%0 Journal Article %1 10.1371/journal.pcbi.1006918 %A Guerrero, Santiago %A López-Cortés, Andrés %A García-Cárdenas, Jennyfer M. %A Saa, Pablo %A Indacochea, Alberto %A Armendáriz-Castillo, Isaac %A Zambrano, Ana Karina %A Yumiceba, Verónica %A Pérez-Villa, Andy %A Guevara-Ramírez, Patricia %A Moscoso-Zea, Oswaldo %A Paredes, Joel %A Leone, Paola E. %A Paz-y Miño, César %D 2019 %I Public Library of Science %J PLOS Computational Biology %K ELN FDM %N 5 %P 1-9 %R 10.1371/journal.pcbi.1006918 %T A quick guide for using Microsoft OneNote as an electronic laboratory notebook %U https://doi.org/10.1371/journal.pcbi.1006918 %V 15 %X 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.

@article{10.1371/journal.pcbi.1006918, abstract = {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.}, added-at = {2024-11-20T11:18:53.000+0100}, author = {Guerrero, Santiago and López-Cortés, Andrés and García-Cárdenas, Jennyfer M. and Saa, Pablo and Indacochea, Alberto and Armendáriz-Castillo, Isaac and Zambrano, Ana Karina and Yumiceba, Verónica and Pérez-Villa, Andy and Guevara-Ramírez, Patricia and Moscoso-Zea, Oswaldo and Paredes, Joel and Leone, Paola E. and Paz-y Miño, César}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/269bea0c887d0193a7d3b3904d05af6e1/forschungsdaten}, description = {A quick guide for using Microsoft OneNote as an electronic laboratory notebook | PLOS Computational Biology}, doi = {10.1371/journal.pcbi.1006918}, interhash = {6ee40117cc78a7ffb141fd820d935487}, intrahash = {69bea0c887d0193a7d3b3904d05af6e1}, journal = {PLOS Computational Biology}, keywords = {ELN FDM}, month = {05}, number = 5, pages = {1-9}, publisher = {Public Library of Science}, timestamp = {2024-11-20T11:18:53.000+0100}, title = {A quick guide for using Microsoft OneNote as an electronic laboratory notebook}, url = {https://doi.org/10.1371/journal.pcbi.1006918}, volume = 15, year = 2019 }