Neuroscientific data management using DataLad
Robust data management from raw data to result publication is necessary to make scientific research more widely reusable.
Datalad
2024
fMRI Pipelines on HPC with DataLad and ReproMan
In this lightning talk, I will share my experience using DataLad, git-annex and ReproMan to run software pipelines on hundreds of fMRI datasets on an HPC cluster.
Optimisation in Network Engineering: Challenges and Solutions in Research Data Management
In the complex realm of network engineering design, optimisation methods have been instrumental, using a range of components across different systems and scenarios.
Workflow provenance-based scheduling
Scientific computing workflows have become increasingly complex, often comprising of numerous interdependent tasks executed on distributed computing resources.
NeuroBagel and NiPoppy for a neuro-federation
We present an ecosystem consisting of NeuroBagel, a distributed and scalable approach based on semantic web technologies for harmonizing and sharing phenotypic and neuroimaging variables with a DataLad backend, and NiPoppy, a specification for MRI processings to integrate derived data and curation information.
Balancing Efficiency and Standardization for a Microscopic Image Repository on an HPC System
Understanding the human brain is one of the greatest challenges of modern science.
OpenNeuro and DataLad
A history of OpenNeuro’s adoption of DataLad and the evolution of DataLad and git-annex support on the platform.
DataLad beyond Git, connecting to the rest of the world
DataLad has been built on Git and git-annex as foundational pillars.
"What's in the DataLad sandwich?" AKA DataLad "ecosystem"
At the heart of many innovative tools lies a simple spark of necessity.