Visualization and knowledge discovery in metadata enriched aggregated data repositories harvesting from Scopus and Web of Science
Our objective was to visualize scientific published production in order to discover how Slovenian researchers registered in six principal disciplines (Biotechnical sciences (agriculture and related) Engineering sciences technologies, Humanities, Medical sciences, Natural sciences mathematics, Social sciences) relate to each other in co authorship maps and which patterns are identifiable on different levels of subject categorization. 65,000 unified (duplicates excluded) records (1996 2014) were harvested from Scopus and Web of Science, and linked to COBISS (Co operative Online Bibliographic System Services) enriched by SICRIS classification data (Slovenian CRIS) COBISS/SciMet (COBISS Scientometrics) extracts large metadata sets for the purposes of metrics. VOSviewer was employed for visualization as a method of Big data analytics. Some disciplines cooperate within more uniform clusters: medicine, and especially humanities and social sciences. Natural sciences show the strongest interdisciplinary characteristics occurring in several different clusters together with other disciplines/fields/subfields. Biotechnical research cooperates most strongly with natural sciences and to some extent medicine.