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BioWes-from design of experiment, through protocol to repository, control, standardization and back-tracking

BACKGROUND: One of the main challenges in modern science is the amount of data produced by the experimental work; it is difficult to store, organize and share the scientific data and to extract the wealth of knowledge. Experimental method descriptions in scientific publications are often incomplete,...

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Autores principales: Cisar, Petr, Soloviov, Dmytro, Barta, Antonin, Urban, Jan, Stys, Dalibor
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4959364/
https://www.ncbi.nlm.nih.gov/pubmed/27454467
http://dx.doi.org/10.1186/s12938-016-0188-8
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author Cisar, Petr
Soloviov, Dmytro
Barta, Antonin
Urban, Jan
Stys, Dalibor
author_facet Cisar, Petr
Soloviov, Dmytro
Barta, Antonin
Urban, Jan
Stys, Dalibor
author_sort Cisar, Petr
collection PubMed
description BACKGROUND: One of the main challenges in modern science is the amount of data produced by the experimental work; it is difficult to store, organize and share the scientific data and to extract the wealth of knowledge. Experimental method descriptions in scientific publications are often incomplete, which complicates experimental reproducibility. The proposed system was created in order to address these issues. It provides a solution for management of the experimental data and metadata to support the reproducibility. IMPLEMENTATION: The system is implemented as a repository for experiment descriptions and experimental data. It has three main entry points: desktop application for protocol design and data processing, web interface dedicated for protocol and data management, and web-based interface for mobile devices suitable for the field experiments. The functionality of desktop client can be extended using the custom plug-ins for data extraction and data processing. The system provides several methods to support experimental reproducibility: standardized terminology support, data and metadata at a single location, standardized protocol design or protocol evolution. RESULTS AND DISCUSSION: The system was tested in the framework of international infrastructure project AQUAEXCEL with five pilot installations at different institutes. The general testing in Tissue culture certified laboratory, Institute of complex systems and IFREMER verified the usability under different research infrastructures. The specific testing focused on the data processing modules and plug-ins demonstrated the modularity of the system for the specific conditions. The BioWes system represents experimental data as black box and therefore can handle any data type so as to provide broad usability for a variety of experiments and provide the data management infrastructure to improve the reproducibility and data sharing. CONCLUSIONS: The proposed system provides the tools for standard data management operations and extends the support by the standardization possibilities, protocol evolution with visualization features and modularity based on the data processing modules and device communication plug-ins. The software can be used at different organization levels: from a single researcher (to improve data organization) to research consortium through the central protocols management repository. Support from the protocol design until being shared with the standardization features helps to improve the reproducibility of research work. The platform provides support from experimental protocol design to cooperation using simple sharing.
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spelling pubmed-49593642016-08-01 BioWes-from design of experiment, through protocol to repository, control, standardization and back-tracking Cisar, Petr Soloviov, Dmytro Barta, Antonin Urban, Jan Stys, Dalibor Biomed Eng Online Research BACKGROUND: One of the main challenges in modern science is the amount of data produced by the experimental work; it is difficult to store, organize and share the scientific data and to extract the wealth of knowledge. Experimental method descriptions in scientific publications are often incomplete, which complicates experimental reproducibility. The proposed system was created in order to address these issues. It provides a solution for management of the experimental data and metadata to support the reproducibility. IMPLEMENTATION: The system is implemented as a repository for experiment descriptions and experimental data. It has three main entry points: desktop application for protocol design and data processing, web interface dedicated for protocol and data management, and web-based interface for mobile devices suitable for the field experiments. The functionality of desktop client can be extended using the custom plug-ins for data extraction and data processing. The system provides several methods to support experimental reproducibility: standardized terminology support, data and metadata at a single location, standardized protocol design or protocol evolution. RESULTS AND DISCUSSION: The system was tested in the framework of international infrastructure project AQUAEXCEL with five pilot installations at different institutes. The general testing in Tissue culture certified laboratory, Institute of complex systems and IFREMER verified the usability under different research infrastructures. The specific testing focused on the data processing modules and plug-ins demonstrated the modularity of the system for the specific conditions. The BioWes system represents experimental data as black box and therefore can handle any data type so as to provide broad usability for a variety of experiments and provide the data management infrastructure to improve the reproducibility and data sharing. CONCLUSIONS: The proposed system provides the tools for standard data management operations and extends the support by the standardization possibilities, protocol evolution with visualization features and modularity based on the data processing modules and device communication plug-ins. The software can be used at different organization levels: from a single researcher (to improve data organization) to research consortium through the central protocols management repository. Support from the protocol design until being shared with the standardization features helps to improve the reproducibility of research work. The platform provides support from experimental protocol design to cooperation using simple sharing. BioMed Central 2016-07-15 /pmc/articles/PMC4959364/ /pubmed/27454467 http://dx.doi.org/10.1186/s12938-016-0188-8 Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Cisar, Petr
Soloviov, Dmytro
Barta, Antonin
Urban, Jan
Stys, Dalibor
BioWes-from design of experiment, through protocol to repository, control, standardization and back-tracking
title BioWes-from design of experiment, through protocol to repository, control, standardization and back-tracking
title_full BioWes-from design of experiment, through protocol to repository, control, standardization and back-tracking
title_fullStr BioWes-from design of experiment, through protocol to repository, control, standardization and back-tracking
title_full_unstemmed BioWes-from design of experiment, through protocol to repository, control, standardization and back-tracking
title_short BioWes-from design of experiment, through protocol to repository, control, standardization and back-tracking
title_sort biowes-from design of experiment, through protocol to repository, control, standardization and back-tracking
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4959364/
https://www.ncbi.nlm.nih.gov/pubmed/27454467
http://dx.doi.org/10.1186/s12938-016-0188-8
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