How to be a modern scientist (Edisi Indonesia)

How to be a modern scientist (Edisi Indonesia)

Tentang Buku

Wajah dunia akademis sedang berubah. Tidak lagi cukup hanya untuk menerbitkan karya atau menjadi terlupakan. Kita sekarang berada dalam era di mana Twitter, Github, Figshare, dan Alt Metrics menjadi bagian reguler dari alur kerja ilmiah. Di sini saya memberikan saran tingkat tinggi tentang alat-alat apa yang harus digunakan, bagaimana menggunakannya, dan apa yang harus diwaspadai. Buku ini cocok untuk ilmuwan di semua level yang ingin tetap mengikuti perkembangan teknologi terkini yang mempengaruhi karir ilmiah modern. Buku ini sebagian didasarkan pada panduan populer penulis termasuk panduan untuk

Buku ini mungkin paling cocok untuk mahasiswa pascasarjana dan peneliti postdoktoral dalam bidang ilmu pengetahuan, tetapi mungkin menarik bagi orang lain yang ingin menyesuaikan proses ilmiah mereka dengan menggunakan alat-alat modern.

Tentang penulis: Jeff Leek adalah Profesor Madya Biostatistik di Johns Hopkins Bloomberg School of Public Health. Dia adalah pendiri bersama dan direktur bersama dari Spesialisasi Johns Hopkins dalam Data Science di Coursera yang telah mendaftarkan lebih dari 3 juta calon ilmuwan data. Penelitiannya telah memberikan kontribusi dalam pemahaman tentang dasar genomik perkembangan otak, trauma benturan kuat, dan kanker. Dia menulis blog di Simply Statistics dan dapat ditemukan di twitter di @jtleek dan @simplystats

This book is a translation into Indonesian of How to be a modern scientist which was originally written in Inggris.

Tentang Penulis

Jeffrey Leek
Jeffrey Leek

Jeff is 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 has 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 Mortimer Spiegelman Award recipient.

Gerakan-gerakan yang Didukung

Data Carpentry

http://www.datacarpentry.org

Data Carpentry develops and teaches workshops on the fundamental data skills needed to conduct research. Our goal is to provide researchers high-quality, domain-specific training covering the full lifecycle of data-driven research.

From astronomy to molecular biology and digital text, our increasing capacity to collect data is changing research. It allows us to ask questions that previously could not have been answered, and it changes the impact that research has on society. Although petabytes of data are now available, most disciplines are struggling to translate this sea of data into knowledge. The missing step between data collection and research progress is a lack of training for scientists in crucial skills for effectively managing and analyzing large amounts of data. Data Carpentry addresses this gap by teaching researchers the fundamental data skills they need to conduct their research. Our goal is to provide researchers high-quality, domain-specific training covering the full lifecycle of data-driven research. We teach hands-on workshops in data organization, management, and analysis to increase data literacy and improve research efficiency and reproducibility.

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