the proceedings of the 25th European Conference on Advances in Databases and Information Systems, ADBIS 2021, held in Tartu, Estonia, in August 2021. The 18 full papers presented together with 3 keynotes were carefully reviewed and selected from 70 submissions. The selected papers span a wide spectrum of topics in databases and related technologies, tackling challenging problems and presenting inventive and efficient solutions. They are organized in 5 sessions: patterns and events, social media and text mining, indexes, queries and constraints, high-dimensional data and data streams, and data integration. |
| data governance survey questions: The University in Africa and Democratic Citizenship M. Luescher-Mamashela, 2011-06-01 Whether and how higher education in Africa contributes to democratisation beyond producing the professionals that are necessary for developing and sustaining a modern political system, remains an unresolved question. This report, then, represents an attempt to address the question of whether there are university specific mechanisms or pathways by which higher education contributes to the development of democratic attitudes and behaviours among students, and how these mechanisms operate and relate to politics both on and off campus. The research contained in this report shows that the potential of a university to act as training ground for democratic citizenship is best realised by supporting students' exercise of democratic leadership on campus. This, in turn, develops and fosters democratic leadership in civil society. Thus, the university's response to student political activity, student representation in university governance and other aspects of extra-curricular student life needs to be examined for ways in which African universities can instil and support democratic values and practices. Encouraging and facilitating student leadership in various forms of on-campus political activity and in a range of student organisations emerges as one of the most promising ways in which African universities can act as training grounds for democratic citizenship. The project on which this report is based forms part of a larger study on Higher Education and Democracy in Africa, undertaken by the Higher Education Research and Advocacy Network in Africa (HERANA). HERANA is coordinated by the Centre for Higher Education Transformation in South Africa. |
| data governance survey questions: OECD Rural Policy Reviews Linking Indigenous Communities with Regional Development in Canada OECD, 2020-01-21 Canada’s Constitution Act (1982) recognises three Indigenous groups: Indians (now referred to as First Nations), Inuit, and Métis. Indigenous peoples make a vital contribution to the culture, heritage and economic development of Canada. Despite improvements in Indigenous well-being in recent decades, significant gaps remain with the non-Indigenous population. This study focuses on four priority issues to maximise the potential of Indigenous economies in Canada. |
| data governance survey questions: Electronic Government Hans Jochen Scholl, Olivier Glassey, Marijn Janssen, Bram Klievink, Ida Lindgren, Peter Parycek, Efthimios Tambouris, Maria A. Wimmer, Tomasz Janowski, Delfina Sá Soares, 2016-08-13 This book constitutes the refereed proceedings of the 15th IFIP WG 8.5 International Conference on Electronic Government, EGOV 2016, held in Guimaraes, Portugal, in September 2016, in conjunction with the 8th International Conference on eParticipation, ePart 2016. The 24 revised full papers presented were carefully reviewed and selected from 87 submissions. The papers are clustered under the following topical sections: foundations; benchmarking and evaluation; information integration and governance; services; evaluation and public values; EGOV success and failure; governance; social media; engagement; processes; policy-making; trust, transparency and accountability; open government and big/open data; smart government/governance/cities. |
| data governance survey questions: The Palgrave Handbook of Indicators in Global Governance Debora Valentina Malito, Gaby Umbach, Nehal Bhuta, 2017-11-27 This volume brings together both academic and institutional perspectives to examine the production, use and contestation of indicators in global governance. It provides a unique and comprehensive guide to the latest research in the study of indicators and their use in global governance and policy making. The editors provide a guide to the recent vast body of literature and practice on measuring governance and measurement as governance at the global level, and present a state-of-the-art analysis of social science research on indicators at both the transnational and the global level. The Handbook brings together scholars from a variety of disciplines and perspectives, as well as policy-makers from international organisations and non-government organisations working in the field. This volume will be a valuable resource for students and academics in the fields of public policy, administration and management, international relations, political science, law, and globalisation, as well as policy makers and practitioners. |
| data governance survey questions: OECD Digital Government Studies The Path to Becoming a Data-Driven Public Sector OECD, 2019-11-28 This report highlights the important role data can play in creating conditions that improve public services, increase the effectiveness of public spending and inform ethical and privacy considerations. It presents a data-driven public sector framework that can help countries or organisations assess the elements needed for using data to make better-informed decisions across public sectors. |
| data governance survey questions: Run Grow Transform Steven Bell, 2017-07-27 Shingo Prize-winning author Steve Bell and other thought leaders show you how guiding you to more effectively align people and purpose, promote enterprise agility, and leverage transformative IT capabilities to create market-differentiating value for your customers. Combining research and insight with practical examples and in-depth case studies that can be put to immediate use, Run Grow Transform: Integrating Business and Lean IT is a must read for leaders and senior managers from all disciplines. |
