An Assessment of Data Guidelines in Cryopreservation Laboratories

• Autor(a) principal: Fernandes, Ana
• Data de Publicação: 2021
• Outros Autores: Figueiredo, Margarida, Neves, José, Vicente, Henrique
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: http://hdl.handle.net/10174/30257; https://doi.org/10.1145/3459104.345920
• topic: Artificial Neural Networks; Cryopreservation Laboratories; Data Protection; General Data Protection Regulation; Privacy and Security

On May 25, 2018, the General Data Protection Regulation (GDPR) entered into force in the European Union, which is of the utmost importance for monitoring its accomplishment by all organizations, especially those working in the health sector. However, it turns into a very difficult task, i.e., in order to meet this challenge, a practicable problem-solving methodology had to be developed and tested, that lead to a soft approach to computing using Artificial Neural Networks. On the other hand, the method chosen for data collection was the inquiry by questionnaire, in which 156 employees participated. The proposed system has an accuracy of about 90%, which can diagnose the fragility of the laboratory and encourage future improvements to ensure a high level of data protection.