XML for data management by
XML in Data Management is for IT managers and technical staff involved in the creation, administration, or maintenance of a data management infrastructure that includes XML. For most IT staff, XML is either just a buzzword that is ignored or a silver bullet to be used in every nook and cranny of their organization. The truth is in between the two. This book provides the guidance necessary for data managers to make measured decisions about XML within their organizations. Readers will understand the uses of XML, its component architecture, its strategic implications, and how these apply to data
Principles of Data Management by
Data is a valuable corporate asset and its effective management is vital to success. This professional guide covers all the key areas of data management, including database development and corporate data modelling. The new edition adds chapters on linked data, concept systems and big data and artificial intelligence.
Principles of Data Management and Presentation by
The world is saturated with data. We are regularly presented with data in words, tables, and graphics. Students from many academic fields are now expected to be educated about data in one form or another. Yet the typical sequence of courses-introductory statistics and research methods-does not provide sufficient information about how to focus in on a research question, how to access data and work with datasets, or how to present data to various audiences. Principles of Data Management and Presentation addresses this gap. Assuming only that students have some familiarity with basic statistics and research methods, it provides a comprehensive set of principles for understanding and using data as part of a research project, including: • how to narrow a research topic to a specific research question • how to access and organize data that are useful for answering a research question • how to use software such as Stata, SPSS, and SAS to manage data • how to present data so that they convey a clear and effective message A companion website includes material to enhance the learning experience-specifically statistical software code and the datasets used in the examples, in text format as well as Stata, SPSS, and SAS formats. Visit www.ucpress.edu/go/datamanagement, Downloads tab.
Web data management by
The Internet and World Wide Web have revolutionized access to information. Users now store information across multiple platforms from personal computers to smartphones and websites. As a consequence, data management concepts, methods and techniques are increasingly focused on distribution concerns. Now that information largely resides in the network, so do the tools that process this information. This book explains the foundations of XML with a focus on data distribution. It covers the many facets of distributed data management on the Web, such as description logics, that are already emerging in today's data integration applications and herald tomorrow's semantic Web. It also introduces the machinery used to manipulate the unprecedented amount of data collected on the Web. Several 'Putting into Practice' chapters describe detailed practical applications of the technologies and techniques. The book will serve as an introduction to the new, global, information systems for Web professionals and master's level courses.
Data management for multimedia retrieval by
"This comprehensive textbook presents data structures and algorithms for storing, indexing, clustering, classifying, and accessing common multimedia data representations"--Provided by publisher.
"Multimedia data require specialized management techniques because the representations of color, time, semantic concepts, and other underlying information can be drastically different from one another. The user's subjective judgment can also have significant impact on what data or features are relevant in a given context. These factors affect both the performance of the retrieval algorithms and their effectiveness. This textbook on multimedia data management techniques offers a unified perspective on retrieval efficiency and effectiveness. It provides a comprehensive treatment, from basic to advanced concepts, that will be useful to readers of different levels, from advanced undergraduate and graduate students to researchers and to professionals"
Research Data Management - a European Perspective by
Based on case studies this book offers an insight in various European activities and practices in data management and their interaction with policies and programs. The latter form the background for the following case studies, provide the conceptual framework, at the same time giving an exhaustive understanding of the specific subjects. The case studies share common themes and give a concrete insight into vital issues such as web archiving, digitization of analog archives, researchers' motivations for sharing data, and how libraries, archives and researchers can collaborate in creating research tools and services.
Journal of the Society for Clinical Data Management.
Society for Clinical Data Management, publisher.
2021-
Direct URL : https://usmai-msu.primo.exlibrisgroup.com/permalink/01USMAI_MSU/jong90/alma9963802808508251
IEEE International Conference on Mobile Data Management : MDM : [proceedings].
2002 -
Direct URL : https://usmai-msu.primo.exlibrisgroup.com/permalink/01USMAI_MSU/jong90/alma9963798201608251
Journal of database management an official publication of the International Data Management Institute of the Information Resources Management Association.
IGI Global.; Information Resources Management Association. International Data Management Institute.
c1992-
Direct URL : https://usmai-msu.primo.exlibrisgroup.com/permalink/01USMAI_MSU/jong90/alma990047207030108251
