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• Dedication List of Illustrations Preface Acknowledgments
• Chapter 1. What is Data and Why Should Librarians be Involved?
• Chapter 2. Understanding Research and the Role of Data
• Chapter 3. Best Practices for Working with Research Data
• Chapter 4. Data Interviews
• Chapter 5. Storing, Curating, and Preserving Data
• Chapter 6. Documentation and Metadata
• Chapter 7. Publishing and Sharing Data
• Chapter 8. Writing Data Management Plans
• Chapter 9. Starting Data Management Services
• Chapter 10. Leveraging Partnerships
• Chapter 11. Expanding RDM Service
• Chapter 12. Teaching Data
• Chapter 13. Reusing Data
• Chapter 14. Data Management Roles for Librarians A Glossary of Data and Data Management Terms Index About the Author.
• (source: Nielsen Book Data)

Libraries organize information and data is information, so it is natural that librarians should help people who need to find, organize, use, or store data. Organizations need evidence for decision making; data provides that evidence. Inventors and creators build upon data collected by others. All around us, people need data. Librarians can help increase the relevance of their library to the research and education mission of their institution by learning more about data and how to manage it. Data Management will guide readers through: 1.Understanding data management basics and best practices. 2.Using the reference interview to help with data management 3.Writing data management plans for grants. 4.Starting and growing a data management service. 5.Finding collaborators inside and outside the library. 6.Collecting and using data in different disciplines.
(source: Nielsen Book Data)

• Dedication List of Illustrations Preface Acknowledgments
• Chapter 1. What is Data and Why Should Librarians be Involved?
• Chapter 2. Understanding Research and the Role of Data
• Chapter 3. Best Practices for Working with Research Data
• Chapter 4. Data Interviews
• Chapter 5. Storing, Curating, and Preserving Data
• Chapter 6. Documentation and Metadata
• Chapter 7. Publishing and Sharing Data
• Chapter 8. Writing Data Management Plans
• Chapter 9. Starting Data Management Services
• Chapter 10. Leveraging Partnerships
• Chapter 11. Expanding RDM Service
• Chapter 12. Teaching Data
• Chapter 13. Reusing Data
• Chapter 14. Data Management Roles for Librarians A Glossary of Data and Data Management Terms Index About the Author.
• (source: Nielsen Book Data)

Libraries organize information and data is information, so it is natural that librarians should help people who need to find, organize, use, or store data. Organizations need evidence for decision making; data provides that evidence. Inventors and creators build upon data collected by others. All around us, people need data. Librarians can help increase the relevance of their library to the research and education mission of their institution by learning more about data and how to manage it. Data Management will guide readers through: 1.Understanding data management basics and best practices. 2.Using the reference interview to help with data management 3.Writing data management plans for grants. 4.Starting and growing a data management service. 5.Finding collaborators inside and outside the library. 6.Collecting and using data in different disciplines.
(source: Nielsen Book Data)

Implement and manage your software-defined, massively scalable storage system About This Book * Explore Ceph's architecture in order to achieve scalability and high availability * Learn to utilize Ceph efficiently with the help of practical examples * Successfully implement Ceph clusters to scale-out storage solutions along with outstanding data protection Who This Book Is For A basic knowledge of GNU/Linux, and storage systems, and server components is assumed. If you have no experience of software-defined storage solutions and Ceph, but are eager to learn about them, this is the book for you. What You Will Learn * The limitations of existing systems and why you should use Ceph as a storage solution * Familiarity with Ceph's architecture, components, and services * Instant deployment and testing of Ceph within a Vagrant and VirtualBox environment * Ceph operations including maintenance, monitoring, and troubleshooting * Storage provisioning of Ceph's block, object, and filesystem services * Integrate Ceph with OpenStack * Advanced topics including erasure coding, CRUSH maps, and performance tuning * Best practices for your Ceph clusters In Detail Learning Ceph, Second Edition will give you all the skills you need to plan, deploy, and effectively manage your Ceph cluster. You will begin with the first module, where you will be introduced to Ceph use cases, its architecture, and core projects. In the next module, you will learn to set up a test cluster, using Ceph clusters and hardware selection. After you have learned to use Ceph clusters, the next module will teach you how to monitor cluster health, improve performance, and troubleshoot any issues that arise. In the last module, you will learn to integrate Ceph with other tools such as OpenStack, Glance, Manila, Swift, and Cinder. By the end of the book you will have learned to use Ceph effectively for your data storage requirements. Style and approach This step-by-step guide, including use cases and examples, not only helps you to easily use Ceph but also demonstrates how you can use it to solve any of your server or drive storage issues.
(source: Nielsen Book Data)

