Study goals
To propose a protocol for standardizing a database of COVID-19 diagnostic and therapeutic solutions as a source of information for open innovation.
Relevance / originality
The lack of uniform standards prevents interoperability between systems, making comparative analysis and global collaboration difficult. Standardization is crucial to improving data accessibility and transparency, which in turn fosters open innovation, inter-institutional, and international collaboration.
Methodology / approach
The proposal includes data format normalization, inclusion and exclusion criteria, and interoperability guidelines, enabling effective aggregation of INPADOC data. The study presents use cases of the proposed protocol, considering data from COVID-19 diagnostic and therapeutic solutions.
Main results
The results demonstrate the positive impact of data standardization, highlighting its relevance to open innovation, public health, and technological advancement.
Theoretical / methodological contributions
The systematization of a standardization protocol enables the mapping of established patterns and emerging pathways, enhances the discovery of new treatments, and improves crisis response strategies.
Social / management contributions
The standardization of databases is essential for maximizing the effectiveness of solutions in combating global health emergencies, contributing to public health and promoting open innovation.