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A quick guide for using Microsoft OneNote as an electronic laboratory notebook
Author(s) -
Santiago Guerrero,
Andrés LópezCortés,
Jennyfer M. Garcí­a-Cárdenas,
Pablo Saa,
Alberto Indacochea,
Isaac ArmendárizCastillo,
Ana Karina Zambrano,
Verónica Yumiceba,
Andy PérezVilla,
Patricia Guevara-Ramí­rez,
Oswaldo Moscoso-Zea,
Joel Paredes-Gualtor,
Paola Leone,
César PazyMiño
Publication year - 2019
Publication title -
plos computational biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.628
H-Index - 182
eISSN - 1553-7358
pISSN - 1553-734X
DOI - 10.1371/journal.pcbi.1006918
Subject(s) - workflow , transparency (behavior) , computer science , microsoft excel , data science , database , operating system , computer security
Scientific data recording and reporting systems are of a great interest for endorsing reproducibility and transparency practices among the scientific community. Current research generates large datasets that can no longer be documented using paper lab notebooks (PLNs). In this regard, electronic laboratory notebooks (ELNs) could be a promising solution to replace PLNs and promote scientific reproducibility and transparency. We previously analyzed five ELNs and performed two survey-based studies to implement an ELN in a biomedical research institute. Among the ELNs tested, we found that Microsoft OneNote presents numerous features related to ELN best functionalities. In addition, both surveyed groups preferred OneNote over a scientifically designed ELN (PerkinElmer Elements). However, OneNote remains a general note-taking application and has not been designed for scientific purposes. We therefore provide a quick guide to adapt OneNote to an ELN workflow that can also be adjusted to other nonscientific ELNs.

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