How to establish and maintain a multimodal animal research dataset using DataLad

We present a step-by-step protocol to perform version control and remote collaboration for large multimodal datasets. A data management plan was introduced to ensure data security in addition to a homogeneous file and folder structure. Changes to the data were automatically tracked using DataLad and all data was shared on the research data platform GIN. This simple and cost-effective workflow facilitates the adoption of FAIR data logistics and processing workflows by making the raw and processed data available and providing the technical infrastructure to independently reproduce the data processing steps.

Programme: Aswendt Lab

SEEK ID: https://ldh.stroke-koeln.imise.uni-leipzig.de/projects/7

Public web page: Not specified

NFDI4Health PIs: No PIs for this Project

Project created: 4th Nov 2024

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