Literature DB >> 21609689

A review of electronic laboratory notebooks available in the market today.

Michael Rubacha1, Anil K Rattan, Stephen C Hosselet.   

Abstract

Electronic laboratory notebooks are becoming an increasingly popular tool for research and routine laboratories as part of a way to optimize workflow and minimize cost while realizing time-saving benefits. The number and variety of available solutions are quickly increasing; making selection of the right notebook a cumbersome process. To allay some of the strain associated with an exhaustive search through notebook technologies, this paper details some key features from a pool of 35 electronic notebooks available today. This review effectively classifies these notebooks into five categories based on market audience as follows: notebooks suited for a Quality environment can be found within the Quality Assurance/Quality Control pool. Notebooks suited for specialized tasks in Biology or Chemistry can be found within the Biology or Chemistry pools, respectively. Notebooks that are suitable for general science functionalities can be found under either the Research and Development or the Multidiscipline pools. Lastly, notebooks that are designed and developed for the spectrum of stringent Quality laboratories to free-form research laboratories can be found within the Multidiscipline pool. The guidelines put forth in this paper eliminate the need to perform an exhaustive search for a suitable notebook.
Copyright © 2011 Society for Laboratory Automation and Screening. Published by Elsevier Inc. All rights reserved.

Mesh:

Year:  2010        PMID: 21609689     DOI: 10.1016/j.jala.2009.01.002

Source DB:  PubMed          Journal:  J Lab Autom        ISSN: 2211-0682


  13 in total

1.  Neurophysiological analytics for all! Free open-source software tools for documenting, analyzing, visualizing, and sharing using electronic notebooks.

Authors:  David M Rosenberg; Charles C Horn
Journal:  J Neurophysiol       Date:  2016-04-20       Impact factor: 2.714

2.  Integration of data systems and technology improves research and collaboration for a superfund research center.

Authors:  Kevin A Hobbie; Elena S Peterson; Michael L Barton; Katrina M Waters; Kim A Anderson
Journal:  J Lab Autom       Date:  2012-05-31

Review 3.  Making the collective knowledge of chemistry open and machine actionable.

Authors:  Kevin Maik Jablonka; Luc Patiny; Berend Smit
Journal:  Nat Chem       Date:  2022-04-04       Impact factor: 24.427

4.  Human-Device Interaction in the Life Science Laboratory.

Authors:  Robert Söldner; Sophia Rheinländer; Tim Meyer; Michael Olszowy; Jonas Austerjost
Journal:  Adv Biochem Eng Biotechnol       Date:  2022       Impact factor: 2.768

5.  Effects of using structured templates for recalling chemistry experiments.

Authors:  Cerys Willoughby; Thomas A Logothetis; Jeremy G Frey
Journal:  J Cheminform       Date:  2016-02-19       Impact factor: 5.514

6.  Analysis and Implementation of an Electronic Laboratory Notebook in a Biomedical Research Institute.

Authors:  Santiago Guerrero; Gwendal Dujardin; Alejandro Cabrera-Andrade; César Paz-Y-Miño; Alberto Indacochea; Marta Inglés-Ferrándiz; Hima Priyanka Nadimpalli; Nicola Collu; Yann Dublanche; Ismael De Mingo; David Camargo
Journal:  PLoS One       Date:  2016-08-01       Impact factor: 3.240

7.  Chemotion ELN: an Open Source electronic lab notebook for chemists in academia.

Authors:  Pierre Tremouilhac; An Nguyen; Yu-Chieh Huang; Serhii Kotov; Dominic Sebastian Lütjohann; Florian Hübsch; Nicole Jung; Stefan Bräse
Journal:  J Cheminform       Date:  2017-09-25       Impact factor: 5.514

8.  First steps towards semantic descriptions of electronic laboratory notebook records.

Authors:  Simon J Coles; Jeremy G Frey; Colin L Bird; Richard J Whitby; Aileen E Day
Journal:  J Cheminform       Date:  2013-12-20       Impact factor: 5.514

9.  A pocket guide to electronic laboratory notebooks in the academic life sciences.

Authors:  Ulrich Dirnagl; Ingo Przesdzing
Journal:  F1000Res       Date:  2016-01-04

10.  Implementation and use of cloud-based electronic lab notebook in a bioprocess engineering teaching laboratory.

Authors:  Erin M Riley; Holly Z Hattaway; P Arthur Felse
Journal:  J Biol Eng       Date:  2017-11-24       Impact factor: 4.355

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