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

作　　者：Mingfang Wu Stephen M.Richard Chantelle Verhey Leyla Jael Castro Baptiste Cecconi Nick Juty 

机构地区：[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 M139PL,UK

出　　处：《Data Intelligence》2023年第1期100-121,共22页数据智能（英文）

摘　　要：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.

关 键 词：metadata schema Schema.org metadata interoperability FAIR(meta)data metadata schemas crosswalk research data schemas 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论] TP333[自动化与计算机技术—计算机科学与技术]