standards > model/format > DOI:10.25504/FAIRsharing.jgzts3


ready NIfTI-1 Data Format

Abbreviation: NIFTI


General Information
The Neuroimaging Informatics Technology Initiative (nifti) file format was envisioned about a decade ago as a replacement to the then widespread, yet problematic, analyze 7.5 file format. The main problem with the previous format was perhaps the lack of adequate information about orientation in space, such that the stored data could not be unambiguously interpreted. Although the file was used by many imaging software projects, the lack of adequate information on orientation obliged some, most notably spm, to include, for every analyzed file, an accompanying file describing the orientation, such as a file with extension .mat.

Homepage http://nifti.nimh.nih.gov/nifti-1

Developed in United States

Created in 2004

Taxonomic range

Knowledge Domains  BETA




How to cite this record FAIRsharing.org: NIFTI; NIfTI-1 Data Format; DOI: https://doi.org/10.25504/FAIRsharing.jgzts3; Last edited: Jan. 8, 2019, 1:37 p.m.; Last accessed: Jan 16 2019 4:33 p.m.


Record updated: Nov. 24, 2016, 12:30 p.m. by The FAIRsharing Team.





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Implementing Databases (3)
National Database for Autism Research (NDAR)
National Database for Autism Research (NDAR) is an extensible, scalable informatics platform for austism spectrum disorder-relevant data at all levels of biological and behavioral organization (molecules, genes, neural tissue, behavioral, social and environmental interactions) and for all data types (text, numeric, image, time series, etc.). NDAR was developed to share data across the entire ASD field and to facilitate collaboration across laboratories, as well as interconnectivity with other informatics platforms.
SICAS medical image repository
The Sicas Medical Image Repository is a centralized storage system where the data such as Images, Segmentations, SSM can be used to build and shared statistical shape models. Dicom, ITK based images and statistical models in the statismo format can be stored on SMIR.
Human Connectome Project
The HCP is mapping the human connectome as accurately as possible in a large number of normal adults and is making this data freely available to the scientific community using a powerful, user-friendly informatics platform.

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