Global Trends in Data Integration Systems: A Bibliometric and Patent Analysis for 2013–2023
Year: 2024
Type: article
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.
Institutions: Mohammed V University, University of Hassan II Casablanca
Language: English
Subfield: Statistics, Probability and Uncertainty
Field: Decision Sciences
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4403345116