材料科学数据发现的受控词汇表和元数据模式

Q2 Computer Science

Data Science Journal Pub Date : 2021-04-29 DOI:10.5334/DSJ-2021-018

Andrea Medina-Smith, C. Becker, R. Plante, L. Bartolo, A. Dima, J. Warren, R. Hanisch

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引用次数: 10

摘要

研究数据联盟(RDA)的国际材料资源注册(IMRR)工作组的成立是为了促进联合注册系统的初步发展，以便更容易地发现和访问材料数据。作为这项工作的一部分，在工作组成员和其他专家的贡献下，开发了受控词汇表和元数据模式。在这里，我们将描述这个过程、产生的词汇表和XML模式，以及在模式的开发和使用过程中获得的经验教训。

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A Controlled Vocabulary and Metadata Schema for Materials Science Data Discovery

The International Materials Resource Registries (IMRR) working group of the Research Data Alliance (RDA) was created to spur initial development of a federated registry system to allow for easier discovery and access to materials data. As part of this effort, a controlled vocabulary and metadata schema were developed with contributions from members of the working group and other experts. Here we describe the process, the resulting vocabulary and XML schema, and lessons learned in the development and use of the schema.

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来源期刊

Data Science Journal Computer Science-Computer Science (miscellaneous)

CiteScore

5.40

自引率

0.00%

发文量

审稿时长

10 weeks

期刊介绍： The Data Science Journal is a peer-reviewed electronic journal publishing papers on the management of data and databases in Science and Technology. Details can be found in the prospectus. The scope of the journal includes descriptions of data systems, their publication on the internet, applications and legal issues. All of the Sciences are covered, including the Physical Sciences, Engineering, the Geosciences and the Biosciences, along with Agriculture and the Medical Science. The journal publishes papers about data and data systems; it does not publish data or data compilations. However it may publish papers about methods of data compilation or analysis.