Data Modeling Review: The case of Vaccine Lifecycle Management

Abstract

Vaccination is essential, particularly in light of global challenges such as the COVID-19 pandemic. Effective vaccine management is critical; however, creating a comprehensive model for seamless data integration throughout the vaccine lifecycle presents significant challenges. This paper seeks to address these challenges by highlighting the need for a model that comprehensively tackles the complex nature of the vaccine lifecycle. By evaluating existing approaches, we suggest a framework based on Data Models and Product Lifecycle Management to improve vaccine lifecycle. This study offers a thorough examination of the recent situation and explores potential directions for future studies.In summary, our study highlights the crucial role of data models in vaccine lifecycle management, which are vital tools from development to distribution. Existing models such as STEP, CPM, and IPPOP provide valuable frameworks but require adaptation to fit the highly regulated environment of vaccine lifecycle management. Our future research will focus on refining data models for Vaccine Lifecycle Management (VLM) to boost efficiency and collaboration among stakeholders, addressing the specific demands of vaccine development and management