NiDB's HIPAA compliance
NiDB attempts to ensure HIPAA compliance, but is not completely compliant with all aspects of data privacy.
There are 18 types of personally identifiable information (from Health and Human Services website). Data that can be stored in NiDB is highlighted.
Names
All geographic subdivisions smaller than a state, including street address, city, county, precinct, ZIP code, and their equivalent geocodes, except for the initial three digits of the ZIP code if, according to the current publicly available data from the Bureau of the Census:
The geographic unit formed by combining all ZIP codes with the same three initial digits contains more than 20,000 people; and
The initial three digits of a ZIP code for all such geographic units containing 20,000 or fewer people is changed to 000
All elements of dates (except year) for dates that are directly related to an individual, including birth date, admission date, discharge date, death date, and all ages over 89 and all elements of dates (including year) indicative of such age, except that such ages and elements may be aggregated into a single category of age 90 or older
Telephone numbers
Vehicle identifiers and serial numbers, including license plate numbers
Fax numbers
Device identifiers and serial numbers
Email addresses
Web Universal Resource Locators (URLs)
Social security numbers
Internet Protocol (IP) addresses
Medical record numbers
Biometric identifiers, including finger and voice prints
Health plan beneficiary numbers
Full-face photographs and any comparable images
Account numbers
Any other unique identifying number, characteristic, or code, except as permitted by paragraph (c) of this section [Paragraph (c) is presented below in the section “Re-identification”]; and
Certificate/license numbers
The following pieces of information are stored on NiDB. Not all are required.
Name (First and Last)
Required. Field cannot be blank, but does not need to be the actual participant's name.
Address (street, city, state, zip)
Not required
Phone number
Not required
Email address
Not required
ID (unique ID)
Required. But this is not a medical record number
Dates (dates of service, date of birth)
Required. Age-at-study is calculated from date of birth and date of service.
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 RHEL 8 and RHEL 9 compatible (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 . 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): | |
