社区资料库的可持续连接性

IF 1.3 3区 计算机科学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS
Ted Habermann
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引用次数: 0

摘要

研究对象、研究人员、组织和资助者的持久标识符是在全球研究基础设施(GRI)中建立明确持久联系的关键。许多资料库正在实施收集这些标识符的机制,并将其整合到提交和记录整理流程中。这预示着未来将实现良好的连接,但过去提交的现有资源的元数据缺少这些标识符,因此缺少纳入连接基础设施所需的连接。要建立这些联系,就必须重新编制这些元数据。本文介绍了全球研究基础设施,并展示了资源库及其用户社区如何为全球研究基础设施的连接做出贡献并从中受益。Dryad数据资源库自2008年起就已存在,并多次成功地重新整理了资源库元数据,为研究机构、资助者和研究人员添加了标识符。对这些成功的理解和量化取决于对资源库和标识符连接性的衡量。这里对整个资源库进行了描述和应用。长期以来,与Dryad中数据集相关联的论文的标识符(数字对象标识符,DOIs)一直是Dryad元数据创建和策展流程的重要组成部分。自2019年以来,有关联论文的数据集比例已从100%下降到不足40%。这一下降对上述重新整合工作产生了重大影响,因为连接的论文一直是元数据的重要来源。此外,论文连接的缺失也增加了理解和重用数据集的难度。数据集与论文之间的连接可能很难建立,原因包括论文提交与发表之间的时间差、缺乏明确的机制来引用论文中的数据集和其他研究对象、研究人员的关注点不断变化以及其他障碍。Dryad社区的成员,即用户、研究机构、出版商和资助者,在确定这些联系方面有着既得利益,并在整理和重新整合工作中扮演着重要角色。他们的参与对于在 Dryad 已取得的成功基础上再接再厉并确保未来的可持续连接至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sustainable Connectivity in a Community Repository
Persistent identifiers for research objects, researchers, organizations, and funders are the key to creating unambiguous and persistent connections across the global research infrastructure (GRI). Many repositories are implementing mechanisms to collect and integrate these identifiers into their submission and record curation processes. This bodes well for a well-connected future, but metadata for existing resources submitted in the past are missing these identifiers, thus missing the connections required for inclusion in the connected infrastructure. Re-curation of these metadata is required to make these connections. This paper introduces the global research infrastructure and demonstrates how repositories, and their user communities, can contribute to and benefit from connections to the global research infrastructure. The Dryad Data Repository has existed since 2008 and has successfully re-curated the repository metadata several times, adding identifiers for research organizations, funders, and researchers. Understanding and quantifying these successes depends on measuring repository and identifier connectivity. Metrics are described and applied to the entire repository here. Identifiers (Digital Object Identifiers, DOIs) for papers connected to datasets in Dryad have long been a critical part of the Dryad metadata creation and curation processes. Since 2019, the portion of datasets with connected papers has decreased from 100% to less than 40%. This decrease has significant ramifications for the re-curation efforts described above as connected papers have been an important source of metadata. In addition, missing connections to papers make understanding and re-using datasets more difficult. Connections between datasets and papers can be difficult to make because of time lags between submission and publication, lack of clear mechanisms for citing datasets and other research objects from papers, changing focus of researchers, and other obstacles. The Dryad community of members, i.e. users, research institutions, publishers, and funders have vested interests in identifying these connections and critical roles in the curation and re-curation efforts. Their engagement will be critical in building on the successes Dryad has already achieved and ensuring sustainable connectivity in the future.
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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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