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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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R is a powerful software environment for statistical computing and graphics. Originating as an implementation of the S language, developed at Bell Laboratories, R has evolved into a robust, open-source statistical software favored by statisticians and data scientists worldwide. Its comprehensive suite includes data manipulation, calculation, and graphical display capabilities, making it versatile for data analysis and visualization. Its programming language is at the core of R's...
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Today, scientists agree that good research is ethical in nature and is guided by a basic respect for human dignity and safety. However, this has not always been the case. Modern researchers must demonstrate that the research they perform is ethically sound.
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Updated: Mar 14, 2026

The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm
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代码超越公平:可重复使用的研究软件的路线图.

Roberto Di Cosmo1,2, Sabrina Granger3, Konrad Hinsen4,5

  • 1Inria Paris, Paris, France.

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|March 13, 2026
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此摘要是机器生成的。

本文提出了一份改善研究软件的路线图,重点关注其独特的特性以及与自由开源软件原则的联系,以提高可重复性.

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科学领域:

  • 计算机科学 计算机科学
  • 软件工程 软件工程 软件工程
  • 科学研究 科学研究

背景情况:

  • 公平原则促进数据共享和重复使用.
  • 研究软件与静态数据不同,是动态的,需要特定的方法.
  • 目前的生态系统缺乏研究软件管理的标准化实践.

研究的目的:

  • 为研究软件适应FAIR原则.
  • 为改善研究软件质量和可访问性提出一个分层路线图.
  • 让各种各样的利益相关者参与研究软件生命周期.

主要方法:

  • 分析研究数据和研究软件之间的差异.
  • 审查自由和开源软件的最佳实践.
  • 制定包括利益相关者在内的分层路线图.

主要成果:

  • 确定研究软件管理中的关键挑战.
  • 一个结构化,分层的路线图,用于增强研究软件.
  • 考虑各种利益相关者的需求,包括研究人员,机构,资助者,图书馆和出版商.

结论:

  • 研究软件需要超越传统数据管理的定制方法.
  • 为了改进研究软件,一个协作,分层的战略是必不可少的.
  • 实施拟议的路线图可以促进更大的研究可重复性和重用性.