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IEEE data descriptions
EI IEEE PubMed
IEEE Data Descriptions is a peer-reviewed journal that publishes short articles on all aspects of data: data descriptors, data collections, and metadata. Its overarching purpose is to promote publicly available datasets (open access or subscription-based access) in support of reproducible science while at the same time bringing insights into the associated dataset, data collection methods, and data quality. The metadata collected provides enhanced dataset discoverability and creates a foundation for future data science tools such as auto-discovery and mashups.
- 主办单位： IEEE
- 出版周期： 年刊
- 别名： IEEE Data Descr
- 创刊时间： 2024年
期刊信息
- 主办单位：IEEE
- 主 编：Stephen Makonin
- 地 址： --
- 电子邮件： smakonin@sfu.ca(Chief Editor,Stephen Makonin)
期刊简介
IEEE Data Descriptions is a peer-reviewed journal that publishes short articles on all aspects of data: data descriptors, data collections, and metadata. Its overarching purpose is to promote publicly available datasets (open access or subscription-based access) in support of reproducible science while at the same time bringing insights into the associated dataset, data collection methods, and data quality. The metadata collected provides enhanced dataset discoverability and creates a foundation for future data science tools such as auto-discovery and mashups.