Optimizing Compliance: Comparative Study of Data Laws and Privacy Frameworks Extended Abstract

• Lucas Dalle Rocha UnB / Aalto University
• Edna Dias Canedo UnB

DOI: https://doi.org/10.5753/cbsoft_estendido.2025.11519

Resumo

The study explores challenges in complying with multiple data privacy laws with a Systematic Literature Review (SLR), assessing similarities and differences among them. After validation through a survey, findings highlighted a lack of theoretical and practical knowledge about Brazil’s General Data Protection Law (LGPD). Using Framework Analysis, we proposed a tool by correlating key legislative points and providing insights into data privacy compliance.

Referências

Anwar, M. J., Gill, A., and Beydoun, G. (2018). A review of australian information privacy laws and standards for secure digital ecosystems. In Australasian Conference on Information Systems, ACIS 2018, Sydney, NSW, Australia, 3-5 December 2018, page 36.

Canedo, E. D., Calazans, A. T. S., Bandeira, I. N., Costa, P. H. T., and Masson, E. T. S. (2022). Guidelines adopted by agile teams in privacy requirements elicitation after the brazilian general data protection law (LGPD) implementation. Requir. Eng., 27(4):545–567.

Hornuf, L., Mangold, S., and Yang, Y. (2023). Data protection law in germany, the united states, and china. In Data Privacy and Crowdsourcing: A Comparison of Selected Problems in China, Germany and the United States, pages 19–79. Springer.

Lorenzon, L. N. (2021). Análise comparada entre regulamentações de dados pessoais no Brasil e na União Europeia (LGPD e GDPR) e seus respectivos instrumentos de enforcement. Centro de Excelência Jean Monnet da FGV Direito Rio.

Rocha, L. D. and Canedo, E. D. (2024). Supplementary Material for Comparative Analysis of Data Protection Laws and Privacy Frameworks: Optimizing Solutions for Compliance with LGPD and International Data Sharing Laws.

Rocha, L. D. and Canedo, E. D. (2025). Optimizing compliance: Comparative study of data laws and privacy frameworks. Journal of Internet Services and Applications, 16(1):431–452.

Sangaroonsilp, P., Dam, H. K., Choetkiertikul, M., Ragkhitwetsagul, C., and Ghose, A. (2023). A taxonomy for mining and classifying privacy requirements in issue reports. Inf. Softw. Technol., 157:107162.