- 引言
- 論文寫作
- 寫作 - 我應該做什麼以及為什麼?
- 寫作 - 我應該使用哪些工具?
- 寫作 - 更多提示和問題
- 發表
- 發表 - 我應該做什麼以及為什麼？
- 發表 - 我應該使用哪些工具？
- 出版 - 更多提示和問題
- 同行評審
- 同行評審 - 我應該做什麼以及為什麼？
- 同行評審 - 我應該使用哪些工具？
- 同儕審查 - 進一步的提示與問題
- 資料共享
- 資料共享 - 我應該做什麼以及為什麼？
- 資料共享 - 我應該使用哪些工具？
- 數據分享 - 進一步的提示和問題
- 科學部落格
- 部落格 - 我應該做些什麼以及為什麼？
- 部落格 - 我應該使用哪些工具？
- 部落格 - 進階提示與問題
- 科學程式碼
- 科學程式碼 - 我應該做什麼以及為什麼？
- 科學程式碼 - 我應該使用什麼工具？
- 科學代碼 - 進一步的提示和問題
- 科學中的社交媒體
- 社交媒體 - 我應該做什麼以及為什麼？
- 社交媒體 - 我應該使用什麼工具？
- 社交媒體 - 更多提示和問題
- 科學教學
- 教學 - 我應該做什麼以及為什麼？
- 教學 - 我應該使用哪些工具？
- 教學 - 進一步的提示和問題
- 書籍
- 書籍 - 我應該做什麼以及為什麼？
- 書籍 - 我應該使用哪些工具？
- 書籍 - 進一步的提示和問題
- 內部科學溝通
- 內部溝通 - 我應該做什麼以及為什麼？
- 內部溝通 - 我應該使用哪些工具？
- 內部溝通 - 進一步的提示和問題
- 科學講座
- 科學講座 - 我應該做什麼以及為什麼？
- 科學講座 - 我應該使用什麼工具？
- 科學講座 - 進一步的提示和問題
- 閱讀科學論文
- 閱讀科學論文 - 我應該做什麼以及為什麼？
- 閱讀科學論文 - 我應該使用哪些工具？
- 閱讀科學論文 - 更多提示和技巧
- 信用
- 信用 - 我應該做什麼以及為什麼？
- 信用 - 我應該使用哪些工具？
- 信用 - 更多提示和問題
- 職業規劃
- 職業規劃 - 我應該做什麼以及為什麼？
- 職業規劃 - 我應該使用什麼工具？
- 您的線上身份
- 您的線上身份 - 我應該做什麼以及為什麼？
- 您的線上身份 - 您應該使用哪些工具？
- 您的線上身份 - 更多提示和技巧
- 關於作者
- 您應該效仿我嗎？
How to be a modern scientist (繁體中文版)
This book is a translation into Chinese (Traditional) of How to be a modern scientist which was originally written in English
The authors are letting you choose the price you pay for this book!
關於如何以現代、開源方式成為科學家的書籍。
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About
About the Book
學術界的面貌正在改變。單是發表或淹沒已經不夠了。我們現在生活在一個Twitter, Github, Figshare, 和 Alt Metrics已經成為科學工作流程的常見部分的時代。我在這裡提供高層次的建議，關於要使用哪些工具，如何使用它們，以及需要注意哪些地方。這本書適合所有階段的科學家，他們想要跟上影響現代科學職業生涯的最新技術發展。這本書部分基於作者的熱門指南，包括審查論文、閱讀論文、職業規劃、演講的指南。
這本書更適合科學領域的研究生和博士後，但對於其他希望利用現代工具改進科研流程的人也可能感興趣。
關於作者：Jeff Leek 是Johns Hopkins Bloomberg公共衛生學院的生物統計學副教授。他是Coursera上的Johns Hopkins Data Science Specialization的共同創辦人和共同主任，已有超過300萬有志成為數據科學家的人報名參加。他的研究對我們理解大腦發育、直接外力創傷和癌症的基因基礎有所貢獻。他在Simply Statistics上寫博客，並可以在Twitter上找到他：@jtleek 和 @simplystats
This book is a translation into Chinese (Traditional) of How to be a modern scientist which was originally written in English
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Pick Your Price...
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You pay
$10.00Authors earn
$8.00Author
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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