DFBIdb
DFBIdb is a suite of tools for efficient management of neuroimaging
project data. Specifically, DFBIdb was designed to allow users to quickly
perform routine management tasks of sorting, archiving, exploring, exporting
and organising raw data. DFBIdb was implemented as a collection of Python
scripts that maintain a project-based, centralised database that is based on the
XCEDE 2 data model. Project data is imported from a filesystem hierarchy of
raw files, which is an often-used convention of imaging devices, using a single
script that catalogues meta-data into a modified XCEDE 2 data model. During
the import process data are reversibly anonymised, archived and compressed.
The import script was designed to support multiple file formats and features an
extensible framework that can be adapted to novel file formats. Graphical user interfaces are provided for data exploration. DFBIdb includes facilities to export, convert and organise customisable subsets of project data according to user-specified criteria.
project data. Specifically, DFBIdb was designed to allow users to quickly
perform routine management tasks of sorting, archiving, exploring, exporting
and organising raw data. DFBIdb was implemented as a collection of Python
scripts that maintain a project-based, centralised database that is based on the
XCEDE 2 data model. Project data is imported from a filesystem hierarchy of
raw files, which is an often-used convention of imaging devices, using a single
script that catalogues meta-data into a modified XCEDE 2 data model. During
the import process data are reversibly anonymised, archived and compressed.
The import script was designed to support multiple file formats and features an
extensible framework that can be adapted to novel file formats. Graphical user interfaces are provided for data exploration. DFBIdb includes facilities to export, convert and organise customisable subsets of project data according to user-specified criteria.
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