A Research Computing and Data Capabilities Model for Strategic Decision-Making
A Research Computing and Data Capabilities Model for Strategic Decision-Making
复制标题
用于战略决策的研究计算和数据能力模型
DOI：
10.1145/3311790.3396643
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发表时间：
2020
期刊：
影响因子：
--
通讯作者：
T. Cheatham
中科院分区：
文献类型：
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作者：
P. Schmitz;Claire Mizumoto;J. Hicks;D. Brunson;G. Krovitz;James B. Bottum;J. Cutcher;Karen Wetzel;T. Cheatham
研究计算和数据正在以加速速度发生变化，而田野和学科的范围取决于网络基础设施正在扩大并变得越来越多样化。这给学术机构带来了重大挑战，因为他们试图有效地评估和计划必要的支持基础设施，以跟上研究人员的需求。我们提出了一个研究计算和数据能力模型，该模型识别了相关方法的范围，以完全支持和启用校园的研究计算和数据。该模型允许机构评估其当前功能，并使用共同的社区词汇为战略决策做出结构化输入。我们描述了模型的背景，模型的关键概念和特征以及相关的评估工具，社区中的初始经验以及所学的教训以及进一步发展的路线图。
Research Computing and Data is changing at an accelerating rate, while the range of fields and disciplines depending on the cyberinfrastructure is expanding and becoming increasingly diverse. This poses significant challenges to academic institutions as they try to effectively assess and plan for the necessary support infrastructure to keep pace with the needs of researchers. We present a Research Computing and Data Capabilities Model that identifies the range of relevant approaches to fully support and enable research computing and data on campuses. This model allows institutions to assess their current capabilities, and provides structured input into strategic decision making, using a shared community vocabulary. We describe the background of the Model, key concepts and features of the Model and an associated assessment tool, initial experience in the community and lessons learned, and a roadmap for further development.