数据存储库是否受到约束?对当前实践、挑战和未来技术的调查

Nushrat Khan, M. Thelwall, K. Kousha
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引用次数: 6

摘要

本研究的目的是探讨当前不同数据存储库的实践、挑战和技术需求。设计/方法/方法为数据存储库管理人员设计了一项在线调查,并收集了来自数据存储库注册表re3data的联系信息来传播该调查。总共收到了189份回复,其中47%是学科特定的,34%是机构数据库。总共71%的存储库报告他们的软件使用了定制的技术框架,其中DSpace、EPrint和Dataverse被机构存储库普遍使用。在存储库管理人员中,32%的人报告跟踪辅助数据重用,而50%的人希望这样做。在数据重用指标中,大多数人认为引用次数极其重要,其次是来自其他网站的数据链接和下载次数。尽管存储库管理员认为它们很有用,但他们很难跟踪数据集引用。大多数存储库管理器支持通过图书管理员、主题专家或信息专业人员进行数据集和元数据质量检查。缺乏用户参与和缺乏人力资源是最主要的两个挑战,而扩展是所有组的存储库提到的最常见的动机。确保可查找、可访问、可互操作和可重用(FAIR)数据(49%)、为研究提供用户支持(36%)和开发最佳实践(29%)是存储库管理人员的三大优先事项。对未来存储库系统的主要建议如下:数据和系统之间的集成和互操作性(30%),更好的研究数据管理(RDM)工具(19%),允许不下载数据集的计算工具(16%)和自动化系统(16%)。原创性/价值本研究确定了当前的挑战和改进数据存储库功能和用户体验的需求。同行评议本文的同行评议历史可在:https://publons.com/publon/10.1108/OIR-04-2021-0204
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Are data repositories fettered? A survey of current practices, challenges and future technologies
PurposeThe purpose of this study is to explore current practices, challenges and technological needs of different data repositories.Design/methodology/approachAn online survey was designed for data repository managers, and contact information from the re3data, a data repository registry, was collected to disseminate the survey.FindingsIn total, 189 responses were received, including 47% discipline specific and 34% institutional data repositories. A total of 71% of the repositories reporting their software used bespoke technical frameworks, with DSpace, EPrint and Dataverse being commonly used by institutional repositories. Of repository managers, 32% reported tracking secondary data reuse while 50% would like to. Among data reuse metrics, citation counts were considered extremely important by the majority, followed by links to the data from other websites and download counts. Despite their perceived usefulness, repository managers struggle to track dataset citations. Most repository managers support dataset and metadata quality checks via librarians, subject specialists or information professionals. A lack of engagement from users and a lack of human resources are the top two challenges, and outreach is the most common motivator mentioned by repositories across all groups. Ensuring findable, accessible, interoperable and reusable (FAIR) data (49%), providing user support for research (36%) and developing best practices (29%) are the top three priorities for repository managers. The main recommendations for future repository systems are as follows: integration and interoperability between data and systems (30%), better research data management (RDM) tools (19%), tools that allow computation without downloading datasets (16%) and automated systems (16%).Originality/valueThis study identifies the current challenges and needs for improving data repository functionalities and user experiences.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-04-2021-0204
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