Community standards for open cell migration data
| Autor: | Jason R. Swedlow, Sébastien Besson, Alejandra Gonzalez-Beltran, Yael Paran, Assaf Zaritsky, Merijn van Erp, Christophe Ampe, Matthias Gunzer, Lennart Martens, Robert H. Eibl, Josh Moore, Marc Schuster, Marleen Van Troys, Simone Leo, Susanna-Assunta Sansone, Paola Masuzzo, Philippe Rocca-Serra, Mark Kittisopikul, Sylvia E. Le Dévédec, Peter Friedl, Gert Jan Bakker, Jaime Prilusky, Philippe Roudot, Staffan Strömblad, Gwendolien Sergeant |
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| Rok vydání: | 2020 |
| Předmět: |
Data Analysis
MIACME frictionless data package Standardization Databases Factual cell migration Computer science AcademicSubjects/SCI02254 Cancer development and immune defence Radboud Institute for Molecular Life Sciences [Radboudumc 2] Interoperability Medizin Health Informatics Review Reuse computer.software_genre MINIMUM INFORMATION Field (computer science) Domain (software engineering) 03 medical and health sciences 0302 clinical medicine IMAGE DATA FUTURE Cell Movement Controlled vocabulary Medicine and Health Sciences Community standards biotracks 030304 developmental biology Metadata 0303 health sciences FAIR data Research 030302 biochemistry & molecular biology metadata Computational Biology Data science Computer Science Applications AcademicSubjects/SCI00960 Open cell data standards computer Biomarkers 030217 neurology & neurosurgery CMSO Data integration |
| Zdroj: | Gigascience, 9 GIGASCIENCE GigaScience bioRxiv, 1-35 STARTPAGE=1;ENDPAGE=35;TITLE=bioRxiv Gigascience, 9, 5 GigaScience, 9(5), giaa041. OXFORD UNIV PRESS |
| ISSN: | 2047-217X |
| Popis: | Contains fulltext : 220755.pdf (Publisher’s version ) (Open Access) 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. |
| Databáze: | OpenAIRE |
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