Data journals: A survey

@article{Candela2015DataJA,
  title={Data journals: A survey},
  author={Leonardo Candela and Donatella Castelli and Paolo Manghi and Alice Tani},
  journal={Journal of the Association for Information Science and Technology},
  year={2015},
  volume={66}
}
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… 
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100 Citations
Highly Influential Citations
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100 Citations

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Citation Type

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Part of the new ecosystem of open and data-driven science, data papers and data journals are an interesting and relevant object for the assessment and understanding of the transition of the former system of academic publishing.
An analysis of characteristics and structures embedded in data papers: a preliminary study
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This study aimed to build up a common structural framework to investigate the embedded characteristics and structures of the content of data papers by using a content analysis approach, and 26 data journals from 16 publishers were selected as subject.
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The unique advantages of data journals are described and the data journal landscape is examined, presenting the characteristics of 13 data journals in the fields of biology, environmental science, chemistry, medicine and health sciences.
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This work addresses research data management from a disciplined yet flexible point of view, focusing on domain-specific metadata models embedded in intuitive tools, to make it easier for researchers to publish their datasets.
Theory and practice of data citation
  • G. Silvello
  • Computer Science
    J. Assoc. Inf. Sci. Technol.
  • 2018
TLDR
This paper aims to describe the lay of the land for data citation, both from the theoretical (the why and what) and the practical (the how) angle.
On research data publishing
TLDR
This work states that data publishing is a multifaceted process that can occur at different stages of the scientific process, involves different levels of openness and controlled sharing and concerns data products at various levels of manipulation and maturity.
An analysis of data paper templates and guidelines: types of contextual information described by data journals
TLDR
It is implied that data journals should provide a more standardized set of data paper components to inform reusers of relevant contextual information in a consistent manner.
Are Scientific Data Repositories Coping with Research Data Publishing?
TLDR
This study analyses the solutions offered by generalist scientific data repositories, i.e., repositories supporting the deposition of any type of research data, and emerges that these repositories implement well consolidated practices and pragmatic solutions for literature repositories.
Data bibliometrics: metrics before norms
TLDR
The paper finds that the diversity of data and its citation precludes the drawing of any simple conclusions about how to measure the impact of data, and an over emphasis on metrics before norms of behaviour have become established may adversely affect the data ecosystem.
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