Configuring, optimizing and enhancing Dataverse: The case of SoDaNet Repositories

Apostolos Linardis, Dimitra Kondyli, Konstantinos Alexandris, Konstantinos Papagiannopoulos, Konstantinos – Symeon Nisiotis, Nikolaos Mastoris, Nicolas Klironomos
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Abstract

Current trends in computational social sciences and data-driven research require access to reliable data sources. Data repositories fulfil this role, providing high-quality data services, since they satisfy certain requirements that can be briefly summarized as complying with the FAIR data principles. In this context, we outline the measures undertaken by SoDaNet to enhance the data repositories within our infrastructure. Through the adoption and implementation of the Dataverse software, along with a series of adaptations and customizations, we have improved the Findability, Accessibility, Interoperability, and Reusability (FAIR) of the data hosted in these repositories. This effort has resulted in data repositories responding effectively to the demands of the research community, improving the user experience both nationally and internationally.
配置、优化和增强数据海:SoDaNet 存储库案例
当前计算社会科学和数据驱动研究的发展趋势要求获取可靠的数据源。数据存储库可以履行这一职责,提供高质量的数据服务,因为它们满足某些要求,这些要求可以简要概括为符合公平数据原则。在这方面,我们概述了 SoDaNet 为加强我们基础设施中的数据存储库所采取的措施。通过采用和实施 Dataverse 软件,并进行一系列调整和定制,我们提高了这些存储库中托管数据的可查找性、可访问性、互操作性和可重用性 (FAIR)。通过这些努力,数据储存库有效地满足了研究界的需求,改善了国内和国际用户的体验。
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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