知识地图作为管理科学能力的支持工具:一个葡萄牙研究机构的案例研究

IF 2.2 3区 管理学 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE Learned Publishing Pub Date : 2023-03-21 DOI:10.3390/publications11010019
João Génio, A. Trifan, A. Neves
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引用次数: 1

摘要

在一个研究机构中,寻找某一领域的专家并能够承担特定的角色,定义卓越领域,或雇用新成员都需要了解内部可用的能力。这项工作探讨了使用知识或能力图作为管理科学能力的支持工具的想法。我们在Aveiro大学的电子和信息工程研究所(Institute of Electronics and Informatics Engineering)实现了一个用例,但是我们提出的方法实际上可以适用于任何研究组织。知识地图是信息的可视化表示,可以根据组织的知识资产设计具有可变粒度的信息。从研究管理的角度来看,知识地图支持研究能力的发现,并通过一目了然地显示主要领域,提供主题的即时概述。本文探讨的解决方案采用数据挖掘方法从公共数据库收集信息,并使用知识地图表示信息。其他可视化工具,如条形图、表格、过滤器和搜索功能,被创建并集成到web平台中。当这些组件组合在一起时,可以使该平台成为研究机构管理的关键组件。
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Knowledge Maps as Support Tool for Managing Scientific Competences: A Case Study at a Portuguese Research Institute
In a research organization, finding someone who is an expert in a field and that can take up a given role, defining areas of excellence, or employing a new member all require understanding the competences that are available in-house. This work explores the idea of using knowledge or competence maps as support tools for managing scientific competences. We implemented a use case at the Institute of Electronics and Informatics Engineering of Aveiro, a research institute at the University of Aveiro, but the methodology we proposed can be adapted to virtually any research organization. Knowledge maps are visual representations of information that can be designed with variable granularities with respect to the knowledge assets of an organization. From a research management perspective, knowledge maps support the discovery of research competences and provide an instant overview of a topic by showing the main areas at a glance. This solution explored in this work employed data mining approaches for gathering information from public databases and presenting it using knowledge maps. Other visualization tools, such as bar graphs, tables, filters and search functionalities, were created and integrated into a web platform. When put together, these components could turn the platform into a key component for the administration of a research organization.
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Learned Publishing
Learned Publishing INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
4.40
自引率
17.90%
发文量
72
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