🐿️NeuroInformatics Database
Last updated
Last updated
The Neuroinformatics Database (NiDB) is designed to store, retrieve, analyze, and share neuroimaging data. Modalities include MR, EEG, ET, video, genetics, assessment data, and any binary data. Subject demographics, family relationships, and data imported from RedCap can be stored and queried in the database.
.rpm based installation for CentOS 8, RHEL 8, Rocky Linux 8 (not for CentOS Stream)
Store any neuroimaging data, including MR, CT, EEG, ET, Video, Task, GSR, Consent, MEG, TMS, and more
Store any assessment data (paper-based tasks)
Store clinical trial information (manage data across multiple days & dose times, etc)
Built-in DICOM receiver. Send DICOM data from PACS or MRI directly to NiDB
Bulk import of imaging data
User and project based permissions, with project admin roles
Search and manipulate data from subjects across projects
Automated imaging analysis pipeline system
"Mini-pipeline" module to process behavioral data files (extract timings)
All stored data is searchable. Combine results from pipelines, QC output, behavioral data, and more in one searchable
Export data to NFS, FTP, Web download, NDA (NIMH Data Archive format), or export to a remote NiDB server
Export to squirrel format
Project level checklists for imaging data
Automated motion correction and other QC for MRI data
Calendar for scheduling equipment and rooms
Usage reports, audits, tape backup module
Intuitive, modern UI. Easy to use
Install or upgrade NiDB in minutes on RHEL compatible Linux OS.
DICOM data can be automatically imported using the included dcmrcv DICOM receiver. Setup your MRI or other DICOM compatible device to send images to NiDB, and NiDB will automatically archive them. Image series can arrive on NiDB in any order: partial series, or full series to overlap incomplete series.
Literally any type of imaging data: binary; assessment; paper based; genetics. See full list of supported modalities. All data is stored in a hierarchy: Subject --> Study --> Series. Data is searchable across project and across subject.
NiDB stores multiple time-points with identifiers for clinical trials; exact day numbers (days 1, 15, 30 ...) or ordinal timepoints (timepoint 1, 2, 3 ...) or both (day1-time1, day1-time2, day2-time1, ... )
Got a batch of DICOMs from a collaborator, or from an old DVD? Import them easily
Find imaging data from any project (that you have permissions to...) and export data. Search by dozens of criteria.
Image formats
Original raw data - DICOM, Par/Rec, Nifti
Anonymized DICOM data: partial and full anonymization
Nifti3d
Nifti3dgz
Nifti4d
Nifti4dgz
squirrel
Package formats
squirrel
BIDS
NDA/NDAR
Destinations
NFS share
Web
Public download/dataset
Local FTP
Remote NiDB instance
Data obtained from pipeline analysis, imported and locally generated measures, drugs, vitals, measures, are all searchable.
From raw data to analyzed, and storing result values/images. Utilize a compute cluster to process jobs in parallel. Example below, 200,000 hrs of compute time completed in a few weeks. Hundreds of thousands of result values automatically stored in NiDB and are searchable.
Large number of automatically generated metrics. Metrics are exportable as .csv and tables.
Fully featured calendar, running securely on your internal network. Repeating appts, blocking appts, and time requests.
Book GA, Anderson BM, Stevens MC, Glahn DC, Assaf M, Pearlson GD. Neuroinformatics Database (NiDB)--a modular, portable database for the storage, analysis, and sharing of neuroimaging data. Neuroinformatics. 2013 Oct;11(4):495-505. doi: 10.1007/s12021-013-9194-1. PMID: 23912507; PMCID: PMC3864015. https://pubmed.ncbi.nlm.nih.gov/23912507/
Book GA, Stevens MC, Assaf M, Glahn DC, Pearlson GD. Neuroimaging data sharing on the neuroinformatics database platform. Neuroimage. 2016 Jan 1;124(Pt B):1089-1092. doi: 10.1016/j.neuroimage.2015.04.022. Epub 2015 Apr 16. PMID: 25888923; PMCID: PMC4608854. https://pubmed.ncbi.nlm.nih.gov/25888923/
Outdated information Watch an overview of the main features of NiDB (recorded 2015, so it's a little outdated): Part 1 | Part 2 | Part 3
