Automation Tool for Institutional Repositories Evaluation

IF 0.2 Q4 ENGINEERING, MULTIDISCIPLINARY
Juan Sebastián González-Sanabria, Fabián-Nicolás Ramos-Corredor, Germán Amezquita-Becerra
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引用次数: 0

Abstract

The rise of digital repositories has framed a significant advance in access to academic and scientific knowledge, increasing its impact due to greater reach and lower cost. However, these platforms are a new topic that initially did not have standards or models to carry out their implementation and operation, which is why there were inconsistencies between repositories on issues such as interoperability, digital preservation, among others. Due to the lack of standardization and the exponential increase in the number of repositories, different organizations and researchers made multiple proposals to standardize the processes and characteristics of these platforms. The proposals materialized in models, such as the Dublin Core and DataCite metadata schemes, and in guides for the evaluation and implementation of repositories, such as the "Guide for the evaluation of institutional research repositories" by RECOLECTA or the DINI certificate (Deutsche Initiative für Netzwerk Information). The latter aim to evaluate the platforms in their entirety, including 8 sections with a total of 87 elements. Therefore, in this research an application was developed to automate the evaluation of repositories, automating processes that improve educational work using computer tools and their integration.
机构知识库评估自动化工具
数字资源库的兴起使学术和科学知识的获取取得了重大进展,由于覆盖范围更广、成本更低,其影响也更大。然而,这些平台是一个新的主题,最初没有标准或模型来执行它们的实现和操作,这就是为什么存储库之间在诸如互操作性、数字保存等问题上存在不一致。由于缺乏标准化和存储库数量的指数级增长,不同的组织和研究人员提出了多种标准化这些平台的过程和特征的建议。这些建议体现在模型中,如都柏林核心和DataCite元数据方案,以及存储库评估和实施指南中,如RECOLECTA或DINI证书(Deutsche Initiative fr Netzwerk Information)的“机构研究存储库评估指南”。后者旨在对平台进行整体评估,包括8个部分,共87个要素。因此,在本研究中,开发了一个应用程序来自动化存储库的评估,自动化使用计算机工具及其集成来改进教育工作的过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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