通过新的国家元数据平台发现关联的数据集合。

IF 2.2 Q3 HEALTH CARE SCIENCES & SERVICES
International Journal of Population Data Science Pub Date : 2025-04-30 eCollection Date: 2025-01-01 DOI:10.23889/ijpds.v10i1.2461
Kate M Miller, Felicity S Flack, Merran B Smith, Vicki Bennett, Carina Ecremen Marshall
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引用次数: 0

摘要

背景:元数据在卫生研究基础设施生态系统中起着至关重要的作用。尽管澳大利亚的数据收集有丰富的元数据,但庞大而多样的数据托管环境给关联数据研究人员寻找多个数据收集的相关信息带来了挑战,这往往使其成为一项艰巨而耗时的任务。方法:该项目包括三个阶段:最初的范围界定工作,以了解元数据的当前状态和相关的最佳实践;由研究人员、数据联系工作人员和数据保管人参与的全国协商,以开发元数据平台的高保真原型;最后的构建和实现阶段。该平台经历了几个原型和测试周期,以完善数字体验。结果:专家访谈证实,有丰富的元数据可用,但研究人员难以访问和评估。与研究人员的磋商确定了跨集合的元数据标准化的机会,并提供了一个集中的平台,以增强使用关联数据进行研究的数据集合的可发现性。高价值的平台特性包括搜索、浏览和过滤功能、数据项列表元数据、标准化格式、样本数据和常见问题。最终的设计和功能反映了用户咨询和数据管理员对可行性的输入。结论:人口健康研究网络开发了一个元数据平台,使研究人员能够更有效地评估澳大利亚数据收集对关联数据项目的适用性。该平台标准化了为全国数据收集提供元数据的方式。改进的元数据质量、可读性和可访问性将节省时间并提高链接数据应用程序的质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Discovering linked data collections through a new national metadata platform.

Discovering linked data collections through a new national metadata platform.

Background: Metadata plays a crucial role in the health research infrastructure ecosystem. Despite the abundance of metadata for data collections in Australia, the vast and diverse data custodian landscape poses challenges for linked data researchers to find relevant information for multiple data collections, often making it an arduous and time-intensive task.

Methods: The project comprised three phases: an initial scoping exercise to understand the current state of metadata and related best practice; a national consultation involving researchers, data linkage staff and data custodians to develop a high-fidelity prototype of a metadata platform; and a final build and implementation phase. The platform underwent several prototyping and testing cycles to refine the digital experience.

Results: Expert interviews confirmed that there is a wealth of metadata available, but it is difficult for researchers to access and evaluate. Consultations with researchers identified opportunities to standardise metadata across collections and provide a centralised platform to enhance the discoverability of data collections for research using linked data. High value platform features included searching, browsing and filtering capabilities, data item list metadata, standardised formats, sample data, and frequently asked questions. The final design and functionality reflected user consultations and data custodian input on feasibility.

Conclusion: The Population Health Research Network developed a metadata platform to enable researchers to evaluate the suitability of Australian data collections for linked data projects more effectively. The platform has standardised the way in which metadata is presented for data collections nationally. Improved metadata quality, readability and accessibility will save time and enhance the quality of applications for linked data.

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来源期刊
CiteScore
2.50
自引率
0.00%
发文量
386
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