Download or read book The Open Data Imperative written by Suzie Allard and published by . This book was released on 2016 with total page 78 pages. Available in PDF, EPUB and Kindle. Book excerpt: "New U.S. government requirements for exposing and managing federally funded research data add urgency to the call for curating data that can be used, reused, and exploited by future generations. The Open Data Imperative: How the Cultural Heritage Community Can Address the Federal Mandate, offers a series of recommendations to improve the open data infrastructure, engage a broad community of stakeholders to support the management of data as an asset, and expand collaboration that is vital to ensuring public access to data. In 2013, the U.S. government issued a mandate requiring federal agencies with annual research and development expenditures of more than $100 million to create plans for increasing access to federally funded scientific research, both as published articles and as data. These plans have significant implications for cultural heritage institutions in addressing the current deficit in the capacity to support the re-use of data over time and across generations of technology (digital curation) and in enabling collaboration based on shared infrastructure. The report's findings are drawn from three investigations: (1) an analysis of the plans of agencies subject to the federal mandate for open data; (2) interviews with staff of IMLS-supported projects that have developed model services and tools supporting data management; and (3) a survey of efforts to build capacity through continuing education programs and comprehensive workforce development."--Provided by publisher.

Download or read book The Data Imperative written by Henri Schildt and published by Oxford University Press. This book was released on 2020-10-27 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: Companies across all industries are engaging in digital transformation to harness the power of advanced information technologies. Building on interviews and diverse case studies, this book provides an in-depth look at how data and algorithms are reshaping management practices, organizational structures, corporate culture, and work roles. Henri Schildt develops a broad framework for understanding digitalization not as a technological change but as a new normative mind-set, here called 'the data imperative'. It describes the new managerial ideals that compel companies to pursue digital omniscience and omnipotence-abilities to represent and understand the world through real-time data flow and to control customer experiences, physical equipment, and workers with software. The efforts to complement and replace human expertise with data and smart algorithms are associated with shifts in strategic priorities, adoption of powerful modular architectures, new organizational structures, and the introduction of artificial intelligence into diverse work roles. Surveying the developments in management and the workplace, this book offers an integrative and balanced account of the on-going changes that will continue to affect everyone from executives and professionals to front-line workers.

Download or read book Digital Innovation Harnessing The Value Of Open Data written by Anne-laure Mention and published by World Scientific. This book was released on 2019-06-17 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: Digital innovation — involving the Internet, its content and ecosystems of global users — is a rapidly evolving way of creating strategic and societal value. The phenomenon of Open data is on the rise and transforming the fundamental nature of how many industries, companies and governments connect with each other and the end-users of products and services — from increased customer-centric innovations, to winning political campaigns, and managing public health concerns. Open data holds the promise of greater transparency, greater accountability and empowerment of stakeholders. Yet curating and publicly sharing data can be difficult, requires substantive investments in knowledge infrastructures and incentives to do so are not well understood. Who is driving and enabling the open data movement? What motivates organizations to release data and how are they using it to create value? What are the current challenges and how are they being mitigated? What are the decision-frames adopted for sharing data? What are the possible applications and lessons to be learnt from current practices? What is the role of organisational ingredients and culture as a catalyst for adopting and facilitating open data practices? What is the possible impact of semantic web application? By exploring the multiple dimensions of open data and the interplay of economic utility, governance, societal values of fairness and trust, this volume seeks to entice readers by providing evidence-based answers to these questions, among others. Readers are tempted to a progressively revealing and enlightening journey from the conceptualisation to cultural proliferation of the latest trends in knowledge management: open data.Digital Innovation: Harnessing the Value of Open Data draws on practical experiences, bringing together widely distributed and latest knowledge of open data practices as case studies from researchers, academics, industry leaders, policy advisors and practitioners. In exploring the economics and technology paradigms, data governance and management practices of digital-centric private and public organizations, this volume sheds light on why there exists a need to embrace open data, what is needed to optimize the value of open data in driving digital innovation and how it is being currently conceived. The book draws a thought-provoking conclusion on open data as a purpose-driven phenomenon, with its disparate applications in a world of where global convergence on information sharing, storing and management are increasingly becoming a norm.Related Link(s)

