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.

翻译：科学家们正采用新方法扩展其研究活动与目标。神经技术、人工智能、自动化及协作工具领域的进步预示着新一波科学发现的到来。然而，相较于其他学科及工业界，神经科学实验室在采用关键技术以支持协作、可重复性与自动化方面进展缓慢。借鉴其他领域的进展，我们为多元化研究团队实施自动化研究工作流制定了路线图。我们提议建立神经科学研究运营的五级能力成熟度模型。要实现更高层级的运营成熟度，需采用我们称之为"科学运营（SciOps）"的新兴技术驱动方法。该成熟度模型为多学科神经科学团队的运营评估与升级提供了指导方针。