  Scientists are adopting new approaches to scale up their activities and
goals. Progress in neurotechnologies, artificial intelligence, automation, and
tools for collaboration promises new bursts of discoveries. However, compared
to other disciplines and the industry, neuroscience laboratories have been slow
to adopt key technologies to support collaboration, reproducibility, and
automation. Drawing on progress in other fields, we define a roadmap for
implementing automated research workflows for diverse research teams. We
propose establishing a five-level capability maturity model for operations in
neuroscience research. Achieving higher levels of operational maturity requires
new technology-enabled methodologies, which we describe as ``SciOps''. The
maturity model provides guidelines for evaluating and upgrading operations in
multidisciplinary neuroscience teams.
