An Analysis of Crosswalks from Research Data Schemas to Schema.org

Author:

Wu Mingfang1,Richard Stephen M.2,Verhey Chantelle3,Castro Leyla Jael4,Cecconi Baptiste5,Juty Nick6

Affiliation:

1. Australian Research Data Commons, Melbourne, Victoria 3145, Australia

2. US Geoscience Information Network, Neward DE 19716-7501, USA

3. International Science Council, World Data System, Victoria BC V8N 1V8, Canada

4. ZB MED - Information Centre for Life Sciences, Cologne 50931, Germany

5. Observatoire de Paris-PSL, Paris Astronomical Data Center, Paris 75001, France

6. Department of Computer Science, The University of Manchester, Oxford Road, Manchester M13 9PL, UK

Abstract

ABSTRACT The increased number of data repositories has greatly increased the availability of open data. To enable broad discovery and access to research dataset, some data repositories have begun leveraging the web architecture by embedding structured metadata markup in dataset web landing pages using vocabularies from Schema.org and extensions. This paper aims to examine metadata interoperability for supporting global data discovery. Specifically, the paper reports a survey on which metadata schema has been adopted by participating data repositories, and presents an analysis of crosswalks from fourteen research data schemas to Schema.org. The analysis indicates most descriptive metadata are interoperable among the schemas, the most inconsistent mapping is the rights metadata, and a large gap exists in the structural metadata and controlled vocabularies to specify various property values. The analysis and collated crosswalks can serve as a reference for data repositories when they develop crosswalks from their own schemas to Schema.org, and provide the research data community a benchmark of structured metadata implementation.

Publisher

MIT Press

Subject

Artificial Intelligence,Library and Information Sciences,Computer Science Applications,Information Systems

Reference29 articles.

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