Use of reverse engineering in open data mining in public administration: A literature review

Reverse engineering, when applied to open data mining, faces challenges such as accurately extracting information from heterogeneous data and integrating computer systems. This study aimed to explore and optimize the use of data mining techniques by applying reverse engineering to improve transparency, citizen participation, and combat disinformation through the use of digital platforms. The literature review methodology accessed the SCOPUS and EBSCO databases, processing 52 indexed scientific articles. The results determined that reverse engineering in open data significantly improves decision-making and the efficiency of public spending. Furthermore, it identifies and corrects inefficiencies in processes and increases transparency and accountability in public management. The study concluded that reverse engineering, combined with open data mining, facilitates the extraction and reuse of information, revealing hidden patterns and improving resource management. Technological adoption with training will offer benefits in efficiency and transparency in public administration.