Download or read book The World of Open Data written by Yannis Charalabidis and published by Springer. This book was released on 2018-09-21 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses the latest developments in the field of open data. The opening of data by public organizations has the potential to improve the public sector, inspire business innovation, and establish transparency. With this potential comes unique challenges; these developments impact the operation of governments as well as their relationship with private sector enterprises and society. Changes at the technical, organizational, managerial, and political level are taking place, which, in turn, impact policy-making and traditional institutional structures. This book contributes to the systematic analysis and publication of cutting-edge methods, tools, and approaches for more efficient data sharing policies, practices, and further research. Topics discussed include an introduction to open data, the open data landscape, the open data life cycle, open data policies, organizational issues, interoperability, infrastructure, business models, open data portal evaluation, and research directions, best practices, and guidelines. Written to address different perspectives, this book will be of equal interest to students and researchers, ICT industry staff, practitioners, policy makers and public servants.

Download or read book The Future of Open Data written by Pamela Robinson and published by University of Ottawa Press. This book was released on 2022-05-24 with total page 209 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Future of Open Data flows from a multi-year Social Sciences and Humanities Research Council (SSHRC) Partnership Grant project that set out to explore open government geospatial data from an interdisciplinary perspective. Researchers on the grant adopted a critical social science perspective grounded in the imperative that the research should be relevant to government and civil society partners in the field. This book builds on the knowledge developed during the course of the grant and asks the question, “What is the future of open data?” The contributors’ insights into the future of open data combine observations from five years of research about the Canadian open data community with a critical perspective on what could and should happen as open data efforts evolve. Each of the chapters in this book addresses different issues and each is grounded in distinct disciplinary or interdisciplinary perspectives. The opening chapter reflects on the origins of open data in Canada and how it has progressed to the present date, taking into account how the Indigenous data sovereignty movement intersects with open data. A series of chapters address some of the pitfalls and opportunities of open data and consider how the changing data context may impact sources of open data, limits on open data, and even liability for open data. Another group of chapters considers new landscapes for open data, including open data in the global South, the data priorities of local governments, and the emerging context for rural open data.

Download or read book Open Innovation written by Henry William Chesbrough and published by Harvard Business Press. This book was released on 2006 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Based on the author's extensive field research, academic study, and professional experience, Open Innovation calls for revolutionary organizing principles for managing research and innovation. Through descriptions of the innovation processes of Xerox, IBM, Proctor & Gamble, and other firms, Henry Chesbrough shows you the principles of open innovation in practice."--BOOK JACKET.

Download or read book Open Data Exposed written by Bastiaan van Loenen and published by Springer. This book was released on 2018-10-25 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: The main objectives of this book are to expose key aspects that have a relevance when dealing with open data viewed from different perspectives and to provide appealing examples of how open data is implemented worldwide. The concept of open data as we know it today is the result of many different initiatives, both of a legislative and non-legislative nature, and promoted by a wide range of actors. Numerous regulatory antecedents to foster the concept of open data and embed it in national and international policy agendas have been undertaken on both sides of the Atlantic, as well as at a supranational level. The book highlights a number of the efforts made to promote open data in Europe, Asia and the United States. In addition to new insights, practical guidance and multiple disciplinary perspectives on open data, the book also addresses the transformation of current developments towards open data, which may be referred to as the democratisation of data. This book will support open data practitioners as well as open data scholars in their endeavours to promote open data implementation and research. Bastiaan van Loenen is associate professor and director of the Knowledge Centre Open Data at the Faculty of Architecture and The Built Environment of Delft University of Technology in the Netherlands, as is Glenn Vancauwenberghe, who is a post-doctoral researcher, and Joep Crompvoets is a professor at the Public Governance Institute of the KU Leuven in Belgium.

