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相关概念视频

Statistical Software for Data Analysis and Clinical Trials01:12

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Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
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Statgraphics is a comprehensive statistical software suite designed for both basic and advanced data analysis. Originating in 1980 at Princeton University under Dr. Neil W. Polhemus, it was one of the pioneering tools for statistical computing on personal computers, with its public release in 1982 marking an early milestone in data science software. Over the years, it has evolved into a robust platform for data science, offering tools for regression analysis, ANOVA, multivariate statistics,...
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SAS, short for Statistical Analysis System, is a powerful data analysis, management, and visualization tool. Developed by the SAS Institute in the early 1970s, SAS has evolved into a comprehensive software suite used across various industries for statistical analysis, business intelligence, and predictive modeling.
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相关实验视频

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Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
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为学术数据科学咨询和协作单位发展合作伙伴关系.

Marianne Huebner1,2, Laura Bond3, Felesia Stukes4,5

  • 1Center for Statistical Training and Consulting, Michigan State University, East Lansing, Michigan, USA.

Stat (International Statistical Institute)
|September 6, 2024
PubMed
概括

数据科学咨询和协作单位 (DSU) 是重要的研究基础设施. 成功的DSU通过战略伙伴关系壮成长,以可持续增长和有效合作的六个关键原则为指导.

关键词:
生物信息学是一种生物信息学.生物统计学 生物统计学图像分析图像分析社会科学 社会科学 社会科学

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科学领域:

  • 研究基础设施 研究基础设施
  • 数据科学数据科学数据科学
  • 高等教育 高等教育

背景情况:

  • 数据科学咨询和协作单位 (DSU) 对现代研究至关重要.
  • 这些单元支持从数据管理到预测建模的各种活动.
  • DSU需要战略伙伴关系才能在大学内有效运作.

研究的目的:

  • 为DSU提供关于建立和管理成功合作伙伴关系的指导.
  • 概述促进合作和确保DSU价值的关键原则.
  • 适应各种DSU组织模式的伙伴关系策略.

主要方法:

  • 总结了针对 DSU 伙伴关系的六个核心规则的指导.
  • 规则是从各种各样的分网用户的经验中得出的.
  • 用示例说明规则的适应性.

主要成果:

  • 成功的DSU合作伙伴关系的六个规则:与战略保持一致,适合使命,确保可持续性,定义期望,沟通和期望意想不到的.
  • 伙伴关系协议对于定义范围,持续时间,人员,成本和评估至关重要.
  • 数据传输用户是有价值的组织资产,需要进行战略投资.

结论:

  • 战略伙伴关系对于勃发展的DSU至关重要.
  • 清晰的期望和沟通对于高质量的合作至关重要.
  • 投资于DSU可以产生显著的机构价值.