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Titlebook: Human-Centered Data Discovery; Kathleen Gregory,Laura Koesten Book 2022 The Editor(s) (if applicable) and The Author(s), under exclusive l

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發(fā)表于 2025-3-21 19:31:40 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Human-Centered Data Discovery
編輯Kathleen Gregory,Laura Koesten
視頻videohttp://file.papertrans.cn/430/429617/429617.mp4
概述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 t
叢書(shū)名稱(chēng)Synthesis Lectures on Information Concepts, Retrieval, and Services
圖書(shū)封面Titlebook: Human-Centered Data Discovery;  Kathleen Gregory,Laura Koesten Book 2022 The Editor(s) (if applicable) and The Author(s), under exclusive l
描述This book synthesizes existing research on human-centered data discovery, as well as the recommendations which exist for supporting the design of sustainable, user-centered data search systems. While information-seeking in various settings has been well-researched within computer and information science, not much is known about human-centered data discovery, or how people discover, understand and interact with data that others create. This is particularly relevant given the ever-increasing amounts of data being produced and made available, and the creation of data-specific discovery tools and systems. This book examines how people find the data they need, which search strategies and tools they use, how they understand data, and how search systems can be better designed to meet people’s needs..
出版日期Book 2022
關(guān)鍵詞Data Search; Data Discovery; Data Retrieval; Data Reuse; Human-centered Data Discovery; Data Sensemaking
版次1
doihttps://doi.org/10.1007/978-3-031-18223-5
isbn_softcover978-3-031-18225-9
isbn_ebook978-3-031-18223-5Series ISSN 1947-945X Series E-ISSN 1947-9468
issn_series 1947-945X
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-21 21:47:09 | 只看該作者
Kathleen Gregory,Laura Koestenllkürlich abtun, dann bleibt nur zu vermuten, da? in ihnen jeweils verschiedene Aspekte des Zielbegriffes in den Vordergrund rücken, wobei die übrigen Aspekte nur in den Hintergrund treten ohne aufgegeben zu werden. Die haupts?chlichsten Aspekte sind dabei die Operationalit?t und die Dimension der Z
板凳
發(fā)表于 2025-3-22 01:17:52 | 只看該作者
地板
發(fā)表于 2025-3-22 06:26:08 | 只看該作者
5#
發(fā)表于 2025-3-22 09:53:48 | 只看該作者
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發(fā)表于 2025-3-22 13:39:53 | 只看該作者
Data Evaluation and Sensemaking,ng to explore data in more depth. This can in turn lead to refining one‘s selection criteria and going back to evaluating and selecting different data sources to start the process again. The chapter ends by drawing three conclusions (Sect.?5.3) about how people evaluate and make sense of data for reuse.
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發(fā)表于 2025-3-22 17:56:19 | 只看該作者
Recommendations for Data Discovery, Sensemaking and Reuse,ent and collaborative work around data. The recommendations are relevant for a variety of stakeholders, including designers of data discovery systems; managers of data portals and repositories; and data creators and data seekers themselves.
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發(fā)表于 2025-3-22 21:55:15 | 只看該作者
Book 2022systems. This book examines how people find the data they need, which search strategies and tools they use, how they understand data, and how search systems can be better designed to meet people’s needs..
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發(fā)表于 2025-3-23 02:51:38 | 只看該作者
Book 2022ainable, user-centered data search systems. While information-seeking in various settings has been well-researched within computer and information science, not much is known about human-centered data discovery, or how people discover, understand and interact with data that others create. This is par
10#
發(fā)表于 2025-3-23 08:10:21 | 只看該作者
1947-945X find the data they need, which search strategies and tools tThis book synthesizes existing research on human-centered data discovery, as well as the recommendations which exist for supporting the design of sustainable, user-centered data search systems. While information-seeking in various settings
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