Empowering open data sharing for social good: a privacy-aware approach

• Tipo: Artigo em Revista Científica Internacional
• Data: 2025

Autores

Carvalho, T (Autor) Outra; antunes, l (Autor) FCUP; Cristina Costa Santos (Autor) FMUP; Moniz, N (Autor) Outra

Revista

Título: Scientific Data

Vol. 12

Página Inicial: 248

Editora: Springer Nature

Indexação

ISI Web of Knowledge - 0 Citações

Scopus - 0 Citações

Outras Informações

ID Authenticus: P-017-6WF

DOI: 10.1038/s41597-025-04506-x

Abstract (EN): The Covid-19 pandemic has affected the world at multiple levels. Data sharing was pivotal for advancing research to understand the underlying causes and implement effective containment strategies. In response, many countries have facilitated access to daily cases to support research initiatives, fostering collaboration between organisations and making such data available to the public through open data platforms. Despite the several advantages of data sharing, one of the major concerns before releasing health data is its impact on individuals' privacy. Such a sharing process should adhere to state-of-the-art methods in Data Protection by Design and by Default. In this paper, we use a Covid-19 data set from Portugal's second-largest hospital to show how it is feasible to ensure data privacy while improving the quality and maintaining the utility of the data. Our goal is to demonstrate how knowledge exchange in multidisciplinary teams of healthcare practitioners, data privacy, and data science experts is crucial to co-developing strategies that ensure high utility in de-identified data.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 13