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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; +18 Authors

Community standards for open cell migration data

Abstract

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.

Countries
Belgium, United Kingdom, Netherlands, Netherlands, Germany, United Kingdom, Netherlands
Keywords

MIACME, Data Analysis, frictionless data package, cell migration, Databases, Factual, Medizin, 610, Review, MINIMUM INFORMATION, IMAGE DATA, FUTURE, Radboudumc 2: Cancer development and immune defence RIMLS: Radboud Institute for Molecular Life Sciences, Cell Movement, Medicine and Health Sciences, biotrcks, biotracks, Cell Biology - Radboud University Medical Center, info:eu-repo/classification/ddc/610, /dk/atira/pure/subjectarea/asjc/1700/1706, FAIR data, Metadata, Research, metadata, name=Health Informatics, Computational Biology, /dk/atira/pure/subjectarea/asjc/2700/2718, name=Computer Science Applications, 004, frictionless data pacakge, data standards, CMSO, Biomarkers

  • BIP!
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    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    21
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
21
Top 10%
Average
Top 10%
Green
gold