Abstract
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.
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Kong, L., Xi, Y., Lang, Y., Wang, Y., Zhang, Q. (2019). A Data Quality Evaluation Index for Data Journals. In: Li, J., Meng, X., Zhang, Y., Cui, W., Du, Z. (eds) Big Scientific Data Management. BigSDM 2018. Lecture Notes in Computer Science(), vol 11473. Springer, Cham. https://doi.org/10.1007/978-3-030-28061-1_29
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DOI: https://doi.org/10.1007/978-3-030-28061-1_29
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