Download or read book The Data Governance Imperative written by Steve Sarsfield and published by IT Governance Publishing. This book was released on 2009-04-23 with total page 162 pages. Available in PDF, EPUB and Kindle. Book excerpt: This practical book covers both strategies and tactics around managing a data governance initiative to help make the most of your data.

Download or read book Open Data for Everybody written by Nathan Coyle and published by CRC Press. This book was released on 2024-06-14 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: What if I told you something that could empower our third sector and activists to enhance their capacity? From gathering evidence for funding tenders to campaigning for crucial social issues and much more? It's called open data, yet many in social action remain unaware of it. Primarily shaped by corporate entities, open data seems tailored only for technologists, alienating the third sector. But in reality, it's a powerful tool for social change, bolstering civil society, and creating resilient communities. This book argues a simple point: if open data and the digital aspects that support it aren't accessible to all, then what is the point of it? In an age where technology should be seen as a fundamental human right, it's time to rethink outreach. Deeply rooted in grassroots social activism, this book explores a journey that led to collaborations with governments globally, based on real hands-on work, aiming to democratize open data. Through narrative storytelling, we share insights, best practices, procedures, and community-driven approaches. Regardless of your skill set or organization size, from grassroots workers to third-sector professionals and government officers, join us to reshape the perception of open data, fostering change in neighborhoods. Open Data for Everybody: Using Open Data for Social Good is a love letter to open data's transformative power. To create solutions, understanding the problem is crucial. This book seeks to return control to the real experts—those living and working within our communities.

Download or read book The Data Librarian s Handbook written by Robin Rice and published by Facet Publishing. This book was released on 2016-12-20 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt: An insider’s guide to data librarianship packed full of practical examples and advice for any library and information professional learning to deal with data. Interest in data has been growing in recent years. Support for this peculiar class of digital information – its use, preservation and curation, and how to support researchers’ production and consumption of it in ever greater volumes to create new knowledge, is needed more than ever. Many librarians and information professionals are finding their working life is pulling them toward data support or research data management but lack the skills required. The Data Librarian’s Handbook, written by two data librarians with over 30 years’ combined experience, unpicks the everyday role of the data librarian and offers practical guidance on how to collect, curate and crunch data for economic, social and scientific purposes. With contemporary case studies from a range of institutions and disciplines, tips for best practice, study aids and links to key resources, this book is a must-read for all new entrants to the field, library and information students and working professionals. Key topics covered include: • the evolution of data libraries and data archives • handling data compared to other forms of information • managing and curating data to ensure effective use and longevity • how to incorporate data literacy into mainstream library instruction and information literacy training • how to develop an effective institutional research data management (RDM) policy and infrastructure • how to support and review a data management plan (DMP) for a project, a key requirement for most research funders • approaches for developing, managing and promoting data repositories • handling and sharing confidential or sensitive data • supporting open scholarship and open science, ensuring data are discoverable, accessible, intelligible and assessable. This title is for the practising data librarian, possibly new in their post with little experience of providing data support. It is also for managers and policy-makers, public service librarians, research data management coordinators and data support staff. It will also appeal to students and lecturers in iSchools and other library and information degree programmes where academic research support is taught.

