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Satrajit Ghosh/

Satrajit Ghosh

Collaborator at the Center for Open Neuroscience. Affiliated with MIT and Harvard Medical School. Lead of DANDI, NiPype, and other projects.

Contributions

Projects

Distributed Archives for Neurophysiology Data Integration

Publications

A comparison of neuroelectrophysiology databases
A guide to the BRAIN Initiative Cell Census Network data ecosystem
A multimodal cell census and atlas of the mammalian primary motor cortex
A reproducible and generalizable software workflow for analysis of large-scale neuroimaging data collections using BIDS Apps
A very simple, re-executable neuroimaging publication
Align with the NMIND consortium for better neuroimaging
Analysis of task-based functional MRI data preprocessed with fMRIPrep
Brainhack: Developing a culture of open, inclusive, community-driven neuroscience
Bridging the Scientific Knowledge Gap and Reproducibility: A Survey of Provenance, Assertion and Evidence Ontologies
Data sharing in neuroimaging research
DataLad: distributed system for joint management of code, data, and their relationship
Everything Matters: The ReproNim Perspective on Reproducible Neuroimaging
Fantastic containers and how to tame them
HeuDiConv — flexible DICOM conversion into structureddirectory layouts
How to make brain imaging research efficient and reproducible: building software and standards
IQ in Typical Development: A Mega-Analysis of the Historical Literature
Microscopy-BIDS: An Extension to the Brain Imaging Data Structure for Microscopy Data
Neurodesk: an accessible, flexible and portable data analysis environment for reproducible neuroimaging
NIDM-Workflow - The Evolution of Provenance in Neuroimaging
Nipype: a flexible, lightweight and extensible neuroimaging data processing framework in python
OME-Zarr: a cloud-optimized bioimaging file format with international community support
OME-Zarr: a cloud-optimized bioimaging file format with international community support
ReproIn: automatic generation of shareable, version-controlled BIDS datasets from MR scanners
SciOps: Achieving Productivity and Reliability in Data-Intensive Research
TemplateFlow: a community archive of imaging templates and atlases for improved consistency in neuroimaging
TemplateFlow: FAIR-sharing of multi-scale, multi-species brain models
The best of both worlds: using semantic web with JSON-LD. An example with NIDM-Results & DataLad
The Brain Imaging Data Structure (BIDS) Specification, Version 1.3.0
The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments
The Brain Imaging Data Structure: a standard for organizing and describing outputs of neuroimaging experiments
The Open Brain Consent: Informing research participants and obtaining consent to share brain imaging data
The past, present, and future of the brain imaging data structure (BIDS)
The Past, Present, and Future of the Brain Imaging Data Structure (BIDS)
Variability of the Neuroimaging Results Across OS, and How to Avoid it