Data Management for Natural Scientists offers a practical guide for scientific processing of data. It covers the way from “getting hands on” experimental results to ensuring their use for addressing various scientific questions. Code snippets are provided in order to introduce the proposed workstream and to demonstrate the adjustability to specific challenges.
Sobre el autor
Matthias Hofmann
holds a Ph.D. in Physical Chemistry from the University of Regensburg. Currently, he is working in the chemical industry where his focus is on streamlining data processing routines and ensuring the accessibility of experimental data.
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Idioma Inglés ● Formato EPUB ● Páginas 216 ● ISBN 9783110788532 ● Tamaño de archivo 12.2 MB ● Editorial De Gruyter ● Ciudad Berlin/Boston ● Publicado 2023 ● Edición 1 ● Descargable 24 meses ● Divisa EUR ● ID 8791273 ● Protección de copia Adobe DRM
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