Data journals: A survey

被引:78
作者
Candela, Leonardo [1 ]
Castelli, Donatella [1 ]
Manghi, Paolo [1 ]
Tani, Alice [1 ]
机构
[1] Italian Natl Res Council, Ist Sci & Tecnol Informaz A Faedo, I-56124 Pisa, Italy
关键词
publications; alternative publications; data; PUBLICATION; DISCIPLINES; QUALITY;
D O I
10.1002/asi.23358
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Data occupy a key role in our information society. However, although the amount of published data continues to grow and terms such as data deluge and big data today characterize numerous (research) initiatives, much work is still needed in the direction of publishing data in order to make them effectively discoverable, available, and reusable by others. Several barriers hinder data publishing, from lack of attribution and rewards, vague citation practices, and quality issues to a rather general lack of a data-sharing culture. Lately, data journals have overcome some of these barriers. In this study of more than 100 currently existing data journals, we describe the approaches they promote for data set description, availability, citation, quality, and open access. We close by identifying ways to expand and strengthen the data journals approach as a means to promote data set access and exploitation.
引用
收藏
页码:1747 / 1762
页数:16
相关论文
共 56 条
[2]  
[Anonymous], 2013, DATA SCI J, DOI [10.2481/dsj.OSOM13-043, DOI 10.2481/DSJ.OSOM13-043]
[3]  
[Anonymous], 2009, Microsoft Research
[4]  
[Anonymous], PRACTICES TRENDS REC
[5]  
[Anonymous], 2008, DUBL COR C
[6]  
[Anonymous], 2014, JOINT DECL DAT CIT P
[7]  
Asher A.D., 2013, Research Data Management: Principles, Practices
[8]  
Ball A., 2012, How to Cite Datasets and Link to Publications
[9]  
Bardi A., 2014, LIBER Q, V23
[10]   Beyond the Data Deluge [J].
Bell, Gordon ;
Hey, Tony ;
Szalay, Alex .
SCIENCE, 2009, 323 (5919) :1297-1298