  Reproducibility should be a cornerstone of science as it enables validation
and reuse. In recent years, the scientific community and the general public
became increasingly aware of the reproducibility crisis, i.e. the wide-spread
inability of researchers to reproduce published work, including their own.
Scientific research is increasingly focused on the creation, observation,
processing, and analysis of large data volumes. On the one hand, this
transition towards computational and data-intensive science poses new
challenges for research reproducibility and reuse. On the other hand, increased
availability and advances in computation and web technologies offer new
opportunities to address the reproducibility crisis. This thesis reports on
user-centered design research conducted at CERN, a key laboratory in
data-intensive particle physics.
  In this thesis, we build a wider understanding of researchers' interactions
with tools that support research documentation, preservation, and sharing. From
a Human-Computer Interaction (HCI) perspective the following aspects are
fundamental: (1) Characterize and map requirements and practices around
research preservation and reuse. (2) Understand the wider role and impact of
research data management (RDM) tools in scientific workflows. (3) Design tools
and interactions that promote, motivate, and acknowledge reproducible research
practices. Research reported in this thesis represents the first systematic
application of HCI methods in the study and design of interactive tools for
reproducible science. We advocate the unique role of HCI in supporting,
motivating, and transforming reproducible research practices through the design
of tools that enable effective RDM. This thesis paves new ways for interaction
with RDM tools that support and motivate reproducible science.
