Ying-Hsang Liu

To make sense of data and use it effectively, it is essential to know where it comes from and how it has been processed and used. This is the domain of paradata, an emerging interdisciplinary field with wide applications. As digital data rapidly accumulates in repositories worldwide, this comprehensive introductory book, the first of its kind, shows how to make that data accessible and reusable. In addition to covering basic concepts of paradata, the book supports practice with coverage of methods for generating, documenting, identifying and managing paradata, including formal metadata, narrative descriptions and qualitative and quantitative backtracking. The book also develops a unifying reference model to help readers contextualise the role of paradata within a wider system of knowledge, practices and processes, and provides a vision for the future of the field. This guide to general principles and practice is ideal for researchers, students and data managers. This title is also available as open access on Cambridge Core.

To make sense of data and use it effectively, it is essential to know where it comes from and how it has been processed and used. This is the domain of paradata, an emerging interdisciplinary field with wide applications. As digital data rapidly accumulates in repositories worldwide, this comprehensive introductory book, the first of its kind, shows how to make that data accessible and reusable. In addition to covering basic concepts of paradata, the book supports practice with coverage of methods for generating, documenting, identifying and managing paradata, including formal metadata, narrative descriptions and qualitative and quantitative backtracking. The book also develops a unifying reference model to help readers contextualise the role of paradata within a wider system of knowledge, practices and processes, and provides a vision for the future of the field. This guide to general principles and practice is ideal for researchers, students and data managers. This title is also available as open access on Cambridge Core.

Information seeking and use is now routine in people’s everyday lives. Searching through various information retrieval systems such as web search engines or search functions within information systems allows users to gain access to information on the Internet. Whereas most research in this area has focused on the algorithms behind the search engines from technical perspectives, in this monograph, the authors focus on the search interface, the place where searchers interact with the search system. Search Interface Design and Evaluation reviews the research on the design and evaluation of search user interfaces of the past 10 years. The authors’ primary goal is to integrate state-of-the-art search interface research in the areas of information seeking behavior, information retrieval, and human-computer interaction. The monograph describes the history and background of the development of the search interface and introduces information search behavior models that help conceptualize users’ information needs. The authors also characterize the major components of search interfaces that support different subprocesses based on Marchonini’s information seeking process model, review the design of search interfaces for different user groups, and identify evaluation methods of search interfaces and how they were implemented. Lastly, they provide an outlook on the future trends of search interfaces that includes conversational search interfaces, search interfaces supporting serendipity and creativity, and searching in immersive and virtual reality environments.