“…Data quality may be compromised by poor project design, varying data quality standards, non-experts' lack of commitment and skills, deliberate provision of fabricated data, and others (Balázs et al, 2021;Weber et al, 2019). Still, project elements and digital platforms can be designed to avoid, detect, and correct data issues (Kosmala et al, 2016;San Llorente Capdevila et al, 2020;Kasten et al, 2021). Relatedly, insufficient funding and resources are often pointed out owing to CS projects' duration (usually these are long-term projects and funding is temporary), and difficulty in evaluating them following the traditional funding frameworks (Gunnell et al, 2021;Hecker et al, 2018;Turrini et al, 2018).…”