ArticleInternational journal of population data science2025
Discovering linked data collections through a new national metadata platform.
Article in International journal of population data science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Data for Equity: Can Linked Administrative Data Inform Pathways to More Equitable Child Health?The Medical journal of Australia · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.