Improve data discovery and metadata interoperability via publishing structured metadata on the Web

Dr Mingfang Wu1, Mr. Joel Benn2, Dr Adrian Burton2

1Australia Research Data Commons, Melbourne, Australia
2Australia Research Data Commons, Canberra, Australia

Increasing amounts of open data are being made available through a growing number of data repositories. Consequently, it is becoming more challenging for researchers and the public to find relevant data, especially where desired data is dispersed across several repositories. To enable broad discovery and access to research data, some data repositories have begun leveraging data discovery services from commercial search engines like Google, Yahoo, Bing etc., by embedding structured data markup in metadata landing pages using vocabularies such as, DCAT, and specific extensions. When more repositories adopt this approach, the research data community can take advantage of such enhanced metadata interoperability; for instance, data aggregators can explore new methods for metadata syndication via the web architecture: DataCite has already offered to crawl metadata through its embedded web page, DataOne and ARDC’s catalogue service Research Data Australia are planning to offer the similar service.

However, the implementation of structured data requires consistent semantic and syntactic  implementation across data repositories to enable better interoperability and consequently to improve data discovery.  For that, ARDC has been participating in global discussions on consistent community practice within the context of the Research Data Alliance (RDA) Research Metadata Schemas (RMS) Working Group and ESIP Clusters. In this talk, we will lay out the benefits of adopting such a structured metadata approach,  challenges faced by data repositories and aggregators,  and the guidelines developed by the RDA RMS WG with nine recommendations for publishing structured data on the web.


Dr. Mingfang Wu is a research data specialist at the Australia Research Data Commons. She has been co-chairing the Research Metadata Schemas Working Group of Research Data Alliance.


Oct 15 2021


2:40 pm - 3:00 pm

Local Time

  • Timezone: America/New_York
  • Date: Oct 14 - 15 2021
  • Time: 11:40 pm - 12:00 am