Proposta de uma arquitetura para um software de pesquisa online adequado a lei geral de proteção de dados

Abstract

The general objective of this final project was to develop an architectural proposal for an online survey system with the functionality of dynamically disseminating results, updating data as users respond, and that allows the anonymization of the disclosed data to meet the criteria defined by the General Data Protection Law (LGPD). To achieve this, the specific objectives include the preparation of a bibliographic survey on online surveys and their positive and negative points, the presentation of existing studies on software architectures that meet the requirements for anonymizing personal data, and a proposal for a software architecture that meets both the privacy requirements defined in the LGPD and those of the main objective. The justification for this work lies in the wide applicability of online survey tools for society and the need to meet a specific scenario of dynamic dissemination of results, while at the same time paying attention to the privacy of the individuals surveyed, as required by the LGPD. This problem also allowed the application of knowledge acquired during the course, especially in software analysis and modeling. The methodology to arrive at the proposal involved consulting theoretical concepts about research and data privacy and analyzing related works that present examples of architectures for anonymization, which served as inspiration for the development of the proposed architecture that is the main result of the work. The proposed architecture uses the client-server model and is divided into four parts: Research Definition, Online Research, Server and Publication.