用于分类和链接研究数据的统一研究信息

F. Alshawaf, Rolf Guescini, Florian Kotschka, M. Dreyer, Maik Bierwirth
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引用次数: 1

摘要

一个描述良好、协调一致的标准格式和链接的元数据加速并优化了搜索过程。因此,研究人员可以确保他们的数据组织得当,易于发现,并且可供其他人访问。机器可读的元数据对于自动发现研究数据集和输出尤其重要。它有助于以更高的准确性搜索和检索数据,从而节省了用户在其研究领域内查找关键信息的时间。这需要丰富和分类的元数据,使计算机能够自动检索和排序相关的搜索结果。记录良好的元数据以关联的数据格式进行协调、标准化和序列化,不仅可以提高研究领域内搜索结果的准确性,还可以为学科和跨学科研究领域提供相关和有用的建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Harmonized Research Information for Classifying and Linking Research Data
A well-described, harmonized in standard formats and linked metadata accelerates and refines the search process. Hence, researchers can ensure that their data is properly organized, easily discoverable, and accessible to others. Machine-readable metadata is especially essential for automatic discovery of research datasets and outputs. It facilitates the search and retrieval of data with increased accuracy, which saves the user time in finding crucial information within their field of research. This requires rich and categorized metadata that allows computers to automatically retrieve and sort relevant search results. Well documented metadata which is harmonized, standardized and serialized in linked data formats increases not only the accuracy of the search results within a field of research, but can also provide relevant and helpful suggestions within disciplinary and interdisciplinary fields of research. 
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