当前位置: X-MOL 学术J. Assoc. Inf. Sci. Technol. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Understanding the process of data reuse: An extensive review
Journal of the Association for Information Science and Technology ( IF 3.5 ) Pub Date : 2021-04-20 , DOI: 10.1002/asi.24483
Xiaoguang Wang 1, 2 , Qingyu Duan 1 , Mengli Liang 1
Affiliation  

Data reuse has recently become significant in academia and is providing new impetus for academic research. This prompts two questions: What precisely is the data reuse process? What is the connection between each participating element? To address these issues, 42 studies were reviewed to identify the stages and primary data reuse elements. A meta-synthesis was used to locate and analyze the studies, and inductive coding was used to organize the analytical process. We identified three stages of data reuse—initiation, exploration and collection, and repurposing—and explored how they interact and form iterative characteristics. The results illuminated the data reuse at each stage, including issues of data trust, data sources, scaffolds, and barriers. The results indicated that multisource data and human scaffolds promote reuse behavior effectively. Further, two data and information search patterns were extracted: reticular centripetal patterns and decentralized centripetal patterns. Three paths with elements cooperating through flexible functions and motivated by different action items were identified: data centers, human scaffolds, and publications. This study supports improvements for data infrastructure construction, data reuse, and data reuse research by providing a new perspective on the effect of information behavior and clarifying the stages and contextual relationships between various elements.

中文翻译:

了解数据重用的过程:广泛回顾

数据重用最近在学术界变得很重要,并为学术研究提供了新的动力。这就提示了两个问题:数据重用过程究竟是什么?每个参与元素之间有什么联系?为了解决这些问题,对 42 项研究进行了审查,以确定阶段和主要数据重用元素。元综合用于定位和分析研究,并使用归纳编码来组织分析过程。我们确定了数据重用的三个阶段——启动、探索和收集以及重新利用——并探索了它们如何相互作用并形成迭代特征。结果阐明了每个阶段的数据重用,包括数据信任、数据来源、支架和障碍等问题。结果表明,多源数据和人工支架有效地促进了重用行为。此外,提取了两种数据和信息搜索模式:网状向心模式和分散向心模式。确定了三个路径,其中元素通过灵活的功能进行合作并受不同行动项目的推动:数据中心、人工支架和出版物。本研究通过提供关于信息行为影响的新视角并阐明各个元素之间的阶段和上下文关系,支持改进数据基础设施建设、数据重用和数据重用研究。和出版物。本研究通过提供关于信息行为影响的新视角并阐明各个元素之间的阶段和上下文关系,支持改进数据基础设施建设、数据重用和数据重用研究。和出版物。本研究通过提供关于信息行为影响的新视角并阐明各个元素之间的阶段和上下文关系,支持改进数据基础设施建设、数据重用和数据重用研究。
更新日期:2021-04-20
down
wechat
bug