- 引言
- 论文写作
- 写作 - 我应该做什么以及为什么?
- 写作 - 我应该使用什么工具?
- 写作 - 更多提示和问题
- 发布
- 发布 - 我应该做什么以及为什么?
- 发布 - 我应该使用哪些工具?
- 出版 - 进一步的提示和问题
- 同行评审
- 同行评审 - 我应该做什么以及为什么?
- 同行评审 - 我应该使用什么工具?
- 同行评审 - 进一步的提示和问题
- 数据共享
- 数据共享 - 我应该做什么以及为什么?
- 数据共享 - 我应该使用什么工具?
- 数据共享 - 进一步的提示和问题
- 科学博客写作
- 博客写作 - 我应该做什么以及为什么?
- 博客写作 - 我应该使用哪些工具?
- 博客 - 进一步的提示和问题
- 科学代码
- 科学代码 - 我应该做什么以及为什么?
- 科学代码 - 我应该使用哪些工具?
- 科学代码 - 更多提示和问题
- 科学中的社交媒体
- 社交媒体 - 我应该做什么以及为什么?
- 社交媒体 - 我应该使用什么工具?
- 社交媒体 - 更多提示和问题
- 科学教学
- 教学 - 我应该做什么以及为什么?
- 教学 - 我应该使用哪些工具?
- 教学 - 进一步的提示和问题
- 书籍
- 书籍 - 我应该做什么以及为什么?
- 书籍 - 我应该使用什么工具?
- 书籍 - 进一步的提示和问题
- 内部科学交流
- 内部交流 - 我应该做什么以及为什么?
- 内部交流 - 我应该使用哪些工具?
- 内部交流 - 进一步的提示和问题
- 科学报告
- 科学报告 - 我应该做什么以及为什么?
- 科学报告 - 我应该使用什么工具?
- 科学讲座 - 进一步的提示和问题
- 阅读科学论文
- 阅读科学论文 - 我应该做什么以及为什么?
- 阅读科学论文 - 我应该使用哪些工具?
- 阅读科学论文 - 更多技巧和窍门
- 学术认可
- 学术认可 - 我应该做什么以及为什么?
- 学术认可 - 我应该使用哪些工具?
- 学术认可 - 更多提示和问题
- 职业规划
- 职业规划 - 我应该做什么以及为什么?
- 职业规划 - 我应该使用哪些工具?
- 你的在线身份
- 你的在线身份 - 我应该做什么以及为什么?
- 你的在线身份 - 你应该使用哪些工具?
- 你的在线身份 - 进一步的提示和技巧
- 关于作者
- 你应该跟随我的脚步吗?
How to be a modern scientist (简体中文版)
The authors are letting you choose the price you pay for this book!
一本关于如何以现代、开放源代码的方式成为科学家的书。
About
About the Book
学术界的面貌正在改变。仅仅发表论文或销声匿迹已经不再足够。我们现在处于一个Twitter、Github、Figshare和Alt Metrics成为科学工作流程常规部分的时代。在这里,我给出了关于使用哪些工具,如何使用它们以及需要注意什么的高层次建议。这本书适合所有级别的科学家,他们希望跟上影响现代科学职业的当前技术发展。这本书部分基于作者的热门指南,包括
这本书可能最适合科学领域的研究生和博士后,但也可能对希望调整他们的科学过程以使用现代工具的其他人有兴趣。
关于作者:Jeff Leek 是约翰霍普金斯彭博公共卫生学院的生物统计学副教授。他是Coursera上的约翰霍普金斯数据科学专业的联合创始人和联合主任,已经招收了超过300万名有抱负的数据科学家。他的研究已经帮助我们理解大脑发育、钝力伤害和癌症的基因基础。他在Simply Statistics网站上撰写博客,并可以在Twitter上找到,地址是@jtleek和@simplystats
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About the Authors
Jeffrey Leek
Jeff is Chief Data Officer, Vice President, and J Orin Edson Foundation Chair of Biostatistics at the Fred Hutchinson Cancer Center. Previously, he was a professor of Biostatistics and Oncology at the Johns Hopkins Bloomberg School of Public Health and co-director of the Johns Hopkins Data Science Lab. His group develops statistical methods, software, data resources, and data analyses that help people make sense of massive-scale genomic and biomedical data. As the co-director of the Johns Hopkins Data Science Lab he helped to develop massive online open programs that have enrolled more than 8 million individuals and partnered with community-based non-profits to use data science education for economic and public health development. He is a Fellow of the American Statistical Association and a recipient of the Mortimer Spiegelman Award and Committee of Presidents of Statistical Societies Presidential Award.

Episode 19
An Interview with Jeffrey Leek
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