Resumo:
Data reuse refers to the secondary use of data—not for
its original purpose but for studying new problems.
Although reusing data might not yet be the norm in
every discipline, the benefits of reusing shared data
have been asserted by a number of researchers, and
data reuse has been a major concern in many disciplines.
Assessing data for trustworthiness becomes
important in data reuse with the growth in data creation
because of the lack of standards for ensuring data quality
and potential harm from using poor-quality data. This
research explores many facets of data reusers’ trust in
data generated by other researchers focusing on the
trust judgment process with influential factors that
determine reusers’ trust. The author took an interpretive
qualitative approach by using in-depth semistructured
interviews as the primary research method. The study
results suggest different stages of trust development
associated with the process of data reuse. Data reusers’
trust may remain the same throughout their experiences,
but it can also be formed, lost, declined, and recovered
during their data reuse experiences. These various
stages reflect the dynamic nature of trust.