Electronic Laboratory Notebook: An Adaptable Solution

Good research data management is essential in modern-day laboratory work. Various solutions exist that are either highly specific or need a significant effort to be customized appropriately. This paper presents an integrated solution for individuals and small groups of researchers in data-driven ded...

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Bibliographic Details
Published in:Journal of open research software Vol. 13; no. 1; p. 11
Main Authors: Schubotz, Simon, Schubotz, Moritz, Auernhammer, Günter K.
Format: Journal Article
Language:English
Published: Ubiquity Press Ltd 05.08.2025
Ubiquity Press
Subjects:
automated data processing
data management
Electronic data processing
electronic laboratory notebook
Information management
Laboratory notebooks
Methods
research data management
scientific software
Technology application
Germany
ISSN:2049-9647, 2049-9647
Online Access:Get full text
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Summary:Good research data management is essential in modern-day laboratory work. Various solutions exist that are either highly specific or need a significant effort to be customized appropriately. This paper presents an integrated solution for individuals and small groups of researchers in data-driven deductive research. Our Electronic Laboratory Notebook software generates electronic laboratory notebooks based on notes and files, which originate from one or several research experiments. The generated notebooks are then presented via a Django-based website. Automated gathering of metadata aims to reduce the documentation effort for the lab worker and prevent human error in the repetitive tasks of manually entering basic metadata. The software is provided as an adaptable framework. To use it, researchers must have basic Python skills to define data models for their specific experiments, using the included models as templates. Keywords: Electronic Laboratory Notebook, Data management, Research data management, Scientific software, Automated data processing
ISSN:2049-9647
2049-9647
DOI:10.5334/jors.391