Electronic Laboratory Notebook: An Adaptable Solution Article Swipe

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Simon Schubotz , Moritz Schubotz , Günter K. Auernhammer ·

YOU? · · 2025 · Open Access · · DOI: https://doi.org/10.5334/jors.391

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.

Related Topics

Computer Science

Computer Graphics

Programming Language

Human–Computer Interaction

Concepts

Computer science Computer graphics (images) Programming language Human–computer interaction

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Type: article
Language: en
Landing Page: https://doi.org/10.5334/jors.391
PDF: https://openresearchsoftware.metajnl.com/articles/391/files/6891d856c5765.pdf
OA Status: gold
References: 11
Related Works: 10
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DOI: https://doi.org/10.5334/jors.391

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Title: Electronic Laboratory Notebook: An Adaptable Solution

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Type: article

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Language: en

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Publication year: 2025

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Publication date: 2025-01-01

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Authors: Simon Schubotz, Moritz Schubotz, Günter K. Auernhammer

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Landing page: https://doi.org/10.5334/jors.391

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PDF URL: https://openresearchsoftware.metajnl.com/articles/391/files/6891d856c5765.pdf

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Open access: Yes

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OA status: gold

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OA URL: https://openresearchsoftware.metajnl.com/articles/391/files/6891d856c5765.pdf

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Concepts: Computer science, Computer graphics (images), Programming language, Human–computer interaction

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References (count): 11

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Related works (count): 10

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