Global Trends in Data Integration Systems: A Bibliometric and Patent Analysis for 2013–2023

International Journal of Electronics and Communication Engineering

© 2024 by SSRG - IJECE Journal

Volume 11 Issue 9

Year of Publication : 2024

Authors : Samiya TAMTAM, Ahmed LAGUIDI, Abderafiaa ELKALAY

10.14445/23488549/IJECE-V11I9P113

How to Cite?

Samiya TAMTAM, Ahmed LAGUIDI, Abderafiaa ELKALAY, "Global Trends in Data Integration Systems: A Bibliometric and Patent Analysis for 2013–2023," SSRG International Journal of Electronics and Communication Engineering, vol. 11,  no. 9, pp. 135-148, 2024. Crossref, https://doi.org/10.14445/23488549/IJECE-V11I9P113

Abstract:

Data Integration Systems (DIS) represent the processes and technologies leveraged to combine data from ‎different sources and formats into a unified and coherent view to provide a complete and coherent data set for ‎analysis and reporting, decision making.‎To evaluate the global trends in DIS‎. We employed both bibliometric and ‎patent analyses. This research investigates the worldwide output of scientific studies and patented innovations ‎in the field of DIS. By examining databases such as Scopus for academic articles and Lens Patents for patent ‎information from 2013 to 2023, and by answering the following questions: What are the main publications and countries that have contributed to the advancement of DIS? What are the emerging trends in patents in this field? and How are collaboration and innovation networks structured on a global scale?. The examination of 1038 articles and 17 patents reveals a ‎continuous spanning growth trend, offering a comprehensive overview of identifying trends in the fields and ‎general cultures in this disciplinary field, understanding gaps in projects and ideas‎, identifying the main actors on ‎DIS‎, Monitoring capturing developments‎ identifying avenues for collaboration, allowing to detect innovative ‎techniques and avoid unnecessary repetition of research work.

Keywords:

Data integration systems, Patent data analysis, Lens, Scopus, Scientific evolution, Bibliometric analysis.

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