How to be a modern scientist (Svensk Utgåva)
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How to be a modern scientist (Svensk Utgåva)

Om boken

Ansiktet på akademin förändras. Det räcker inte längre med att bara publicera eller förgås. Vi befinner oss nu i en era där Twitter, Github, Figshare och Alt Metrics är vanliga delar av det vetenskapliga arbetsflödet. Här ger jag råd på hög nivå om vilka verktyg som ska användas, hur de ska användas och vad man ska vara uppmärksam på. Denna bok är lämplig för vetenskapsmän på alla nivåer som vill hålla sig uppdaterade om de nuvarande teknologiska utvecklingarna som påverkar moderna vetenskapliga karriärer. Boken bygger delvis på författarens populära guider inklusive guider för

Boken passar troligen bäst för doktorander och postdoktorer inom vetenskapen, men kan vara av intresse för andra som vill anpassa sin vetenskapliga process för att använda moderna verktyg. 

Om författaren: Jeff Leek är biträdande professor i biostatistik vid Johns Hopkins Bloomberg School of Public Health. Han är medgrundare och meddirektör för Johns Hopkins Data Science Specialization på Coursera som har registrerat över 3 miljoner blivande dataforskare. Hans forskning har bidragit till vår förståelse av den genetiska grunden för hjärnans utveckling, trubbigt våld och cancer. Han bloggar på Simply Statistics och kan hittas på twitter på @jtleek och @simplystats

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

Om författarna

Jeffrey Leek
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.

TranslateAI
TranslateAI

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To see the output of TranslateAI right now, you can check out these two books: How To Be a Modern Scientist and The Elements of Data Analytic Style by bestselling Leanpub author Jeffrey Leek.

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(The languages that these books have been translated into are the 31 languages in the GlobalAuthor Max bundle. The GlobalAuthor bundle comes in 3, 8 and 31 language versions.)

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Innehållsförteckning

    • Introduktion
    • Att skriva vetenskapliga rapporter
      • Skrivande - vad bör jag göra och varför?
      • Skrivande - vilka verktyg bör jag använda?
      • Att skriva - ytterligare tips och problem
    • Publicering
      • Publicering - vad ska jag göra och varför?
      • Publicering - vilka verktyg ska jag använda?
      • Publicering - ytterligare tips och frågor
    • Granskning av likar
      • Granskning av likar - vad ska jag göra och varför?
      • Granskning av likar - vilka verktyg ska jag använda?
      • Granskning av likar - ytterligare tips och frågor
    • Datadelning
      • Datadelning - vad bör jag göra och varför?
      • Datadelning - vilka verktyg bör jag använda?
      • Datadelning - ytterligare tips och frågor
    • Vetenskapligt bloggande
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      • Bloggande - vilka verktyg bör jag använda?
      • Bloggande - ytterligare tips och problem
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      • Vetenskaplig kod - vilka verktyg ska jag använda?
      • Vetenskaplig kod - ytterligare tips och problem
    • Sociala medier inom vetenskapen
      • Sociala medier - vad bör jag göra och varför?
      • Sociala medier - vilka verktyg bör jag använda?
      • Sociala medier - ytterligare tips och problem
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      • Undervisning - vilka verktyg ska jag använda?
      • Undervisning - ytterligare tips och frågor
    • Böcker
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      • Böcker - vilka verktyg bör jag använda?
      • Böcker - ytterligare tips och frågor
    • Intern vetenskaplig kommunikation
      • Intern kommunikation - vad bör jag göra och varför?
      • Intern kommunikation - vilka verktyg bör jag använda?
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    • Att läsa vetenskapliga artiklar
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    • Kredit
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      • Kredit - vilka verktyg ska jag använda?
      • Kredit - ytterligare tips och frågor
    • Karriärplanering
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    • Din onlineidentitet
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    • Om författaren
      • Ska du följa mitt exempel?

Causes Supported

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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