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Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
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Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering

Article DOI: 10.3791/60038-v • 09:43 min • November 22nd, 2019
November 22nd, 2019 •
1,2, 1,2, 1,2, 1,2, 1,2, 3,4, 1,2,5,6,7
1Department of Biomedical Engineering, University of California, Irvine, 2The Edwards Lifesciences Center for Advanced Cardiovascular Technology, University of California, Irvine, 3Pediatrics-Genetics & Genomics Division-School of Medicine, University of California, Irvine, 4Biological Chemistry-School of Medicine, University of California, Irvine, 5Department of Chemical and Biomolecular Engineering, University of California, Irvine, 6Center for Complex Biological Systems, University of California, Irvine, 7The NSF-Simons Center for Multiscale Cell Fate Research (CMCF), University of California, Irvine

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Many researchers generate "medium-sized", low-velocity, and multi-dimensional data, which can be managed more efficiently with databases rather than spreadsheets. Here we provide a conceptual overview of databases including visualizing multi-dimensional data, linking tables in relational database structures, mapping semi-automated data pipelines, and using the database to elucidate data meaning.

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Databases Manage Medium-sized Low Velocity Multidimensional Data Tissue Engineering Scientific Data Organization Technique Data Pipeline Storage Flexibility Data Analysis Evaluation Example Codes Graphical Representation Visualization Experimental Outcome Relational Databases Tables Rows Columns Identifying Information Multidimensionality File-naming Conventions Folder/subfolder Structures
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