Overview
- Synthesizes current research on human-centered data discovery, which covers different types of data, systems, and users
- Examines how people find the data they need, which search strategies and tools they use, and how they understand data
- Discusses recommendations for how search systems can be better designed to meet people’s needs
Part of the book series: Synthesis Lectures on Information Concepts, Retrieval, and Services (SLICRS)
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Table of contents (6 chapters)
Keywords
About this book
Authors and Affiliations
About the authors
Laura Koesten, Ph.D., is a postdoctoral researcher at the University of Vienna, Austria in the Research Group for Visualization and Data Analysis (VDA), Department of Informatics. She is also an affiliate researcher at King’s College London in the Department of InformaticsDistributed Artificial Intelligence Group, where she was previously a senior research fellow. Dr. Koesten has an MSc in Human Factors and a PhD in Computer Science from the University of Southampton and the Open Data Institute in London, UK as a Maria Curie Skłodowska fellow. Her research focuses on Human Data Interaction, aiming to understand data-centric work practices including data discovery, sensemaking of data for reuse and collaboration with data amongst different user groups.
Bibliographic Information
Book Title: Human-Centered Data Discovery
Authors: Kathleen Gregory, Laura Koesten
Series Title: Synthesis Lectures on Information Concepts, Retrieval, and Services
DOI: https://doi.org/10.1007/978-3-031-18223-5
Publisher: Springer Cham
eBook Packages: Synthesis Collection of Technology (R0), eBColl Synthesis Collection 11
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
Hardcover ISBN: 978-3-031-18222-8Published: 02 January 2023
Softcover ISBN: 978-3-031-18225-9Published: 03 January 2024
eBook ISBN: 978-3-031-18223-5Published: 01 January 2023
Series ISSN: 1947-945X
Series E-ISSN: 1947-9468
Edition Number: 1
Number of Pages: VIII, 84
Number of Illustrations: 2 b/w illustrations, 2 illustrations in colour
Topics: Information Storage and Retrieval, Computer Applications, User Interfaces and Human Computer Interaction, Data Mining and Knowledge Discovery, Data Structures and Information Theory, Computer Science, general