Oxford e-Research Centre, Department of Engineering Science, University of Oxford, 7 Keble Road, Oxford OX1 3QG, Oxford, UK.
VIB-UGent Center for Medical Biotechnology, VIB, A. Baertsoenkaai 3, B-9000, Ghent, Belgium.
Gigascience. 2020 May 1;9(5). doi: 10.1093/gigascience/giaa041.
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.
细胞迁移研究已经成为一个高内涵领域。然而，由于实验方案的多样性和非标准化的输出格式，这些复杂和高维数据集所包含的定量信息并未得到充分利用。此外，通常情况下这些数据集不可重复使用。使数据开放、可发现、可访问、可互操作和可重复使用（FAIR）将能够进行元分析、数据集成和数据挖掘。标准化的数据格式和受控词汇对于为此目的构建合适的基础架构至关重要，但在细胞迁移领域并不存在。我们在此介绍细胞迁移标准化组织（CMSO）的标准化工作，该组织是一个开放的社区驱动组织，旨在促进细胞迁移数据标准的制定。这项工作将促进改进算法和工具的开发，并能够对公共数据集进行二次分析，最终解锁细胞迁移这一复杂生物学过程的新知识。
