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Author: Julie Nichols Publisher: Emerald Group Publishing ISBN: 1804556165 Category : Language Arts & Disciplines Languages : en Pages : 412
Book Description
The need for decolonizing mismanagement practices in galleries, libraries, archives, and museums, of First Nations peoples’ materials and knowledge has been widely recognised. Authors from Indigenous and non-Indigenous backgrounds powerfully challenge entrenched assumptions of knowledge capture and dissemination of the western academy.
Author: Julie Nichols Publisher: Emerald Group Publishing ISBN: 1804556165 Category : Language Arts & Disciplines Languages : en Pages : 412
Book Description
The need for decolonizing mismanagement practices in galleries, libraries, archives, and museums, of First Nations peoples’ materials and knowledge has been widely recognised. Authors from Indigenous and non-Indigenous backgrounds powerfully challenge entrenched assumptions of knowledge capture and dissemination of the western academy.
Author: Julie Nichols Publisher: Emerald Publishing Limited ISBN: 9781804556153 Category : Language Arts & Disciplines Languages : en Pages : 0
Book Description
The need for decolonizing mismanagement practices in galleries, libraries, archives, and museums, of First Nations peoples’ materials and knowledge has been widely recognised. Authors from Indigenous and non-Indigenous backgrounds powerfully challenge entrenched assumptions of knowledge capture and dissemination of the western academy.
Author: José María Cavanillas Publisher: Springer ISBN: 3319215698 Category : Computers Languages : en Pages : 303
Book Description
In this book readers will find technological discussions on the existing and emerging technologies across the different stages of the big data value chain. They will learn about legal aspects of big data, the social impact, and about education needs and requirements. And they will discover the business perspective and how big data technology can be exploited to deliver value within different sectors of the economy. The book is structured in four parts: Part I “The Big Data Opportunity” explores the value potential of big data with a particular focus on the European context. It also describes the legal, business and social dimensions that need to be addressed, and briefly introduces the European Commission’s BIG project. Part II “The Big Data Value Chain” details the complete big data lifecycle from a technical point of view, ranging from data acquisition, analysis, curation and storage, to data usage and exploitation. Next, Part III “Usage and Exploitation of Big Data” illustrates the value creation possibilities of big data applications in various sectors, including industry, healthcare, finance, energy, media and public services. Finally, Part IV “A Roadmap for Big Data Research” identifies and prioritizes the cross-sectorial requirements for big data research, and outlines the most urgent and challenging technological, economic, political and societal issues for big data in Europe. This compendium summarizes more than two years of work performed by a leading group of major European research centers and industries in the context of the BIG project. It brings together research findings, forecasts and estimates related to this challenging technological context that is becoming the major axis of the new digitally transformed business environment.
Author: Gillian Oliver Publisher: American Library Association ISBN: 0838913857 Category : Language Arts & Disciplines Languages : en Pages : 240
Book Description
As an in-depth explanation of the entire digital curation lifecycle, from creation to appraisal to preservation to organization/access to transformation, the first edition of this text set a benchmark for both thoroughness and clarity. Boasting the expert guidance of international authorities Oliver and Harvey, this revamped and expanded edition widens the scope to address continuing developments in the strategies, technological approaches, and activities that are part of this rapidly changing field. In addition to current practitioners, those pursuing a career as librarian, archivist, or records manager will find this definitive survey invaluable. Filled with up-to-date best practices, it covers such important topics as the scope and incentives of digital curation, detailing Digital Curation Centre’s (DCC) lifecycle model as well as the Data Curation Continuum; key requirements for digital curation, from description and representation to planning and collaboration;the value and utility of metadata;considering the needs of producers and consumers when creating an appraisal and selection policy for digital objects;the paradigm shift by institutions towards cloud computing and its impact on costs, storage, and other key aspects of digital curation;the quality and security of data;new and emerging data curation resources, including innovative digital repository software and digital forensics tools;mechanisms for sharing and reusing data, with expanded sections on open access, open data, and open standards initiatives; and processes to ensure that data are preserved and remain usable over time.Useful as both a teaching text and day-to-day working guide, this book outlines the essential concepts and techniques that are crucial to preserving the longevity of digital resources.
