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Data journals: A survey
Author(s) -
Candela Leonardo,
Castelli Donatella,
Manghi Paolo,
Tani Alice
Publication year - 2015
Publication title -
journal of the association for information science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.903
H-Index - 145
eISSN - 2330-1643
pISSN - 2330-1635
DOI - 10.1002/asi.23358
Subject(s) - computer science , data science , publishing , citation , data quality , data publishing , quality (philosophy) , data sharing , set (abstract data type) , open data , key (lock) , data set , big data , work (physics) , world wide web , political science , data mining , business , engineering , computer security , marketing , philosophy , alternative medicine , artificial intelligence , law , metric (unit) , pathology , epistemology , programming language , medicine , mechanical engineering
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.