搜索数据：对选定学科中观测数据检索实践的综述。
Searching Data: A Review of Observational Data Retrieval Practices in Selected Disciplines.
作者信息
Gregory Kathleen, Groth Paul, Cousijn Helena, Scharnhorst Andrea, Wyatt Sally
机构信息
Data Archiving and Networked Services, Royal Netherlands Academy of Arts and Sciences Anna van Saksenlaan 51, 2593 HW, The Hague The Netherlands.
Elsevier Labs Radarweg 29, 1043 NX Amsterdam The Netherlands.
出版信息
J Assoc Inf Sci Technol. 2019 May;70(5):419-432. doi: 10.1002/asi.24165. Epub 2019 Mar 12.
Abstract
A cross-disciplinary examination of the user behaviors involved in seeking and evaluating data is surprisingly absent from the research data discussion. This review explores the data retrieval literature to identify commonalities in how users search for and evaluate observational research data in selected disciplines. Two analytical frameworks, rooted in information retrieval and science and technology studies, are used to identify key similarities in practices as a first step toward developing a model describing data retrieval.
摘要
在研究数据讨论中，令人惊讶地缺乏对寻求和评估数据所涉及的用户行为的跨学科考察。本综述探究数据检索文献，以确定在选定学科中用户如何搜索和评估观察性研究数据的共性。两个根植于信息检索以及科学技术研究的分析框架，被用于识别实践中的关键相似之处，作为开发描述数据检索模型的第一步。
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