Widespread application of magnetic tunnel junctions (MTJs) for information storage has so far been limited by the complicated interplay between tunnel magnetoresistance (TMR) ratio and the product of resistance and junction area (RA). An intricate connection exists between TMR ratio, RA value and the bandgap and crystal structure of the barrier, a connection that must be unravelled to optimise device performance and enable further applications to be developed. In this paper, we demonstrate a novel method to tailor the bandgap of an ultrathin, epitaxial Zn-doped MgO tunnel barrier with rocksalt structure. This structure is attractive due to its good Δ₁ spin filtering effect, and we show that MTJs based on tunable MgZnO barriers allow effective balancing of TMR ratio and RA value. Finally, in this way spin-dependent transport properties can be controlled, a key challenge for the development of spintronic devices.

• GENERAL Information Systems-- E. Burton Swanson Information Retrieval Systems-- Ray R. Larson Information Searching and Search Models-- Iris Xie User-Oriented and Cognitive Models of Information Retrieval-- Kalervo Jarvelin and Peter Ingwersen User-Centered Design of Information Systems-- Elaine G. Toms Ethical Issues in Information Systems-- Vladimir Zwass Careers and Education in Information Systems-- Paul Gray and Lorne Olfman
• MANAGEMENT OF INFORMATION RETRIEVAL SYSTEMS Knowledge Management-- Kimiz Dalkir Information Management-- Brian Detlor Digital Asset Management-- James E.P. Currall and Michael S. Moss Network Management-- Robert J. Sandusky Management of Very Large Distributed Shared Collections-- Reagan W. Moore Search Engine Optimization-- Nicholas Carroll Records Compliance and Risk Management-- Bradley J. Wiles Version Control-- Jill E. Grogg and Jeff Weddle Digital Content Licensing-- Paul D. Callister and Kathleen Hall Piracy in Digital Media-- Stephanie Walker Information Storage Technologies-- Scott L. Klingler Electronic Records Preservation-- Robert P. Spindler Data and Data Quality-- Thomas C. Redman, Christopher Fox, and Anany Levitin Information Systems Failure-- Chris Sauer and Gordon B. Davis
• TYPES OF INFORMATION RETRIEVAL SYSTEMS Search Engines-- Randolph Hock Web Retrieval and Mining-- Carlos Castillo and Ricardo Baeza-Yates Semantic Web-- Kieron O'Hara and Wendy Hall XML Information Retrieval-- Mounia Lalmas Information Retrieval Support Systems-- Yiyu Yao, Ning Zhong, and Yi Zeng Multilingual Information Access-- Douglas W. Oard Still Image Search and Retrieval-- Vittorio Castelli Music Information Retrieval-- Kjell Lemstrom and George Tzanetakis Web Social Mining-- Hady W. Lauw and Ee-Peng Lim Recommender Systems and Expert Locators-- Derek L. Hansen, Tapan Khopkar, and Jun Zhang Knowledge Management Systems-- Dick Stenmark Decision Support Systems-- Marek J. Druzdzel and Roger R. Flynn Collaborative Systems and Groupware-- David Jank Geographic Information Systems (GIS)-- Timothy F. Leslie and Nigel M. Waters Clinical Decision-Support Systems-- Kai Zheng Integrated Library Systems (ILS)-- Emily Gallup Fayen Online Public Access Catalogs (OPACs)-- Kevin Butterfield Internet Filtering Software and Its Effects-- Lynn Sutton Personal Bibliographic Systems (PBS)-- Dirk Schoonbaert and Victor Rosenberg Collection Management Systems-- Perian Sully Interactive Multimedia in Museums-- Nik Honeysett Museum Web Sites and Digital Collections-- David Bearman and Jennifer Trant STANDARDS FOR INFORMATION RETRIEVAL SYSTEMS Digital Object Identifier (DOI(R)) System-- Norman Paskin Data Transmission Protocols-- Chuan Heng Foh Information Retrieval Protocols: Z39.50 and Search & Retrieve via URL-- William Moen Extensible Markup Language (XML)-- Kevin S. Clarke Resource Description Framework (RDF)-- Nicholas Gibbins and Nigel Shadbolt Text Encoding Initiative (TEI)-- Edward Vanhoutte and Ron Van den Branden Encoded Archival Description (EAD)-- Daniel V. Pitti Open Archival Information System (OAIS) Reference Model-- Christopher A. Lee.
• (source: Nielsen Book Data)

