Exploring research data management, Cox, Andrew Verbaan, Eddy
Автор: Cox, Andrew Verbaan, Eddy Название: Exploring research data management ISBN: 1783302798 ISBN-13(EAN): 9781783302796 Издательство: Facet Рейтинг: Цена: 176000.00 T Наличие на складе: Невозможна поставка. Описание: Exploring Research Data Management is an accessible introduction to RDM with engaging tasks for the reader to follow and build their knowledge. It will be useful reading for all students studying librarianship and information management.
Автор: Pedro Isaias, Miguel Baptista Nunes Название: Information Systems Research and Exploring Social Artifacts: Approaches and Methodologies ISBN: 1466624914 ISBN-13(EAN): 9781466624917 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 170010.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Centred on the impact of information and communication technology in socio-technical environments and its support of human activity systems, the study of information systems remains a distinctive focus in the area of computer science research. This title discusses the approaches and methodologies currently being used in the field on information systems.
Автор: Jamie D. Riggs Название: Handbook for Applied Modeling: Non-Gaussian and Correlated Data ISBN: 1316601056 ISBN-13(EAN): 9781316601051 Издательство: Cambridge Academ Рейтинг: Цена: 40130.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Designed for the applied practitioner, this book is a compact, entry-level guide to modeling and analyzing data that fail idealized assumptions. It explains and demonstrates core techniques, common pitfalls and data issues, and interpretation of model results, all with a focus on application, utility, and real-life data.
Автор: Ray Joyce M Название: Research Data Management ISBN: 1557536643 ISBN-13(EAN): 9781557536648 Издательство: Turpin Рейтинг: Цена: 31970.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: 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 maximise 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. 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. Contributors include: James L. Mullins, Purdue University; MacKenzie Smith, University of California at Davis; Sherry Lake, University of Virginia; Bernard Reilly, Center for Research Libraries; Jacob Carlson, Purdue University; Melissa Levine, University of Michigan; Jenn Riley, University of North Carolina at Chapel Hill; Jan Brase, German National Library of Science and Technology; Seamus Ross, University of Toronto; Michele Kimpton, DuraSpace; Brian Schottlaender, University of California, San Diego; Suzie Allard, University of Tennessee; Angus Whyte, Digital Curation Centre; Scott Brandt, Purdue University; Brian Westra, University of Oregon; Geneva Henry, Rice University; Gail Steinhart, Cornell University; and Cliff Lynch, Coalition for Networked Information.
Автор: Graham Shawn Et Al Название: Exploring Big Historical Data: The Historian`S Macroscope ISBN: 1783266376 ISBN-13(EAN): 9781783266371 Издательство: World Scientific Publishing Рейтинг: Цена: 33790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The Digital Humanities have arrived at a moment when digital Big Data is becoming more readily available, opening exciting new avenues of inquiry but also new challenges. This pioneering book describes and demonstrates the ways these data can be explored to construct cultural heritage knowledge, for research and in teaching and learning. It helps humanities scholars to grasp Big Data in order to do their work, whether that means understanding the underlying algorithms at work in search engines, or designing and using their own tools to process large amounts of information.Demonstrating what digital tools have to offer and also what 'digital' does to how we understand the past, the authors introduce the many different tools and developing approaches in Big Data for historical and humanistic scholarship, show how to use them, what to be wary of, and discuss the kinds of questions and new perspectives this new macroscopic perspective opens up. Authored 'live' online with ongoing feedback from the wider digital history community, Exploring Big Historical Data breaks new ground and sets the direction for the conversation into the future. It represents the current state-of-the-art thinking in the field and exemplifies the way that digital work can enhance public engagement in the humanities.Exploring Big Historical Data should be the go-to resource for undergraduate and graduate students confronted by a vast corpus of data, and researchers encountering these methods for the first time. It will also offer a helping hand to the interested individual seeking to make sense of genealogical data or digitized newspapers, and even the local historical society who are trying to see the value in digitizing their holdings.The companion website to Exploring Big Historical Data can be found at www.themacroscope.org/. On this site you will find code, a discussion forum, essays, and datafiles that accompany this book.
