Data managment: a bibliometric approach

ABSTRACT

This study uses bibliometric techniques to identify the primordial characteristics of the production of scientific articles on Data Managment. Classified as applied in nature, with a quantitative approach and exploratory character, the research retrieves from the Web of Science, SCOPUS, ScienceDirect and Emerald databases, a total of 3,683 scientific articles published between 1963 and 2018. As an outcome, the paper reveals the trend of growth in the rhythm of publications on the topic addressed, which reached its peak in 2017 with 210 articles published. For the sample, Yin Zang is the most productive author with 18 papers and, by network analysis, H. Garcia-Molina is the most influential author. Among the most recurrent keywords, it emphasizes the concepts non-related to information technology - the term "human" with one of the most influential. The analysis of the journals highlights the superiority of the sources of research on technology, with a predominance of the theme "databases", but also highlights the presence of journals in the medical field and correlates.

Keywords:
Bibliometrics; Data managment; Bibliometricanalysis; Scientific production