Bioinformatics · 2018 · 120 citations · 14 references
Life SciencesBioinformaticsBiomedical InformaticsClinical Data ManagementComputational BiologyGenomicsBioinformatics For MedicineData Preprocessing For OmicsDocker ContainerizationInstallation InstructionsOmics Data VisualizationOpen-source Software DevelopmentSoftware-as-a-serviceSoftware-as-a-service Strategy
MOTIVATION: The volume and complexity of biological data increases rapidly. Many clinical professionals and biomedical researchers without a bioinformatics background are generating big '-omics' data, but do not always have the tools to manage, process or publicly share these data. RESULTS: Here we present MOLGENIS Research, an open-source web-application to collect, manage, analyze, visualize and share large and complex biomedical datasets, without the need for advanced bioinformatics skills. AVAILABILITY AND IMPLEMENTATION: MOLGENIS Research is freely available (open source software). It can be installed from source code (see http://github.com/molgenis), downloaded as a precompiled WAR file (for your own server), setup inside a Docker container (see http://molgenis.github.io), or requested as a Software-as-a-Service subscription. For a public demo instance and complete installation instructions see http://molgenis.org/research.
14
The FAIR Guiding Principles for scientific data management and stewardship
Mark D. Wilkinson, Michel Dumontier, IJsbrand Jan Aalbersberg et al. · Scientific Data · 2016 · 17.8K citations · Full text
Making sense of big data in health research: Towards an EU action plan
Charles Auffray, Rudi Balling, Inês Barroso et al. · Genome Medicine · 2016 · 291 citations · Full text
A design framework and exemplar metrics for FAIRness
Mark D. Wilkinson, Susanna‐Assunta Sansone, Erik Schultes et al. · Scientific Data · 2018 · 205 citations · Full text
Big Data and Science: Myths and Reality
H. V. Jagadish · Big Data Research · 2015 · 151 citations