Systemic Search and Analysis of Ontologies for Reuse in the Experimental Research Data Domain
收藏Mendeley Data2024-01-31 更新2024-06-26 收录
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Datasets with systemic search and analysis of ontologies for empirical research data. The goal of the search was identification of key elements of an infrastructure for the open research data and development of the ontology of empirical research data. - The file "Structured Resources Search for the Experimental Research Data Domain" contains resources search and identification. We used the CLeAR approach and corresponding datafile form as a template: Campos, Patricia; Reginato, Cássio; Almeida, João Paulo A. (2020), “Application of the CLeAR Approach to the Water Quality Domain”, Mendeley Data, V1, doi: 10.17632/rjtgsjjgjv.1 - The file "Structured Resources Analysis (Experimental Research Data Domain)" contains the ontologies analysis with respect to the entities necessary for the variables description.
本数据集针对实证研究数据相关本体(ontology)开展系统性检索与分析工作。本次检索的核心目标为识别开放研究数据基础设施的关键构成要素,并构建实证研究数据本体。
——文件《实验研究数据领域结构化资源检索》(Structured Resources Search for the Experimental Research Data Domain)收录了相关资源的检索与识别成果。本次研究采用CLeAR方法及配套数据集表单作为模板:Campos, Patricia; Reginato, Cássio; Almeida, João Paulo A.(2020),《CLeAR方法在水质领域的应用》(Application of the CLeAR Approach to the Water Quality Domain),Mendeley Data,V1,doi: 10.17632/rjtgsjjgjv.1
——文件《实验研究数据领域结构化资源分析》(Structured Resources Analysis (Experimental Research Data Domain))收录了针对变量描述所需实体的本体分析内容。
创建时间:
2024-01-31



