TY  - JOUR
AU  - Gonzalez-Beltran, Alejandra N
AU  - Masuzzo, Paola
AU  - Ampe, Christophe
AU  - Bakker, Gert-Jan
AU  - Besson, Sébastien
AU  - Eibl, Robert H
AU  - Friedl, Peter
AU  - Gunzer, Matthias
AU  - Kittisopikul, Mark
AU  - Dévédec, Sylvia E Le
AU  - Leo, Simone
AU  - Moore, Josh
AU  - Paran, Yael
AU  - Prilusky, Jaime
AU  - Rocca-Serra, Philippe
AU  - Roudot, Philippe
AU  - Schuster, Marc
AU  - Sergeant, Gwendolien
AU  - Strömblad, Staffan
AU  - Swedlow, Jason R
AU  - van Erp, Merijn
AU  - Van Troys, Marleen
AU  - Zaritsky, Assaf
AU  - Sansone, Susanna-Assunta
AU  - Martens, Lennart
TI  - Community standards for open cell migration data
JO  - GigaScience
VL  - 9
IS  - 5
SN  - 2047-217X
CY  - Oxford
PB  - Oxford University Press
M1  - FZJ-2023-03839
SP  - giaa041
PY  - 2020
AB  - 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.
LB  - PUB:(DE-HGF)16
DO  - DOI:10.1093/gigascience/giaa041
UR  - https://juser.fz-juelich.de/record/1016855
ER  -