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.
A propos de l’auteur
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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Langue Anglais ● Format EPUB ● Pages 216 ● ISBN 9783110788532 ● Taille du fichier 12.2 MB ● Maison d’édition De Gruyter ● Lieu Berlin/Boston ● Publié 2023 ● Édition 1 ● Téléchargeable 24 mois ● Devise EUR ● ID 8791273 ● Protection contre la copie Adobe DRM
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