Download or read book The Open Handbook of Linguistic Data Management written by Andrea L. Berez-Kroeker and published by MIT Press. This book was released on 2022-01-18 with total page 687 pages. Available in PDF, EPUB and Kindle. Book excerpt: A guide to principles and methods for the management, archiving, sharing, and citing of linguistic research data, especially digital data. "Doing language science" depends on collecting, transcribing, annotating, analyzing, storing, and sharing linguistic research data. This volume offers a guide to linguistic data management, engaging with current trends toward the transformation of linguistics into a more data-driven and reproducible scientific endeavor. It offers both principles and methods, presenting the conceptual foundations of linguistic data management and a series of case studies, each of which demonstrates a concrete application of abstract principles in a current practice. In part 1, contributors bring together knowledge from information science, archiving, and data stewardship relevant to linguistic data management. Topics covered include implementation principles, archiving data, finding and using datasets, and the valuation of time and effort involved in data management. Part 2 presents snapshots of practices across various subfields, with each chapter presenting a unique data management project with generalizable guidance for researchers. The Open Handbook of Linguistic Data Management is an essential addition to the toolkit of every linguist, guiding researchers toward making their data FAIR: Findable, Accessible, Interoperable, and Reusable.

Download or read book OECD e Government Studies The e Government Imperative written by OECD and published by OECD Publishing. This book was released on 2003-07-31 with total page 199 pages. Available in PDF, EPUB and Kindle. Book excerpt: E-Government is more about government than about “e”. This study explores the reasons for implementing e-government, the barriers to implementation, and how to implement.

Download or read book Big Data Imperatives written by Soumendra Mohanty and published by Apress. This book was released on 2013-08-23 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big Data Imperatives, focuses on resolving the key questions on everyone’s mind: Which data matters? Do you have enough data volume to justify the usage? How you want to process this amount of data? How long do you really need to keep it active for your analysis, marketing, and BI applications? Big data is emerging from the realm of one-off projects to mainstream business adoption; however, the real value of big data is not in the overwhelming size of it, but more in its effective use. This book addresses the following big data characteristics: Very large, distributed aggregations of loosely structured data – often incomplete and inaccessible Petabytes/Exabytes of data Millions/billions of people providing/contributing to the context behind the data Flat schema's with few complex interrelationships Involves time-stamped events Made up of incomplete data Includes connections between data elements that must be probabilistically inferred Big Data Imperatives explains 'what big data can do'. It can batch process millions and billions of records both unstructured and structured much faster and cheaper. Big data analytics provide a platform to merge all analysis which enables data analysis to be more accurate, well-rounded, reliable and focused on a specific business capability. Big Data Imperatives describes the complementary nature of traditional data warehouses and big-data analytics platforms and how they feed each other. This book aims to bring the big data and analytics realms together with a greater focus on architectures that leverage the scale and power of big data and the ability to integrate and apply analytics principles to data which earlier was not accessible. This book can also be used as a handbook for practitioners; helping them on methodology,technical architecture, analytics techniques and best practices. At the same time, this book intends to hold the interest of those new to big data and analytics by giving them a deep insight into the realm of big data.

Download or read book The State of Open Data written by Tim Davies and published by African Books Collective. This book was released on 2019-05-22 with total page 592 pages. Available in PDF, EPUB and Kindle. Book excerpt: Its been ten years since open data first broke onto the global stage. Over the past decade, thousands of programmes and projects around the world have worked to open data and use it to address a myriad of social and economic challenges. Meanwhile, issues related to data rights and privacy have moved to the centre of public and political discourse. As the open data movement enters a new phase in its evolution, shifting to target real-world problems and embed open data thinking into other existing or emerging communities of practice, big questions still remain. How will open data initiatives respond to new concerns about privacy, inclusion, and artificial intelligence? And what can we learn from the last decade in order to deliver impact where it is most needed? The State of Open Data brings together over 60 authors from around the world to address these questions and to take stock of the real progress made to date across sectors and around the world, uncovering the issues that will shape the future of open data in the years to come.