Author: Lisa R. Johnston Publisher: ISBN: 9780838988589 Category : Data curation in libraries Languages : en Pages : 285
Book Description
Data are becoming the proverbial coin of the digital realm: a research commodity that might purchase reputation credit in a disciplinary culture of data sharing, or buy transparency when faced with funding agency mandates or publisher scrutiny. Unlike most monetary systems, however, digital data can flow in all too great an abundance. Not only does this currency actually grow on trees, but it comes from animals, books, thoughts, and each of us! And that is what makes data curation so essential. The abundance of digital research data challenges library and information science professionals to harness this flow of information streaming from research discovery and scholarly pursuit and preserve the unique evidence for future use. Volume One of Curating Research Data explores the variety of reasons, motivations, and drivers for why data curation services are needed in the context of academic and disciplinary data repository efforts. Twelve chapters, divided into three parts, take an in-depth look at the complex practice of data curation as it emerges around us. Part I sets the stage for data curation by describing current policies, data sharing cultures, and collaborative efforts currently underway that impact potential services. Part II brings several key issues, such as cost recovery and marketing strategy, into focus for practitioners when considering how to put data curation services in action. Finally, Part III describes the full lifecycle of data by examining the ethical and practical reuse issues that data curation practitioners must consider as we strive to prepare data for the future. Digital data is ubiquitous and rapidly reshaping how scholarship progresses now and into the future. The information expertise of librarians can help ensure the resiliency of digital data, and the information it represents, by addressing how the meaning, integrity, and provenance of digital data generated by researchers today will be captured and conveyed to future researchers.
Author: Kasun Indrasiri Publisher: "O'Reilly Media, Inc." ISBN: 1492090689 Category : Computers Languages : en Pages : 314
Book Description
With the immense cost savings and scalability the cloud provides, the rationale for building cloud native applications is no longer in question. The real issue is how. With this practical guide, developers will learn about the most commonly used design patterns for building cloud native applications using APIs, data, events, and streams in both greenfield and brownfield development. You'll learn how to incrementally design, develop, and deploy large and effective cloud native applications that you can manage and maintain at scale with minimal cost, time, and effort. Authors Kasun Indrasiri and Sriskandarajah Suhothayan highlight use cases that effectively demonstrate the challenges you might encounter at each step. Learn the fundamentals of cloud native applications Explore key cloud native communication, connectivity, and composition patterns Learn decentralized data management techniques Use event-driven architecture to build distributed and scalable cloud native applications Explore the most commonly used patterns for API management and consumption Examine some of the tools and technologies you'll need for building cloud native systems
Author: Charles Wesley Bailey Publisher: CreateSpace ISBN: 9781477497692 Category : Archival materials Languages : en Pages : 0
Book Description
In a rapidly changing technological environment, the difficult task of ensuring long-term access to digital information is increasingly important. The Digital Curation Bibliography: Preservation and Stewardship of Scholarly Works presents over 665 English-language articles, books, and technical reports that are useful in understanding digital curation and preservation. This selective bibliography covers digital curation and preservation copyright issues, digital formats (e.g., data, media, and e-journals), metadata, models and policies, national and international efforts, projects and institutional implementations, research studies, services, strategies, and digital repository concerns. Most sources have been published from 2000 through 2011; however, a limited number of key sources published prior to 2000 are also included. The bibliography includes links to freely available versions of included works, such as e-prints and open access articles.
Author: Steven S. Skiena Publisher: Springer ISBN: 3319554441 Category : Computers Languages : en Pages : 445
Book Description
This engaging and clearly written textbook/reference provides a must-have introduction to the rapidly emerging interdisciplinary field of data science. It focuses on the principles fundamental to becoming a good data scientist and the key skills needed to build systems for collecting, analyzing, and interpreting data. The Data Science Design Manual is a source of practical insights that highlights what really matters in analyzing data, and provides an intuitive understanding of how these core concepts can be used. The book does not emphasize any particular programming language or suite of data-analysis tools, focusing instead on high-level discussion of important design principles. This easy-to-read text ideally serves the needs of undergraduate and early graduate students embarking on an “Introduction to Data Science” course. It reveals how this discipline sits at the intersection of statistics, computer science, and machine learning, with a distinct heft and character of its own. Practitioners in these and related fields will find this book perfect for self-study as well. Additional learning tools: Contains “War Stories,” offering perspectives on how data science applies in the real world Includes “Homework Problems,” providing a wide range of exercises and projects for self-study Provides a complete set of lecture slides and online video lectures at www.data-manual.com Provides “Take-Home Lessons,” emphasizing the big-picture concepts to learn from each chapter Recommends exciting “Kaggle Challenges” from the online platform Kaggle Highlights “False Starts,” revealing the subtle reasons why certain approaches fail Offers examples taken from the data science television show “The Quant Shop” (www.quant-shop.com)
Author: Julie Nichols
Author: Julie Nichols
Author: Julie Nichols
Author: José María Cavanillas
Author: Gillian Oliver 
Author: Lisa R. Johnston
Author: Kasun Indrasiri
Author: Charles Wesley Bailey
Author: American Anthropological Association
Author: American Anthropological Association
Author: Steven S. Skiena