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.

翻译：与人们日常生活中多样性方面计算机化趋势相关的个人数据密集流动，不仅涉及人员保护及其对新技术的信任问题，还涉及数据分析中的偏差以及数据管理和复用方面的挑战。面对这一复杂问题，包括技术和服务在内的现有策略往往聚焦于个别方面，难以整合到更广泛框架中，从而无法为研究人员和开发者提供有效支持。因此，我们主张开发一种端到端的研究基础设施（RI），以在公民科学社区内实现可信赖的多样性感知数据。