DCSO:面向机器可操作数据管理计划的本体。

IF 2 3区 工程技术 Q3 MATHEMATICAL & COMPUTATIONAL BIOLOGY
João Cardoso, Leyla J Castro, Fajar J Ekaputra, Marie C Jacquemot, Marek Suchánek, Tomasz Miksa, José Borbinha
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引用次数: 7

摘要

数据管理计划(DMP)的概念已经成为帮助研究人员系统管理数据的基本工具。研究数据联盟DMP通用标准(DCS)工作组开发了一套描述DMP的通用概念,以便将其表示为机器可操作的工件,即机器可操作的数据管理计划(maDMP)。当前maDMP规范的技术不可知方法:(i)没有明确地链接到相关的数据模型或本体,(ii)没有标准化的方法来描述受控词汇表,(iii)是可扩展的,但没有明确的机制来区分核心规范及其扩展。本文报告了一个社区为创建DMP公共标准本体(DCSO)所做的努力,该本体是DCS核心概念的序列化,特别侧重于本体组件的详细描述。我们的初步结果表明,提议的DCSO可以成为DMP通用标准参考序列化的合适候选。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

DCSO: towards an ontology for machine-actionable data management plans.

DCSO: towards an ontology for machine-actionable data management plans.

DCSO: towards an ontology for machine-actionable data management plans.

DCSO: towards an ontology for machine-actionable data management plans.

The concept of Data Management Plan (DMP) has emerged as a fundamental tool to help researchers through the systematical management of data. The Research Data Alliance DMP Common Standard (DCS) working group developed a set of universal concepts characterising a DMP so it can be represented as a machine-actionable artefact, i.e., machine-actionable Data Management Plan (maDMP). The technology-agnostic approach of the current maDMP specification: (i) does not explicitly link to related data models or ontologies, (ii) has no standardised way to describe controlled vocabularies, and (iii) is extensible but has no clear mechanism to distinguish between the core specification and its extensions.This paper reports on a community effort to create the DMP Common Standard Ontology (DCSO) as a serialisation of the DCS core concepts, with a particular focus on a detailed description of the components of the ontology. Our initial result shows that the proposed DCSO can become a suitable candidate for a reference serialisation of the DMP Common Standard.

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来源期刊
Journal of Biomedical Semantics
Journal of Biomedical Semantics MATHEMATICAL & COMPUTATIONAL BIOLOGY-
CiteScore
4.20
自引率
5.30%
发文量
28
审稿时长
30 weeks
期刊介绍: Journal of Biomedical Semantics addresses issues of semantic enrichment and semantic processing in the biomedical domain. The scope of the journal covers two main areas: Infrastructure for biomedical semantics: focusing on semantic resources and repositories, meta-data management and resource description, knowledge representation and semantic frameworks, the Biomedical Semantic Web, and semantic interoperability. Semantic mining, annotation, and analysis: focusing on approaches and applications of semantic resources; and tools for investigation, reasoning, prediction, and discoveries in biomedicine.
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