FAIREST:评估研究知识库的框架

IF 1.3 3区 计算机科学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS
M. d’Aquin, Fabian Kirstein, Daniela Oliveira, Sonja Schimmler, Sebastian Urbanek
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引用次数: 3

摘要

摘要:开放科学运动在过去几年中取得了巨大的发展势头。与此同时,还需要存储和共享研究成果,如出版物和研究数据。为此,需要建立研究资料库。有多种解决方案可用于实现此类存储库,涵盖各种功能,从自定义存放工作流到类似社交媒体的功能。在本文中,我们介绍了FAIREST原则,这是一个受著名的FAIR原则启发的框架,但旨在提供一组指标,用于评估和选择创建研究成果数字存储库的解决方案。目标是支持决策者在规划存储库时选择这样的解决方案,尤其是在机构层面。因此,所包含的指标基于两个支柱:(1)从现有的专用、通用和常用解决方案中提取的既定特征和功能的分析,以及(2)对研究成果和相关系统的数字存储库的一般要求的文献综述。我们进一步描述了对11个广泛应用的解决方案的评估,目的是概述研究数据存储库解决方案的当前前景,确定差距和需要解决的研究挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
FAIREST: A Framework for Assessing Research Repositories
ABSTRACT The open science movement has gained significant momentum within the last few years. This comes along with the need to store and share research artefacts, such as publications and research data. For this purpose, research repositories need to be established. A variety of solutions exist for implementing such repositories, covering diverse features, ranging from custom depositing workflows to social media-like functions. In this article, we introduce the FAIREST principles, a framework inspired by the well-known FAIR principles, but designed to provide a set of metrics for assessing and selecting solutions for creating digital repositories for research artefacts. The goal is to support decision makers in choosing such a solution when planning for a repository, especially at an institutional level. The metrics included are therefore based on two pillars: (1) an analysis of established features and functionalities, drawn from existing dedicated, general purpose and commonly used solutions, and (2) a literature review on general requirements for digital repositories for research artefacts and related systems. We further describe an assessment of 11 widespread solutions, with the goal to provide an overview of the current landscape of research data repository solutions, identifying gaps and research challenges to be addressed.
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来源期刊
Data Intelligence
Data Intelligence COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
6.50
自引率
15.40%
发文量
40
审稿时长
8 weeks
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