2023/06/16 by Matteo Busso, Busso, Matteo, Ricardo Acosta-Díaz +3
Computer Science · Decision Sciences · #Computers and Society (cs.CY) #Data Quality and Management #FOS: Computer and information sciences #Privacy-Preserving Technologies in Data #Semantic Web and Ontologies
paper · pdf · doi:10.48550/arxiv.2306.09759
openalex publication_date 2023/06/16 · openalex created_date 2023/06/20 · openalex updated_date 2026/08/03
The intensive flow of personal data associated with the trend of computerizing aspects of people's diversity in their daily lives is associated with issues concerning not only people protection and their trust in new technologies, but also bias in the analysis of data and problems in their management and reuse. Faced with a complex problem, the strategies adopted, including technologies and services, often focus on individual aspects, which are difficult to integrate into a broader framework, which can be of effective support for researchers and developers. Therefore, we argue for the development of an end-to-end research infrastructure (RI) that enables trustworthy diversity-aware data within a citizen science community.