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@ARTICLE{GonzalezBeltran:1016855,
author = {Gonzalez-Beltran, Alejandra N and Masuzzo, Paola and Ampe,
Christophe and Bakker, Gert-Jan and Besson, Sébastien and
Eibl, Robert H and Friedl, Peter and Gunzer, Matthias and
Kittisopikul, Mark and Dévédec, Sylvia E Le and Leo,
Simone and Moore, Josh and Paran, Yael and Prilusky, Jaime
and Rocca-Serra, Philippe and Roudot, Philippe and Schuster,
Marc and Sergeant, Gwendolien and Strömblad, Staffan and
Swedlow, Jason R and van Erp, Merijn and Van Troys, Marleen
and Zaritsky, Assaf and Sansone, Susanna-Assunta and
Martens, Lennart},
title = {{C}ommunity standards for open cell migration data},
journal = {GigaScience},
volume = {9},
number = {5},
issn = {2047-217X},
address = {Oxford},
publisher = {Oxford University Press},
reportid = {FZJ-2023-03839},
pages = {giaa041},
year = {2020},
abstract = {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.},
ddc = {610},
typ = {PUB:(DE-HGF)16},
doi = {10.1093/gigascience/giaa041},
url = {https://juser.fz-juelich.de/record/1016855},
}