Download or read book Data Science Landscape written by Usha Mujoo Munshi and published by Springer. This book was released on 2018-03-01 with total page 343 pages. Available in PDF, EPUB and Kindle. Book excerpt: The edited volume deals with different contours of data science with special reference to data management for the research innovation landscape. The data is becoming pervasive in all spheres of human, economic and development activity. In this context, it is important to take stock of what is being done in the data management area and begin to prioritize, consider and formulate adoption of a formal data management system including citation protocols for use by research communities in different disciplines and also address various technical research issues. The volume, thus, focuses on some of these issues drawing typical examples from various domains. The idea of this work germinated from the two day workshop on “Big and Open Data – Evolving Data Science Standards and Citation Attribution Practices”, an international workshop, led by the ICSU-CODATA and attended by over 300 domain experts. The Workshop focused on two priority areas (i) Big and Open Data: Prioritizing, Addressing and Establishing Standards and Good Practices and (ii) Big and Open Data: Data Attribution and Citation Practices. This important international event was part of a worldwide initiative led by ICSU, and the CODATA-Data Citation Task Group. In all, there are 21 chapters (with 21st Chapter addressing four different core aspects) written by eminent researchers in the field which deal with key issues of S&T, institutional, financial, sustainability, legal, IPR, data protocols, community norms and others, that need attention related to data management practices and protocols, coordinate area activities, and promote common practices and standards of the research community globally. In addition to the aspects touched above, the national / international perspectives of data and its various contours have also been portrayed through case studies in this volume.

Download or read book Data for All written by John K. Thompson and published by Simon and Schuster. This book was released on 2023-08-08 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: Do you know what happens to your personal data when you are browsing, buying, or using apps? Discover how your data is harvested and exploited, and what you can do to access, delete, and monetize it. Data for All empowers everyone—from tech experts to the general public—to control how third parties use personal data. Read this eye-opening book to learn: The types of data you generate with every action, every day Where your data is stored, who controls it, and how much money they make from it How you can manage access and monetization of your own data Restricting data access to only companies and organizations you want to support The history of how we think about data, and why that is changing The new data ecosystem being built right now for your benefit The data you generate every day is the lifeblood of many large companies—and they make billions of dollars using it. In Data for All, bestselling author John K. Thompson outlines how this one-sided data economy is about to undergo a dramatic change. Thompson pulls back the curtain to reveal the true nature of data ownership, and how you can turn your data from a revenue stream for companies into a financial asset for your benefit. Foreword by Thomas H. Davenport. About the Technology Do you know what happens to your personal data when you’re browsing and buying? New global laws are turning the tide on companies who make billions from your clicks, searches, and likes. This eye-opening book provides an inspiring vision of how you can take back control of the data you generate every day. About the Book Data for All gives you a step-by-step plan to transform your relationship with data and start earning a “data dividend”—hundreds or thousands of dollars paid out simply for your online activities. You’ll learn how to oversee who accesses your data, how much different types of data are worth, and how to keep private details private. What’s Inside The types of data you generate with every action, every day How you can manage access and monetization of your own data The history of how we think about data, and why that is changing The new data ecosystem being built right now for your benefit About the Reader For anyone who is curious or concerned about how their data is used. No technical knowledge required. About the Author John K. Thompson is an international technology executive with over 37 years of experience in the fields of data, advanced analytics, and artificial intelligence. Table of Contents 1 A history of data 2 How data works today 3 You and your data 4 Trust 5 Privacy 6 Moving from Open Data to Our Data 7 Derived data, synthetic data, and analytics 8 Looking forward: What’s next for our data?

Download or read book Open Data Governance and Its Actors written by Maxat Kassen and published by Springer Nature. This book was released on 2022-01-28 with total page 173 pages. Available in PDF, EPUB and Kindle. Book excerpt: ​This book combines theoretical and practical knowledge about key actors and driving forces that help to initiate and advance open data governance. Using Finland and Sweden as case studies, it sheds light on the roles of key actors in the open data movement, enabling researchers to understand the key operational elements of data-driven governance. Examining the most salient manifestations of related networking activities, the motivations of stakeholders, and the political and socioeconomic readiness of the public, private and civic sectors to advance such policies, it will appeal to e-government experts, policymakers and political scientists, as well as academics and students of public administration, public policy, and open data governance.