图 书 馆
大量的数据，数字化科学和可重复性的结果Massive data, the digitalization of science, and reproducibility of result |
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| 课程网址: | http://videolectures.net/cerncolloquium_stodden_result/ |
| 主讲教师: | Victoria Stodden |
| 开课单位: | 耶鲁大学 |
| 开课时间: | 2012-03-09 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | As the scientific enterprise becomes increasingly computational and data-driven, the nature of the information communicated must change. Without inclusion of the code and data with published computational results, we are engendering a credibility crisis in science. Controversies such as ClimateGate, the microarray-based drug sensitivity clinical trials under investigation at Duke University, and retractions from prominent journals due to unverified code suggest the need for greater transparency in our computational science. In this talk I argue that the scientific method be restored to (1) a focus on error control as central to scientific communication and (2) complete communication of the underlying methodology producing the results, ie. reproducibility. I outline barriers to these goals based on recent survey work (Stodden 2010), and suggest solutions such as the “Reproducible Research Standard” (Stodden 2009), giving open licensing options designed to create an intellectual property framework for scientists consonant with longstanding scientific norms. |
| 关 键 词: | 科学研究; 统计; 重复性结果 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2021-01-27：chenxin |
| 阅读次数: | 43 |