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The State of Open Data

The State of Open Data
Author: Davies, Tim
Publisher: African Minds
Total Pages: 590
Release: 2019-05-22
Genre: Social Science
ISBN: 1928331955

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It’s 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.


Open Data Now: The Secret to Hot Startups, Smart Investing, Savvy Marketing, and Fast Innovation

Open Data Now: The Secret to Hot Startups, Smart Investing, Savvy Marketing, and Fast Innovation
Author: Joel Gurin
Publisher: McGraw Hill Professional
Total Pages: 351
Release: 2014-01-10
Genre: Business & Economics
ISBN: 0071829784

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Get unprecedented access to thousands of databases. It's called Open Data, and it's revolutionizing business. The business leader’s guide to using Open Data to analyze patterns and trends, manage risk, solve problems—and seize the competitive edge Two major trends—the exponential growth of digital data and an emerging culture of disclosure and transparency—have converged to create a world where voluminous information about businesses, government, and the population is becoming visible, accessible, and usable. It’s called Open Data, and this book helps leaders harness its power to market and grow their companies. Open Data Now gives you the knowledge and tools to take advantage of this phenomenon in its early stages—and beat the competition to leveraging its many benefits. Joel Gurin is an expert on making complex data sets useful in solving consumer problems, analyzing corporate information, and addressing social issues. He has collaborated with leaders in data, technology, and policy in the U.S. and UK governments, including officials in the White House and 10 Downing Street and at more than 20 U.S. federal agencies.


Open Data Structures

Open Data Structures
Author: Pat Morin
Publisher: Athabasca University Press
Total Pages: 336
Release: 2013
Genre: Computers
ISBN: 1927356385

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Introduction -- Array-based lists -- Linked lists -- Skiplists -- Hash tables -- Binary trees -- Random binary search trees -- Scapegoat trees -- Red-black trees -- Heaps -- Sorting algorithms -- Graphs -- Data structures for integers -- External memory searching.


Open Heritage Data

Open Heritage Data
Author: Henriette Roued-Cunliffe
Publisher: Facet Publishing
Total Pages: 176
Release: 2020-06-30
Genre: Language Arts & Disciplines
ISBN: 178330359X

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Digital heritage can mean many things, from building a database on Egyptian textiles to interacting with family historians over Facebook. However, it is rare to see professionals with a heritage background working practically with the heritage datasets in their charge. Many institutions who have the resources to do so, leave this work to computer programmers, missing the opportunity to share their knowledge and passion for heritage through innovative technology. Open Heritage Data: An introduction to research, publishing and programming with open data in the heritage sector has been written for practitioners, researchers and students working in the GLAM (Galleries, Libraries, Archives and Museums) sector who do not have a computer science background, but who want to work more confidently with heritage data. It combines current research in open data with the author’s extensive experience in coding and teaching coding to provide a step-by-step guide to working actively with the increasing amounts of data available. Coverage includes: • an introduction to open data as a next step in heritage mediation • an overview of the laws most relevant to open heritage data • an Open Heritage Data Model and examples of how institutions publish heritage data • an exploration of use and reuse of heritage data • tutorials on visualising and combining heritage datasets and on using heritage data for research. Featuring sample code, case examples from around the world and step-by-step technical tutorials, this book will be a valuable resource for anyone in the GLAM sector involved in, or who wants to be involved in creating, publishing, using and reusing open heritage data.


Development of Linguistic Linked Open Data Resources for Collaborative Data-Intensive Research in the Language Sciences

Development of Linguistic Linked Open Data Resources for Collaborative Data-Intensive Research in the Language Sciences
Author: Antonio Pareja-Lora
Publisher: MIT Press
Total Pages: 273
Release: 2020-01-07
Genre: Language Arts & Disciplines
ISBN: 0262536250

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Making diverse data in linguistics and the language sciences open, distributed, and accessible: perspectives from language/language acquistiion researchers and technical LOD (linked open data) researchers. This volume examines the challenges inherent in making diverse data in linguistics and the language sciences open, distributed, integrated, and accessible, thus fostering wide data sharing and collaboration. It is unique in integrating the perspectives of language researchers and technical LOD (linked open data) researchers. Reporting on both active research needs in the field of language acquisition and technical advances in the development of data interoperability, the book demonstrates the advantages of an international infrastructure for scholarship in the field of language sciences. With contributions by researchers who produce complex data content and scholars involved in both the technology and the conceptual foundations of LLOD (linguistics linked open data), the book focuses on the area of language acquisition because it involves complex and diverse data sets, cross-linguistic analyses, and urgent collaborative research. The contributors discuss a variety of research methods, resources, and infrastructures. Contributors Isabelle Barrière, Nan Bernstein Ratner, Steven Bird, Maria Blume, Ted Caldwell, Christian Chiarcos, Cristina Dye, Suzanne Flynn, Claire Foley, Nancy Ide, Carissa Kang, D. Terence Langendoen, Barbara Lust, Brian MacWhinney, Jonathan Masci, Steven Moran, Antonio Pareja-Lora, Jim Reidy, Oya Y. Rieger, Gary F. Simons, Thorsten Trippel, Kara Warburton, Sue Ellen Wright, Claus Zinn


Open Data Exposed

Open Data Exposed
Author: Bastiaan van Loenen
Publisher: Springer
Total Pages: 288
Release: 2018-10-25
Genre: Law
ISBN: 9462652619

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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.


