  Reproducibility should be a cornerstone of scientific research and is a
growing concern among the scientific community and the public. Understanding
how to design services and tools that support documentation, preservation and
sharing is required to maximize the positive impact of scientific research. We
conducted a study of user attitudes towards systems that support data
preservation in High Energy Physics, one of science's most data-intensive
branches. We report on our interview study with 12 experimental physicists,
studying requirements and opportunities in designing for research preservation
and reproducibility. Our findings suggest that we need to design for motivation
and benefits in order to stimulate contributions and to address the observed
scalability challenge. Therefore, researchers' attitudes towards communication,
uncertainty, collaboration and automation need to be reflected in design. Based
on our findings, we present a systematic view of user needs and constraints
that define the design space of systems supporting reproducible practices.