In order to be effective for their users, information retrieval (IR) systems should be adapted to the specific needs of particular environments. The huge and growing array of types of information retrieval systems in use today is on display in Understanding Information Retrieval Systems: Management, Types, and Standards, which addresses over 20 types of IR systems. These various system types, in turn, present both technical and management challenges, which are also addressed in this volume. In order to be interoperable in a networked environment, IR systems must be able to use various types of technical standards, a number of which are described in this book-often by their original developers. The book covers the full context of operational IR systems, addressing not only the systems themselves but also human user search behaviors, user-centered design, and management and policy issues. In addition to theory and practice of IR system design, the book covers Web standards and protocols, the Semantic Web, XML information retrieval, Web social mining, search engine optimization, specialized museum and library online access, records compliance and risk management, information storage technology, geographic information systems, and data transmission protocols. Emphasis is given to information systems that operate on relatively unstructured data, such as text, images, and music. The book is organized into four parts: * Part I supplies a broad-level introduction to information systems and information retrieval systems * Part II examines key management issues and elaborates on the decision process around likely information system solutions * Part III illustrates the range of information retrieval systems in use today discussing the technical, operational, and administrative issues for each type * Part IV discusses the most important organizational and technical standards needed for successful information retrieval This volume brings together authoritative articles on the different types of information systems and how to manage real-world demands such as digital asset management, network management, digital content licensing, data quality, and information system failures. It explains how to design systems to address human characteristics and considers key policy and ethical issues such as piracy and preservation. Focusing on web-based systems, the chapters in this book provide an excellent starting point for developing and managing your own IR systems.
(source: Nielsen Book Data)

• Overview and introduction
• basic data quality
• scientific data quality
• evaluating theories
• solving problems with a SIS
• modelling static structures
• dynamic modelling based on states and events
• dynamic modelling based on functions
• personnel selection and evaluation with a SIS
• personal training with a SIS
• analyzing the job context
• information management.
• (source: Nielsen Book Data)

This work discusses a synthesis that blends scientific methods with the broad capabilities of computer database information systems. It should aid anyone who is trying to explain, predict or change the behavour of a complex system involving humans. This blend has been developed from research in the aviation industry, but the principles and methods can be broadly applied to other areas. Since the original work was in the aviation domain, many of the specific examples have aviation content. The scientific issues, however, are universal.
(source: Nielsen Book Data)

• Introduction. Data, Information, and Knowledge. Representation of Information. Attribute Content and Values. Models of Virtual Data Structure. The Physical Structure of Data. Querying the Information Retrieval System. Interpretation and Execution of Query Statements. Text Searching. System-Computed Relevance and Ranking. Search Feedback and Iteration. Multi-Database Searching and Mapping. Search Strategy. The Information Retrieval System Interface. A Sampling of Information Retrieval Systems. Measurement and Evaluation. Bibliography. Subject Index.
• (source: Nielsen Book Data)

