Best Practice: Guidelines for publishing structured metadata on the Web

Title: Guidelines for publishing structured metadata on the Web
Moderated by: Ying-Hsang Liu
Date: 2021-10-07 07:00
Slides: slides.pdf
Recording: Watch on YouTube


	Mingfang Wu
Mingfang Wu
Australian Research Data Commons (ARDC)
Dr. Mingfang Wu, is senior research data specialist at the Australian Research Data Commons (ARDC). She has conducted research in the areas of interactive information retrieval, search log analysis, interfaces supporting exploratory search and enterprise search. Her recent research focuses on the data discovery paradigms as part of the Research Data Alliance (RDA) initiative and for improving data discovery service of Australian national research data catalogue, as well as a few data management related topics such as data provenance, data versioning and data quality.


The FAIR (Findable, Accessible, Interoperable and Reusable) data principles refer frequently to metadata as a key enabler in discoverability. Publishing structured metadata on the web can provide a simple and efficient means to increase the FAIRness of research resources: it exposes metadata contained in web pages through a formal mechanism, allowing systematic collection and processing by web-based crawlers. Efforts to adopt structured metadata within and across data catalogues would benefit greatly from a set of recommendations that would help ensure consistent implementation leading to enhanced discoverability and accessibility of data, and interoperability of metadata. This presentation reports an effort from the Research Data Alliance Research Metadata Schemas Working Group on developing guidelines with nine recommendations to support the process of publishing structured metadata on the web.