Desarrollo de un prototipo informático de soporte para gestionar conjuntos de datos de inventarios de ciclo de vida representativos del contexto ecuatoriano

Abstract

Environmental impact research and monitoring projects currently generate a large volume of data with different storage formats. Initiatives focused on organizing and evaluating such data need an organization within what is known as an environmental database. Therefore, thanks to technological advances in hardware and software for the storage and visualization of information, the expectations of consultants and clients regarding the data management obtained throughout the project's life cycle have also increased. Given these expectations, there is a need to create a prototype focused on storing and managing environmental meta-information essential data to know the path of a product. To this end, the prototype was built with the agile methodology called SCRUM, based on teamwork generating results in a given period. Additionally, various technologies were used to develop the application, such as the Python programming language, the PostgreSQL database management system, and the Django Rest Framework development framework. The practical contribution of the research is the development of a prototype for web implementation, which manages information from life cycle analysis (LCA) files. One or several users have access to the meta-information of the LCA files obtained by the life cycle inventory (LCI). These data are published in the environmental database implemented as the prototype. Users can make personalized queries on the meta-information and have more specific and relevant data for their interests. They can also analyze the path of the information through different versions. In this manner, it is concluded that, by developing the web prototype, its implementation, and testing, this titling work supports the registration and analysis of environmental meta-information to manage life cycle inventories.