BD Spokes: SPOKE: WEST: Accelerating and Catalyzing Reproducibility in Scientific Computation and Data Synthesis

科学领域的透明度和知识共享规范鼓励在先前发现的基础上进行新的研究，从而导致快速创新和显著的社会回报。这个项目建立了一个新的活动，以帮助使科学计算和数据科学更加透明和可访问。计算已经从辅助科学研究的工具发展成为基础科学发现发生的数字实验室。对于社会和生态科学来说，这种情况越来越明显，它们将大数据与计算模型相结合，以更好地理解社会和地球系统，这些系统的复杂动态是当今人类面临的许多重大挑战的基础。作为美国国家科学基金会大数据创新中心和Spoke网络的一个分支，该项目建立了下一代在线计算模型库（CMLX）。在CMLX中，用于社会科学和生态科学的计算模型的软件代码被发布，科学界和公众可以免费获得，并与一个报告相关基于模型的科学的科学论文的在线数据库相连。除了代码库之外，CMLX正在开发一个在线存储库，用于归档基于模型的科学的端到端工作流程，其中可以跟踪和复制整个研究过程，从数据合成到建模、分析和可视化。一个区域工作组——包括软件开发者、数据提供者和用户社区——将提供建议和专门知识，并帮助建立科学计算透明度和可及性的社区范围标准。CMLX使科学程序、模型和数据能够透明地访问，这些程序、模型和数据可用于评估备选方案、政策和假设的后果，从而对复杂耦合的人类和地球系统进行更可持续的管理。

Norms of transparency and knowledge sharing in science encourage new research to build on prior discoveries, leading to rapid innovation and significant societal returns. This project establishes a new activity to help make scientific computation and data science more transparent and accessible. Computation has evolved from tools for assisting scientific research to digital laboratories where fundamental scientific discoveries take place. This is increasingly so for social and ecological sciences, which are combining big data with computational models to better understand the social and earth systems whose complex dynamics underlie many of the grand challenges faced by humanity today. Organized as a Spoke in the National Science Foundation's Big Data Innovation Hub and Spoke network, this project establishes a next generation, online Computational Model Library (CMLX). In the CMLX, software code for computational models used in social and ecological sciences is published and freely accessible to the scientific community and general public, and linked with an online database of scientific papers reporting on associated model-based science. In addition to the code library, the CMLX is developing an online repository to archive end-to-end workflows of model-based science, where the entire research process can be followed and reproduced, from data synthesis, to modeling, analysis, and visualization. A regional Working Group - including software developers, data providers, and user communities - will provide advice and expertise, as well as help establish community-wide standards for transparency and accessibility in scientific computation. The CMLX is enabling transparent access to scientific procedures, models, and data that can be used to assess the consequences of alternative scenarios, policies, and assumptions for more sustainable management of complexly coupled human and earth systems.