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In this new, authoritative textbook, internationally recognized metadata experts Zeng and Qin have created a comprehensive primer for advanced undergraduate, graduate, or continuing education courses in information organization, information technology, cataloging, digital libraries, electronic archives, and, of course, metadata.
What is metadata and what do I need to know about it? These are two key questions for the information professional operating in the digital age as more and more information resources are available in electronic format. This is a thought-provoking introduction to metadata written by one of its leading advocates. It assesses the current theory and practice of metadata and examines key developments - including global initiatives and multilingual issues - in terms of both policy and technology. Subjects discussed include: What is metadata? definitions and concepts Retrieval environments: web; library catalogues; documents and records management; GIS; e-Learning Using metadata to enhance retrieval: pointing to content; subject retrieval; language control and indexing Information management issues: interoperability; information security; authority control; authentication and legal admissibility of evidence; records management and document lifecyc≤ preservation issues Application of metadata to information management: document and records management; content management systems for the internet Managing metadata: how to develop a schema Standards development: Dublin Core; UK Government metadata standards (eGIF); IFLA FRBR Model for cataloguing resources Looking forward: the semantic web; the Web Ontology Working Group. Readership: This book will be essential reading for network-oriented librarians and information workers in all sectors and for LIS students. In addition, it will provide useful background reading for computer staff supporting information services. Publishers, policy makers and practitioners in other curatorial traditions such as museums work or archiving will also find much of relevance.
This document defines fifteen metadata elements for resource description in a cross-disciplinary information environment.
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Whether you need full-text search or real-time analytics of structured data—or both—the Elasticsearch distributed search engine is an ideal way to put your data to work. This practical guide not only shows you how to search, analyze, and explore data with Elasticsearch, but also helps you deal with the complexities of human language, geolocation, and relationships. If you’re a newcomer to both search and distributed systems, you’ll quickly learn how to integrate Elasticsearch into your application. More experienced users will pick up lots of advanced techniques. Throughout the book, you’ll follow a problem-based approach to learn why, when, and how to use Elasticsearch features. Understand how Elasticsearch interprets data in your documents Index and query your data to take advantage of search concepts such as relevance and word proximity Handle human language through the effective use of analyzers and queries Summarize and group data to show overall trends, with aggregations and analytics Use geo-points and geo-shapes—Elasticsearch’s approaches to geolocation Model your data to take advantage of Elasticsearch’s horizontal scalability Learn how to configure and monitor your cluster in production
This accessible and highly practical book provides an introductory guide to the world of research support in the academic library. Academic libraries have seen huge changes in recent years thanks to the increasing availability of information online but they are now undergoing another shift. As libraries move away from providing access to existing information and towards helping users create new knowledge there is an opportunity for them to develop new services for the research community. To do this successfully libraries need to have a knowledgeable workforce who are equipped to provide the support that researchers need. Information professionals are increasingly being asked to advise their users on issues such as open access and research data management but are often doing so with little or no formal preparation. Outlining the reasons why library staff need to develop a knowledge of research support and guiding them through the key information on each topic, The No-nonsense Guide to Research Support and Scholarly Communication provides an ideal primer for those who seek to work in this area or those who have acquired these responsibilities as part of a wider role. The practical nature of the book means readers can dip into it or read it from cover to cover as needed. It includes practical checklists of knowledge and skills, international case studies by practitioners from around the globe, end of chapter references, how-to sections, activities and links to freely available online training materials. The book covers: - scholarly communication, open research and the research lifecycle - research data management - open access - disseminating research - metrics and measuring impact including the Journal Impact Factor, H-Index and Altmetrics - career paths in research support - why and how library staff at all levels can get involved in the process of doing research and sharing their outputs. The book will be essential reading for academic librarians who have had research support duties added to their role with little or no formal training or those who have taken on a newly created role and are unsure of how best to use their existing skills or develop new ones suitable for a role in research support. The book will also be of interest to public librarians who may be dealing with supporting their own research communities and those who are considering taking on a career in this growing area but are unsure where to turn for guidance including students studying for postgraduate library qualifications and those who have undertaken qualifications in publishing.
In today’s information landscape, there are fewer topics that more urgently demand expansive discourse than digital preservation, which touches on everything from technology to copyright. The Association for Library Collections and Technical Services (ALCTS) steps up to the challenge with this comprehensive overview. Global in scope, it features case studies and contributions that discuss such key issues as the history of digital preservation; digital preservation and information ethics; strategies for getting started, sustaining digitization programs, and performing evaluation; fine-tuning digital preservation workflows, with a look at Digital Streams Matrix for analyzing pathways and tasks; preserving e-books, mobile device data, and other specific types of materials; collaborative efforts in digital preservation, including jargon-free techniques for engaging non-technical colleagues in digital legacy tools and processes; and the copyright, legal, and administrative issues connected with digital preservation. Academic librarians, technical services staff, technologists, and administrators will all benefit from this incisive collection.
Every enterprise application creates data, whether it’s log messages, metrics, user activity, outgoing messages, or something else. And how to move all of this data becomes nearly as important as the data itself. If you’re an application architect, developer, or production engineer new to Apache Kafka, this practical guide shows you how to use this open source streaming platform to handle real-time data feeds. Engineers from Confluent and LinkedIn who are responsible for developing Kafka explain how to deploy production Kafka clusters, write reliable event-driven microservices, and build scalable stream-processing applications with this platform. Through detailed examples, you’ll learn Kafka’s design principles, reliability guarantees, key APIs, and architecture details, including the replication protocol, the controller, and the storage layer. Understand publish-subscribe messaging and how it fits in the big data ecosystem. Explore Kafka producers and consumers for writing and reading messages Understand Kafka patterns and use-case requirements to ensure reliable data delivery Get best practices for building data pipelines and applications with Kafka Manage Kafka in production, and learn to perform monitoring, tuning, and maintenance tasks Learn the most critical metrics among Kafka’s operational measurements Explore how Kafka’s stream delivery capabilities make it a perfect source for stream processing systems
This benchmark text is back in a new edition thoroughly updated to incorporate developments and changes in metadata and related domains. Zeng and Qin provide a solid grounding in the variety and interrelationships among different metadata types, offering a comprehensive look at the metadata schemas that exist in the world of library and information science and beyond. Readers will gain knowledge and an understanding of key topics such as the fundamentals of metadata, including principles of metadata, structures of metadata vocabularies, and metadata descriptions; metadata building blocks, from modeling to defining properties, from designing application profiles to implementing value vocabularies, and from specification generating to schema encoding, illustrated with new examples; best practices for metadata as linked data, the new functionality brought by implementing the linked data principles, and the importance of knowledge organization systems; resource metadata services, quality measurement, and interoperability approaches; research data management concepts like the FAIR principles, metadata publishing on the web and the recommendations by the W3C in 2017, related Open Science metadata standards such as Data Catalog Vocabulary (DCAT) version 2, and metadata-enabled reproducibility and replicability of research data; standards used in libraries, archives, museums, and other information institutions, plus existing metadata standards’ new versions, such as the EAD 3, LIDO 1.1, MODS 3.7, DC Terms 2020 release coordinating its ISO 15396-2:2019, and Schema.org’s update in responding to the pandemic; and newer, trending forces that are impacting the metadata domain, including entity management, semantic enrichment for the existing metadata, mashup culture such as enhanced Wikimedia contents, knowledge graphs and related processes, semantic annotations and analysis for unstructured data, and supporting digital humanities (DH) through smart data. A supplementary website provides additional resources, including examples, exercises, main takeaways, and editable files for educators and trainers.