The Data Revolution

The Data Revolution
Author: Rob Kitchin
Publisher: SAGE
Total Pages: 241
Release: 2014-09-16
Genre: Social Science
ISBN: 1473908264

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"Carefully distinguishing between big data and open data, and exploring various data infrastructures, Kitchin vividly illustrates how the data landscape is rapidly changing and calls for a revolution in how we think about data." - Evelyn Ruppert, Goldsmiths, University of London "Deconstructs the hype around the ‘data revolution’ to carefully guide us through the histories and the futures of ‘big data.’ The book skilfully engages with debates from across the humanities, social sciences, and sciences in order to produce a critical account of how data are enmeshed into enormous social, economic, and political changes that are taking place." - Mark Graham, University of Oxford Traditionally, data has been a scarce commodity which, given its value, has been either jealously guarded or expensively traded. In recent years, technological developments and political lobbying have turned this position on its head. Data now flow as a deep and wide torrent, are low in cost and supported by robust infrastructures, and are increasingly open and accessible. A data revolution is underway, one that is already reshaping how knowledge is produced, business conducted, and governance enacted, as well as raising many questions concerning surveillance, privacy, security, profiling, social sorting, and intellectual property rights. In contrast to the hype and hubris of much media and business coverage, The Data Revolution provides a synoptic and critical analysis of the emerging data landscape. Accessible in style, the book provides: A synoptic overview of big data, open data and data infrastructures An introduction to thinking conceptually about data, data infrastructures, data analytics and data markets Acritical discussion of the technical shortcomings and the social, political and ethical consequences of the data revolution An analysis of the implications of the data revolution to academic, business and government practices


Data Feminism

Data Feminism
Author: Catherine D'Ignazio
Publisher: MIT Press
Total Pages: 328
Release: 2020-03-31
Genre: Social Science
ISBN: 0262358530

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A new way of thinking about data science and data ethics that is informed by the ideas of intersectional feminism. Today, data science is a form of power. It has been used to expose injustice, improve health outcomes, and topple governments. But it has also been used to discriminate, police, and surveil. This potential for good, on the one hand, and harm, on the other, makes it essential to ask: Data science by whom? Data science for whom? Data science with whose interests in mind? The narratives around big data and data science are overwhelmingly white, male, and techno-heroic. In Data Feminism, Catherine D'Ignazio and Lauren Klein present a new way of thinking about data science and data ethics—one that is informed by intersectional feminist thought. Illustrating data feminism in action, D'Ignazio and Klein show how challenges to the male/female binary can help challenge other hierarchical (and empirically wrong) classification systems. They explain how, for example, an understanding of emotion can expand our ideas about effective data visualization, and how the concept of invisible labor can expose the significant human efforts required by our automated systems. And they show why the data never, ever “speak for themselves.” Data Feminism offers strategies for data scientists seeking to learn how feminism can help them work toward justice, and for feminists who want to focus their efforts on the growing field of data science. But Data Feminism is about much more than gender. It is about power, about who has it and who doesn't, and about how those differentials of power can be challenged and changed.


The World of Open Data

The World of Open Data
Author: Yannis Charalabidis
Publisher: Springer
Total Pages: 229
Release: 2018-09-21
Genre: Law
ISBN: 3319908502

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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.


Open Data in Southeast Asia

Open Data in Southeast Asia
Author: Manuel Stagars
Publisher: Springer
Total Pages: 212
Release: 2016-06-27
Genre: Business & Economics
ISBN: 3319321706

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This book explores the power of greater openness, accountability, and transparency in digital information and government data for the nations of Southeast Asia. The author demonstrates that, although the term “open data” seems to be self-explanatory, it involves an evolving ecosystem of complex domains. Through empirical case studies, this book explains how governments in the ASEAN may harvest the benefits of open data to maximize their productivity, efficiency and innovation. The book also investigates how increasing digital divides in the population, boundaries to civil society, and shortfalls in civil and political rights threaten to arrest open data in early development, which may hamper post-2015 development agendas in the region. With robust open data policies and clear roadmaps, member states of the ASEAN can harvest the promising opportunities of open data in their particular developmental, institutional and legal settings. Governments, policy makers, entrepreneurs and academics will gain a clearer understanding of the factors that enable open data from this timely research.