A Data Quality Evaluation Index for Data Journals

被引：2

作者：

Kong, Lihua ^{[1
,2
,3
]}

Xi, Yan ^{[3
]}

Lang, Yangqin ^{[3
]}

Wang, Yang ^{[3
]}

Zhang, Qingfei ^{[3
]}

机构：

[1] Chinese Acad Sci, Natl Sci Lib, Beijing 100190, Peoples R China

[2] Univ Chinese Acad Sci, Dept Lib Informat & Arch Management, Sch Econ & Management, Beijing 100409, Peoples R China

[3] Chinese Acad Sci, Comp Network Informat Ctr, Beijing 100190, Peoples R China

来源：

BIG SCIENTIFIC DATA MANAGEMENT | 2019年 / 11473卷

关键词：

Data publication; Data quality; Data journal; Data paper; Peer review;

D O I：

10.1007/978-3-030-28061-1_29

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

As a new model of data sharing, data publication requires data to be reviewed and published together with a data descriptor. The peer review process of data publication is very different from that of traditional academic papers. It is still in a preliminary stage and awaits further discussion. This study proposes a data quality evaluation index system for data publishing, which aims to enable high-efficiency data sharing and make data accessible, intelligible, evaluable, and reusable.

引用

页码：291 / 300

页数：10

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