FAIR Data Point: A FAIR-Oriented Approach for Metadata Publication

IF 1.3 3区 计算机科学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Data Intelligence Pub Date : 2022-08-10 DOI:10.1162/dint_a_00160
Luiz Olavo Bonino da Silva Santos, K. Burger, R. Kaliyaperumal, Mark D. Wilkinson
{"title":"FAIR Data Point: A FAIR-Oriented Approach for Metadata Publication","authors":"Luiz Olavo Bonino da Silva Santos, K. Burger, R. Kaliyaperumal, Mark D. Wilkinson","doi":"10.1162/dint_a_00160","DOIUrl":null,"url":null,"abstract":"ABSTRACT Metadata, data about other digital objects, play an important role in FAIR with a direct relation to all FAIR principles. In this paper we present and discuss the FAIR Data Point (FDP), a software architecture aiming to define a common approach to publish semantically-rich and machine-actionable metadata according to the FAIR principles. We present the core components and features of the FDP, its approach to metadata provision, the criteria to evaluate whether an application adheres to the FDP specifications and the service to register, index and allow users to search for metadata content of available FDPs.","PeriodicalId":34023,"journal":{"name":"Data Intelligence","volume":"5 1","pages":"163-183"},"PeriodicalIF":1.3000,"publicationDate":"2022-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Data Intelligence","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1162/dint_a_00160","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 14

Abstract

ABSTRACT Metadata, data about other digital objects, play an important role in FAIR with a direct relation to all FAIR principles. In this paper we present and discuss the FAIR Data Point (FDP), a software architecture aiming to define a common approach to publish semantically-rich and machine-actionable metadata according to the FAIR principles. We present the core components and features of the FDP, its approach to metadata provision, the criteria to evaluate whether an application adheres to the FDP specifications and the service to register, index and allow users to search for metadata content of available FDPs.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
公平数据点:一种面向公平的元数据发布方法
元数据是关于其他数字对象的数据,在公平中起着重要作用,与公平的所有原则直接相关。在本文中,我们提出并讨论了FAIR数据点(FDP),这是一种软件架构,旨在定义一种根据FAIR原则发布语义丰富且机器可操作的元数据的通用方法。我们介绍了FDP的核心组件和功能,它提供元数据的方法,评估应用程序是否遵守FDP规范的标准,以及注册、索引和允许用户搜索可用FDP的元数据内容的服务。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Data Intelligence
Data Intelligence COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
6.50
自引率
15.40%
发文量
40
审稿时长
8 weeks
期刊最新文献
The Limitations and Ethical Considerations of ChatGPT Rule Mining Trends from 1987 to 2022: A Bibliometric Analysis and Visualization Classification and quantification of timestamp data quality issues and its impact on data quality outcome BIKAS: Bio-Inspired Knowledge Acquisition and Simulacrum—A Knowledge Database to Support Multifunctional Design Concept Generation Exploring Attentive Siamese LSTM for Low-Resource Text Plagiarism Detection
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1