陶氏化学公民数据科学项目

IF 6.2 Q1 CHEMISTRY, MULTIDISCIPLINARY
Kyle Andrews, Steven Arturo, Matt Benedict, Birgit Braun, Brian Clark, Simon Cook, Jaime Curtis-Fisk, Fabio D’Ottaviano, Tim Licquia, Peter Margl, Jonathan Moore, Lynette Naler, Parth Singh, Alix Schmidt, Anatoliy Sokolov, John Talbert and James Wade
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引用次数: 0

摘要

我们提出了公民数据科学(CDS)计划,这是一个数据素养计划,旨在研究与开发(R&;D)/技术服务与开发(TS&;D)人口,来自化学,材料科学,工程等传统学科的异质背景。CDS计划旨在通过为每位研究人员配备最佳管理、分析和交流数据的技能,促进最大限度地提高研究人员的生产力和福祉所需的文化变革,使他们能够在研发/技术研发组织中茁壮成长,这些组织本身正在经历数字化压力引发的深刻结构转型。道琼斯CDS计划已进入实施和改进的第四个年头;我们分享这个项目和我们的学习,希望它们对材料开发和邻近空间的其他研究人员有用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Citizen Data Science program at Dow†

We present the Citizen Data Science (CDS) program, a data literacy program aimed at a Research and Development (R&D)/Technical Service and Development (TS&D) population from a heterogeneous background of traditional disciplines such as chemistry, materials science, engineering and others. The CDS program aims to facilitate the culture change required for maximizing researcher productivity and wellbeing by equipping every researcher with the skills to best manage, analyze, and communicate their data, enabling them to thrive in R&D/TS&D organizations that themselves are going through profound structural transformation induced by the pressures of digitalization. The Dow CDS program is going through its fourth year of implementation and improvement; we share the program and our learnings in the hope that they may be useful to other researchers in the materials development and adjacent spaces.

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CiteScore
2.80
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