Community standards for open cell migration data

Cell migration research has become a high-content field. However, the quantitative information encapsulated in these complex and high-dimensional datasets is not fully exploited owing to the diversity of experimental protocols and non-standardized output formats. In addition, typically the datasets...

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Main Authors: Gonzalez-Beltran, AN, Masuzzo, P, Ampe, C, Rocca-Serra, P, Sansone, S, Et al.
Format: Journal article
Language:English
Published: Oxford University Press 2020
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author Gonzalez-Beltran, AN
Masuzzo, P
Ampe, C
Rocca-Serra, P
Sansone, S
Et al.
author_facet Gonzalez-Beltran, AN
Masuzzo, P
Ampe, C
Rocca-Serra, P
Sansone, S
Et al.
author_sort Gonzalez-Beltran, AN
collection OXFORD
description Cell migration research has become a high-content field. However, the quantitative information encapsulated in these complex and high-dimensional datasets is not fully exploited owing to the diversity of experimental protocols and non-standardized output formats. In addition, typically the datasets are not open for reuse. Making the data open and Findable, Accessible, Interoperable, and Reusable (FAIR) will enable meta-analysis, data integration, and data mining. Standardized data formats and controlled vocabularies are essential for building a suitable infrastructure for that purpose but are not available in the cell migration domain. We here present standardization efforts by the Cell Migration Standardisation Organisation (CMSO), an open community-driven organization to facilitate the development of standards for cell migration data. This work will foster the development of improved algorithms and tools and enable secondary analysis of public datasets, ultimately unlocking new knowledge of the complex biological process of cell migration.
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spelling oxford-uuid:efbe3880-af22-49f7-9823-9d7cac8958542022-03-27T11:42:29ZCommunity standards for open cell migration dataJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:efbe3880-af22-49f7-9823-9d7cac895854EnglishSymplectic ElementsOxford University Press2020Gonzalez-Beltran, ANMasuzzo, PAmpe, CRocca-Serra, PSansone, SEt al.Cell migration research has become a high-content field. However, the quantitative information encapsulated in these complex and high-dimensional datasets is not fully exploited owing to the diversity of experimental protocols and non-standardized output formats. In addition, typically the datasets are not open for reuse. Making the data open and Findable, Accessible, Interoperable, and Reusable (FAIR) will enable meta-analysis, data integration, and data mining. Standardized data formats and controlled vocabularies are essential for building a suitable infrastructure for that purpose but are not available in the cell migration domain. We here present standardization efforts by the Cell Migration Standardisation Organisation (CMSO), an open community-driven organization to facilitate the development of standards for cell migration data. This work will foster the development of improved algorithms and tools and enable secondary analysis of public datasets, ultimately unlocking new knowledge of the complex biological process of cell migration.
spellingShingle Gonzalez-Beltran, AN
Masuzzo, P
Ampe, C
Rocca-Serra, P
Sansone, S
Et al.
Community standards for open cell migration data
title Community standards for open cell migration data
title_full Community standards for open cell migration data
title_fullStr Community standards for open cell migration data
title_full_unstemmed Community standards for open cell migration data
title_short Community standards for open cell migration data
title_sort community standards for open cell migration data
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AT masuzzop communitystandardsforopencellmigrationdata
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