Автор: Graham Shawn Et Al Название: Exploring Big Historical Data: The Historian`S Macroscope ISBN: 1783266082 ISBN-13(EAN): 9781783266081 Издательство: World Scientific Publishing Рейтинг: Цена: 85530.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The Digital Humanities have arrived at a moment when digital Big Data is becoming more readily available, opening exciting new avenues of inquiry but also new challenges. This pioneering book describes and demonstrates the ways these data can be explored to construct cultural heritage knowledge, for research and in teaching and learning. It helps humanities scholars to grasp Big Data in order to do their work, whether that means understanding the underlying algorithms at work in search engines, or designing and using their own tools to process large amounts of information.Demonstrating what digital tools have to offer and also what 'digital' does to how we understand the past, the authors introduce the many different tools and developing approaches in Big Data for historical and humanistic scholarship, show how to use them, what to be wary of, and discuss the kinds of questions and new perspectives this new macroscopic perspective opens up. Authored 'live' online with ongoing feedback from the wider digital history community, Exploring Big Historical Data breaks new ground and sets the direction for the conversation into the future. It represents the current state-of-the-art thinking in the field and exemplifies the way that digital work can enhance public engagement in the humanities.Exploring Big Historical Data should be the go-to resource for undergraduate and graduate students confronted by a vast corpus of data, and researchers encountering these methods for the first time. It will also offer a helping hand to the interested individual seeking to make sense of genealogical data or digitized newspapers, and even the local historical society who are trying to see the value in digitizing their holdings.The companion website to Exploring Big Historical Data can be found at www.themacroscope.org/. On this site you will find code, a discussion forum, essays, and datafiles that accompany this book.
Автор: Guillermo Navarro-Arribas; Vicen? Torra Название: Advanced Research in Data Privacy ISBN: 3319098845 ISBN-13(EAN): 9783319098845 Издательство: Springer Рейтинг: Цена: 148020.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book provides an overview of the research work on data privacy and privacy enhancing technologies carried by the participants of the ARES project.
Автор: Guillermo Navarro-Arribas; Vicen? Torra Название: Advanced Research in Data Privacy ISBN: 3319359916 ISBN-13(EAN): 9783319359915 Издательство: Springer Рейтинг: Цена: 121890.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book provides an overview of the research work on data privacy and privacy enhancing technologies carried by the participants of the ARES project.
Автор: Meredith Zozus Название: The Data Book: Collection and Management of Research Data ISBN: 1498742246 ISBN-13(EAN): 9781498742245 Издательство: Taylor&Francis Рейтинг: Цена: 83690.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book fills a gap by covering the principles of data and information essential for every researcher. These topics are firmly planted in existing graduate curricula, and covered in the research methods courses required of most master`s level programs, yet a comprehensive and authoritative text did not exist until now.
Автор: Saltz Jeffrey S., Stanton Jeffrey M. Название: An Introduction to Data Science ISBN: 150637753X ISBN-13(EAN): 9781506377537 Издательство: Sage Publications Рейтинг: Цена: 88710.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: An Introduction to Data Science is an easy-to-read data science textbook for those with no prior coding knowledge. It features exercises at the end of each chapter, author-generated tables and visualizations, and R code examples throughout.
Название: Interviewers` deviations in surveys ISBN: 3631637152 ISBN-13(EAN): 9783631637159 Издательство: Peter Lang Рейтинг: Цена: 71210.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Survey data are used in many disciplines from Social Sciences to Economics. But might interviewers` behaviour affect the quality of such data? This book presents the results of new research on interviewers` motivation and behaviour. A number of contributions address deviant behaviour and methods for assessing the impact of such behaviour on data.
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