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Data from a survey on the traceability of published datasets created at Swedish research institutions

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DataCite Commons2026-03-18 更新2026-03-29 收录
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https://researchdata.se/catalogue/dataset/2025-281/1
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资源简介:
The aim of this survey was to investigate how Swedish research organizations currently work with tracking published datasets, and also to capture more qualitative accounts of what problems are experienced and how respondents see that they can be solved in the short or long term. The survey was answered by 54 respondents, mostly individuals involved in various research support roles. "Traceable research data: Methods and recommendations for enhanced traceability and visibility of Swedish data publications" is a Flagship project by the Swedish National Data Service, aiming to improve the management and traceability of published datasets at Swedish higher education institutions. It explores how published datasets can be identified, registered, and tracked over time. By developing methods for harvesting metadata and producing practical recommendations, the project contributes to improved traceability, visibility, and quality assurance of research data in alignment with the FAIR principles. The results will be made openly accessible in the form of current state and gap analyses, recommendations, and proposed technical solutions. The goal of the project is to establish conditions that support national requirements for monitoring and reporting. Universities, researchers, and other stakeholders will gain support in identifying and highlighting published research data, thereby strengthening Swedish research both nationally and internationally.

本调研旨在探究瑞典科研机构当前开展已发布数据集追踪工作的具体模式,同时收集关于当前面临的各类实践问题,以及受访者认为可在短期或长期内解决这些问题的质性调研资料。 本次调研共回收54份有效问卷,受访者大多担任各类科研支持相关职务。 "可溯源科研数据:提升瑞典数据出版物溯源性与可见性的方法与建议"(Traceable research data: Methods and recommendations for enhanced traceability and visibility of Swedish data publications)是瑞典国家数据服务中心(Swedish National Data Service)的旗舰项目,旨在改善瑞典高等教育机构中已发布数据集的管理与溯源工作。 该项目聚焦已发布数据集的长期识别、注册与追踪流程。 通过研发元数据采集方法并制定实用建议,本项目助力符合FAIR原则(FAIR Principles)的科研数据溯源性、可见性与质量保障水平得到提升。 项目成果将以现状分析、缺口分析、建议方案及拟议技术解决方案的形式对外公开获取。 本项目的目标是构建满足国家监测与报告要求的支撑条件。高校、科研人员及其他利益相关方将获得已发布科研数据的识别与展示支持,进而从国内与国际层面提升瑞典科研的整体实力。
提供机构:
Chalmers University of Technology
创建时间:
2025-10-21
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