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Data journals: A survey
Candela, L.; Castelli, D.; Manghi, P.; Tani, A. (2015). Data journals: A survey. JASIST 66(9): 1747-1762.
In: Journal of the Association for Information Science and Technology. Wiley: Hoboken. ISSN 2330-1635; e-ISSN 2330-1643, more
Peer reviewed article  

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Author keywords
    publications; alternative publications; data

Authors  Top 
  • Candela, L.
  • Castelli, D.
  • Manghi, P.
  • Tani, A.

    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.

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