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Community standards for open cell migration data

Title: Community standards for open cell migration data
Authors: Gonzalez-Beltran, Alejandra N.; Masuzzo, Paola; Ampe, Christophe; Bakker, Gert-Jan; Besson, Sébastien; Eibl, Robert H; Friedl, Peter; Gunzer, Matthias; Kittisopikul, Mark; Le Dévédec, Sylvia E.; Leo, Simone; Moore, Josh; Paran, Yael; Prilusky, Jaime; Rocca-Serra, Philippe; Roudot, Philippe; Schuster, Marc; Sergeant, Gwendolien; Strömblad, Staffan; Swedlow, Jason R.; van Erp, Merijn; Van Troys, Marleen; Zaritsky, Assaf; Sansone, Susanna-Assunta; Martens, Lennart
Source: GIGASCIENCE ; ISSN: 2047-217X
Publication Year: 2020
Collection: Ghent University Academic Bibliography
Subject Terms: Medicine and Health Sciences; cell migration; data standards; metadata; CMSO; MIACME; biotracks; frictionless data package; FAIR data; MINIMUM INFORMATION; IMAGE DATA; FUTURE
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.
Document Type: article in journal/newspaper
File Description: application/pdf
Language: English
Relation: https://biblio.ugent.be/publication/8668348; https://doi.org/10.1093/gigascience/giaa041; https://biblio.ugent.be/publication/8668348/file/8668354
DOI: 10.1093/gigascience/giaa041
Availability: https://biblio.ugent.be/publication/8668348; https://hdl.handle.net/1854/LU-8668348; https://doi.org/10.1093/gigascience/giaa041; https://biblio.ugent.be/publication/8668348/file/8668354
Rights: info:eu-repo/semantics/openAccess
Accession Number: edsbas.97D5D37A
Database: BASE