Article: Schema.org for research data managers: a primer Journal: International Journal of Big Data Management (IJBDM) 2022 Vol.2 No.2 pp.95 - 116 Abstract: Data managers are currently investigating the value proposition of Schema.org (SDO) with a lightweight implementation that couples the SDO vocabulary with indexing Google Dataset Search. This pathway essentially 'webifies' dataset search and syndication and enhances dataset discovery. The Primer was created to layout the SDO landscape, where it came from, what is driving its uptake in research data management, and how it works in broad strokes. It was designed to introduce individuals with little technical knowledge to the benefits and importance of Schema.org and aimed to be a 'one-step-back' from the numerous guidance documents that are being produced in the RDM community. This document describes the mark-up process in very simple terms, provides current methods of adoption by the research community, describes related technical areas relevant to data managers and lists what organisations they should follow to keep apprised of this work. Inderscience Publishers - linking academia, business and industry through research

Title: Schema.org for research data managers: a primer

Authors: Karen Payne; Chantelle Verhey

Addresses: International Science Council, World Data System International Technology Office, #100-2474 Arbutus Rd., Victoria, BC V8N-1V8, Canada ' International Science Council, World Data System International Technology Office, #100-2474 Arbutus Rd., Victoria, BC V8N-1V8, Canada

Abstract: Data managers are currently investigating the value proposition of Schema.org (SDO) with a lightweight implementation that couples the SDO vocabulary with indexing Google Dataset Search. This pathway essentially 'webifies' dataset search and syndication and enhances dataset discovery. The Primer was created to layout the SDO landscape, where it came from, what is driving its uptake in research data management, and how it works in broad strokes. It was designed to introduce individuals with little technical knowledge to the benefits and importance of Schema.org and aimed to be a 'one-step-back' from the numerous guidance documents that are being produced in the RDM community. This document describes the mark-up process in very simple terms, provides current methods of adoption by the research community, describes related technical areas relevant to data managers and lists what organisations they should follow to keep apprised of this work.

Keywords: Schema.org; SDO; interoperability; Google Dataset Search; GDSS; indexing; mark-up; research data managers; extensions; international technology office; semantics; ontologies; Semantic Web.

DOI: 10.1504/IJBDM.2022.128449

International Journal of Big Data Management, 2022 Vol.2 No.2, pp.95 - 116

Received: 31 Mar 2021
Accepted: 21 May 2021
Published online: 23 Jan 2023 *

Title: Schema.org for research data managers: a primer

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