Difference between revisions of "File:Fig2 Antolik FrontInNeuro2018 12.jpg"

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Description	Figure 2. The architecture of the Arkheia MongoDB database. All data are stored in three MongoDB collections, one for the individual simulation runs, one for the parameter searches, and one optimized for storage of binary data using the GridFS service, which will store the images and movies that are referenced from the documents stored in the other two collections. Any HTML-permissible image or movie format is supported by Arkheia.
Source	Antolik, J.; Davison, A.P. (2018). "Arkheia: Data management and communication for open computational neuroscience". Frontiers in Neuroinformatics 12: 6. doi:10.3389/fninf.2018.00006.
Date	2018
Author	Antolik, J.; Davison, A.P.
Permission (Reusing this file)	Creative Commons Attribution 4.0 International
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+==Summary==
+{{Information
+|Description='''Figure 2.''' The architecture of the Arkheia MongoDB database. All data are stored in three MongoDB collections, one for the individual simulation runs, one for the parameter searches, and one optimized for storage of binary data using the GridFS service, which will store the images and movies that are referenced from the documents stored in the other two collections. Any HTML-permissible image or movie format is supported by Arkheia.
+|Source={{cite journal |title=Arkheia: Data management and communication for open computational neuroscience |journal=Frontiers in Neuroinformatics |author=Antolik, J.; Davison, A.P. |volume=12 |pages=6 |year=2018 |doi=10.3389/fninf.2018.00006}}
+|Author=Antolik, J.; Davison, A.P.
+|Date=2018
+|Permission=[http://creativecommons.org/licenses/by/4.0/ Creative Commons Attribution 4.0 International]
+}}
 == Licensing ==
 {{cc-by-4.0}}