Information retrieval is a communication process that links the information user to a librarian, museum curator, fingerprint identification specialist, or whoever is in charge of a collection of what we are calling documents. The communication will normally involve the processing of text, strings of words known to both parties in the process that can be used to describe a document's content and other attributes and link it with a need expressed in similar terms. This book's purpose is to teach people who will be searching or designing text retrieval systems how the systems work. For designers, it covers problems they will face and reviews currently available solutions to provide a basis for more advanced study. For the searcher its purpose is to describe why such systems work as they do. The book is primarily about computer-based retrieval systems, but the principles apply to nonmechanized ones as well. The book covers the nature of information, how it is organized for use by a computer, how search functions are carried out, and some of the theory underlying these functions. As well, it discusses the interaction between user and system and how retrieved items, users, and complete systems are evaluated. A limited knowledge of mathematics and of computing is assumed. The first edition of this work appeared just before the World Wide Web came on the scene, but was nonetheless a student favorite because of its clarity. The new edition is updated and expanded, covering not only the Web but also new developments in how IR systems are or could be designed. It helps users understand why things happen the way they do and thus aids users in designing new systems, evaluating systems before use, and teaching or using IR systems. It provides an understanding of basic principles so that users may read, understand, and evaluate detailed works such as the many research papers on this topic. It explains complex mathematical models so that readers may become familiar with the underlying mathematical concepts of IR systems.
(source: Nielsen Book Data)

• Preface Acknowledgements Biographies
• 1. Introduction
• 2. Modeling
• 3. Retrieval Evaluation
• 4. Query Languages (with Gonzalo Navarro)
• 5. Query Operations
• 6. Text and Multimedia Languages and Properties (with Nivio Ziviani)
• 7. Text Operations
• 8. Indexing and Searching (with Gonzalo Navarro)
• 9. Parallel and Distributed IR (Eric Brown)
• 10. User Interfaces and Visualization (Marti Hearst)
• 11. Multimedia IR: Models and Languages (Elisa Bertino, Barbara Catania and Elena Ferrari)
• 12. Multimedia IR: Indexing and Searching (Christos Faloutsos)
• 13. Searching The Web
• 14. Libraries and Bibliographical Systems (Edie Rasmussen)
• 15. Digital Libraries (Edward A Fox and Ohm Sornil) Appendix: Porter's Algorithm Glossary Bibliography Index.
• (source: Nielsen Book Data)

This is a rigorous and complete textbook for a first course on information retrieval from the computer science (as opposed to a user-centred) perspective. The advent of the Internet and the enormous increase in volume of electronically stored information generally has led to substantial work on IR from the computer science perspective - this book provides an up-to-date student oriented treatment of the subject.
(source: Nielsen Book Data)

• Retrieval strategies
• retrieval utilities
• efficiency issues pertaining to sequential IR systems
• integrating structured data and text
• parallel information retrieval systems
• distributed information retrieval
• the text retrieval conference (TREC)
• future directions.
• (source: Nielsen Book Data)

"Information Retrieval: Algorithms and Heuristics" is a comprehensive introduction to the study of information retrieval covering both effectiveness and run-time performance. The focus of the presentation is on algorithms and heuristics used to find documents relevant to the user request and to find them fast. Through multiple examples, the most commonly used algorithms and heuristics needed are tackled. To facilitate understanding and applications, introductions to and discussions of computational linguistics, natural language processing, probability theory and library and computer science are provided.While this text focuses on algorithms and not on commercial product per se, the basic strategies used by many commercial products are described. Techniques that can be used to find information on the Web, as well as in other large information collections, are included. This volume is an invaluable resource for researchers, practitioners, and students working in information retrieval and databases. For instructors, a set of Powerpoint slides, including speaker notes, are available online from the authors.
(source: Nielsen Book Data)