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

• Type: Article in International Scientific Journal
• Date: 2025

Authors

Carvalho, T (Author) Other; antunes, l (Author) FCUP; Cristina Costa Santos (Author) FMUP; Moniz, N (Author) Other

Journal

Title: Scientific Data

Vol. 12

Initial page: 248

Publisher: Springer Nature

Indexing

ISI Web of Knowledge - 0 Citations

Scopus - 0 Citations

Other information

Authenticus ID: 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 13