A causal model to explain data reuse in science: a study in health disciplines

Abstract

and Areti Angeliki Veroniki (PhD). Thanks for all your time answering my questions during the interviews and for responding my emails. Without you, this dissertation would not exist.Second, I want to thanks my three PhD advisors for their intellectual and emotional support. Their different backgrounds have enriched my learning process, and contributed to the completion of this dissertation in varied ways. Choices and imperfections in this dissertation are my own. Thanks also to Ian Graham (PhD) and Sylvie Grosjean (PhD) for being my host mentors with the ERASMUS MUNDUS NOVADOMUS CHEMEDPHO scholarship (2016-2017), which funded me in order to conduct most of my empirical research in Canada. Thanks to Amparo Cortés Lucas (PhD), who was the coordinator of the NOVADOMUS CHEMEDPHO for all her support during my application, and my stay in Canada. Thanks to Ángela Villena Aleixos, for her patience and hard work in drawing with AUTOCAD all the versions of some images included in this dissertation and some other images, which I have finally decided to leave out.Thanks to all assessors and jury members who have accepted pleasingly to assess this dissertation, as either principals or substitutes. I am sure that they will do a very good job providing me with thoughtful feedback. Thanks to all administrative staff (Mila, Beatriz, Rosa) of the Departamento A causal model to explain data reuse in science: a study in health disciplines v de Comunicación Audiovisual, Documentación e Historia del Arte (UPV) for all their administrative support of all bureaucratic issues for the submission and defense of my dissertation.I am also grateful to very generous people, who I have met during my PhD and have contributed in varied aspects along the dissertation journey. I was very fortunate to find all of them on my way. They are my colleagues at INGENIO, especially -in no especial order-Isabel Piqueras,

An empirical examination of data reuser trust in a digital repository

“…It may be that the degree to which survey respondents experienced data scarcity was not enough to limit their opportunities to engage with and build trust in data repositories. This aligns with previous findings by Borrás (2020) who investigated the underlying mechanisms for data reuse. She found that researchers reused data even when they had a less than an optimal amount.…”