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  • 1
    Online Resource
    Online Resource
    Data literacy : how to make your experiments robust and reproducible (2017)
    Amsterdam :Academic Press, an imprint of Elsevier,
    Details
    UID:
    almafu_9960161212202883
    Format: 1 online resource (xvii, 261 pages) : , illustrations (some color)
    Series Statement: Gale eBooks
    Content: This book provides an overview of the basic concepts and skills involved in handling scientific data, and examines the processes that are necessary when carrying out a scientific study and some of the factors that make a study robust and reproducible. Experimental design, data cleansing and preparation, statistical analysis, data management, and reporting are among the topics discussed.
    Note: A. Designing your experiment -- B. Getting a "feel" for your data -- C. Statistics (without much math!) -- D. Make your data go farther.
    Additional Edition: ISBN 9780128113066
    Additional Edition: ISBN 0128113065
    Additional Edition: ISBN 9780128113073
    Additional Edition: ISBN 0128113073
    Language: English
    Subjects: Sociology
    RVK:
    MR 2300
    URL: Volltext  (URL des Erstveröffentlichers)
    URL: Volltext  (URL des Erstveröffentlichers)
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    Online Access
    HU Berlin
    FU Berlin
    Charité
    BTU Cottbus
  • 2
    Book
    Book
    Data literacy : how to make your experiments robust and reproducible (2017)
    London :Academic Press,
    Details
    UID:
    almafu_BV044427572
    Format: xvii, 261 Seiten : , Illustrationen.
    ISBN: 978-0-12-811306-6 , 0128113065
    Content: Data Literacy: How to Make Your Experiments Robust and Reproducible provides an overview of basic concepts and skills in handling data, which are common to diverse areas of science. Readers will get a good grasp of the steps involved in carrying out a scientific study and will understand some of the factors that make a study robust and reproducible. The book covers several major modules such as experimental design, data cleansing and preparation, statistical analysis, data management, and reporting. No specialized knowledge of statistics or computer programming is needed to fully understand the concepts presented. This book is a valuable source for biomedical and health sciences graduate students and researchers, in general, who are interested in handling data to make their research reproducible and more efficient. Presents the content in an informal tone and with many examples taken from the daily routine at laboratories. Can be used for self-studying or as an optional book for more technical coursesBrings an interdisciplinary approach which may be applied across different areas of sciences
    Additional Edition: Erscheint auch als Online-Ausgabe Smalheiser, Neil Data literacy ISBN 978-0-12-811307-3
    Language: English
    Subjects: Sociology
    RVK:
    MR 2300
    Keywords: Datenanalyse ; Experimentauswertung ; Wissenschaft ; Methode
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Book
    FU Berlin get availability status
    TH Brandenburg get availability status
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