| data governance survey questions: Research Data Management Joyce M. Ray, 2014 It has become increasingly accepted that important digital data must be retained and shared in order to preserve and promote knowledge, advance research in and across all disciplines of scholarly endeavor, and maximize the return on investment of public funds. To meet this challenge, colleges and universities are adding data services to existing infrastructures by drawing on the expertise of information professionals who are already involved in the acquisition, management and preservation of data in their daily jobs. Data services include planning and implementing good data management practices, thereby increasing researchers' ability to compete for grant funding and ensuring that data collections with continuing value are preserved for reuse. This volume provides a framework to guide information professionals in academic libraries, presses, and data centers through the process of managing research data from the planning stages through the life of a grant project and beyond. It illustrates principles of good practice with use-case examples and illuminates promising data service models through case studies of innovative, successful projects and collaborations. |
| data governance survey questions: Public Health Matters: Pandemic, Policies, Processes Noor Hazilah Abd Manaf, Yong Kang Cheah, Noor’ain Mohamad Yunus, 2022-05-27 |
| data governance survey questions: Proceedings of the Future Technologies Conference (FTC) 2024, Volume 3 Kohei Arai, |
| data governance survey questions: Educating Health Professionals in Genomic Medicine: Evidence-Based Strategies and Approaches Sylvia Ann Metcalfe, Clara Gaff, Michael Dougherty, 2020-10-09 This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact. |
Data and Digital Outputs Management Plan (DDOMP)
Data and Digital Outputs Management Plan (DDOMP)
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Open Data Policy and Principles - Belmont Forum
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Jan 27, 2016 · Adoption of the open data policy and principles is one of five recommendations in A Place to Stand: e-Infrastructures and Data Management for Global Change Research, …
Belmont Forum Data Accessibility Statement and Policy
The DAS encourages researchers to plan for the longevity, reusability, and stability of the data attached to their research publications and results. Access to data promotes reproducibility, …
Climate-Induced Migration in Africa and Beyond: Big Data and …
CLIMB will also leverage earth observation and social media data, and combine them with survey and official statistical data. This holistic approach will allow us to analyze migration process …
Advancing Resilience in Low Income Housing Using Climate …
Jun 4, 2020 · Environmental sustainability and public health considerations will be included. Machine Learning and Big Data Analytics will be used to identify optimal disaster resilient …
Belmont Forum
What is the Belmont Forum? The Belmont Forum is an international partnership that mobilizes funding of environmental change research and accelerates its delivery to remove critical …
Waterproofing Data: Engaging Stakeholders in Sustainable Flood …
Apr 26, 2018 · Waterproofing Data investigates the governance of water-related risks, with a focus on social and cultural aspects of data practices. Typically, data flows up from local levels to …
Data Management Annex (Version 1.4) - Belmont Forum
A full Data Management Plan (DMP) for an awarded Belmont Forum CRA project is a living, actively updated document that describes the data management life cycle for the data to be …
Data and Digital Outputs Management Plan (DDOMP)
Data and Digital Outputs Management Plan (DDOMP)
Building New Tools for Data Sharing and Reuse through a …
Jan 10, 2019 · The SEI CRA will closely link research thinking and technological innovation toward accelerating the full path of discovery-driven data use and open science. This will enable a …
Open Data Policy and Principles - Belmont Forum
The data policy includes the following principles: Data should be: Discoverable through catalogues and search engines; Accessible as open data by default, and made available with …
Belmont Forum Adopts Open Data Principles for Environmental …
Jan 27, 2016 · Adoption of the open data policy and principles is one of five recommendations in A Place to Stand: e-Infrastructures and Data Management for Global Change Research, …
Belmont Forum Data Accessibility Statement and Policy
The DAS encourages researchers to plan for the longevity, reusability, and stability of the data attached to their research publications and results. Access to data promotes reproducibility, …
Climate-Induced Migration in Africa and Beyond: Big Data and …
CLIMB will also leverage earth observation and social media data, and combine them with survey and official statistical data. This holistic approach will allow us to analyze migration process …
Advancing Resilience in Low Income Housing Using Climate …
Jun 4, 2020 · Environmental sustainability and public health considerations will be included. Machine Learning and Big Data Analytics will be used to identify optimal disaster resilient …
Belmont Forum
What is the Belmont Forum? The Belmont Forum is an international partnership that mobilizes funding of environmental change research and accelerates its delivery to remove critical …
Waterproofing Data: Engaging Stakeholders in Sustainable Flood …
Apr 26, 2018 · Waterproofing Data investigates the governance of water-related risks, with a focus on social and cultural aspects of data practices. Typically, data flows up from local levels to …
Data Management Annex (Version 1.4) - Belmont Forum
A full Data Management Plan (DMP) for an awarded Belmont Forum CRA project is a living, actively updated document that describes the data management life cycle for the data to be …
