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

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 data discovery services from commercial search engines 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 schemasto Schema.org, and provide the research data community a benchmark of structured metadata implementation.

Developing a standardized but extendable framework to increase the findability of infectious disease datasets

“…While available in Schema.org, funding information is not generally captured by repositories, and some providers like Harvard Dataverse collect funding information 40 but do not standardize or expose it 41 . To promote compatibility with other commonly used schemas, we provide a crosswalk between our NIAID SysBio schema, Schema.org, and Google Dataset Search ( Table 1 ), as well as a more extensive table ( Supplemental Table 2 ) which compares our schema to an analysis of data schemas including DataCite and Dublin Core by the RDA Research Metadata Schemas Working Group 42 .…”

“…As our goal was not to create a new standard, but to generate links between standards, our approach was to extend existing classes with new properties to promote findability of infectious and immune-mediated disease assets. Essential to promote translation between standards, we developed a crosswalk to other common schemas, based on the work of the Research Metadata Schemas Working Group of the Research Data Alliance 42 (see Supplemental Table 2 ).…”

Developing a standardized but extendable framework to increase the findability of infectious disease datasets

“…As our goal was not to create a new standard, but to generate links between standards, our approach was to extend existing classes with new properties to promote findability of infectious and immune-mediated disease assets. Essential to promote translation between standards, we developed a crosswalk to other common schemas, based on the work of the Research Metadata Schemas Working Group of the Research Data Alliance 44 (see File 3 available on Zenodo 41 ).…”

“…While available in Schema.org, funding information is not generally captured by repositories, and some providers like Harvard Dataverse collect funding information 42 but do not standardize or expose it 43 . To promote compatibility with other commonly used schemas, we provide a crosswalk between our NIAID SysBio schema, Schema.org, and Google Dataset Search (File 2 available on Zenodo 41 ), as well as a more extensive table (File 3 available on Zenodo 41 ) which compares our schema to an analysis of data schemas including DataCite and Dublin Core by the RDA Research Metadata Schemas Working Group 44 .…”

Person‐Oriented Ontologies Analysis for Digital Humanities Collections from a Metadata Crosswalk Perspective

“…Our ontology-based metadata crosswalks focused on specific content and descriptive metadata that representing classes and relationships of different concepts related to people. Thus, we not map other administrative or structural metadata, including compliance and versioning data (Wu et al, 2022). In this paper, ontology-based metadata crosswalk construction was undertaken in four steps:…”