Publishing Journal ›› 2017, Vol. 25 ›› Issue (1 ): 47-.

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Academic Journal Editors' Quality Reconstruction and Capacity Improvement in the Era of Big Data

  

  • Online:2017-01-15 Published:2017-01-15

Abstract:

In the era of big data, academic journal publishing business changed significantly. The publishing
process of periodicals is changed from linear to three-dimensional. The dependence on data has increased. The
issuing work is in the shift to digital. The outward tendency of editorial work is more obvious. Based on the new
situation, editors' quality of academic journal should be reconstructed. The excellent traditional editing qualities
should be carried forward and developed. Meanwhile, the qualities in conformity with big data publishing should be
constructed, such as data processing capability, content integration capability, all in communication capability and
innovation capability in the age of data. This paper submits three suggestions on improving editors' abilities. Firstly,
we should set up the idea of academic journal publishing and fostering data processing capability in the era of big
data. Secondly, we should practice basic editing service hardly, and also adhere to academic research. Finally, we
should cultivate big data perspective by going out.