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From experiment to open metadata repository: Computational reproducibility for FAIR translational neuromodulation research in clinical neuroscience.

As a recently appointed assistant professor, I work in biomarker characterization and algorithm development for invasive closed - loop neurostimulation in human patients. My research has immediate translational potential for therapeutic improvement. Lack of transparency and reproducibility impedes innovation and obliterates clinical adoption of unambiguously promising advances. The SWTFTPF will help me to trailblaze data strategy development for multimodal human neuromodulation research. The aim of the project is to pioneer automatized data flow algorithms from data collection to computationally reproducible publication.

OSF SPOKES project site
OSF Biblioraphy site
ORCID
ResearchGate
GitHub
Twitter

What is the main goal of your project?

I want to advance computational tools supporting reproducible neuromodulation research.

What are you most proud of so far?

We hosted a Dataweek, 3 days of online discussions about how to analyse and handle data for computational reproducibility. We now h have this available as an amazing resource online on Youtube.

What have been your greatest challenges so far?

We had to deal with the pandemic and the cessation of lab experiments.

What are your plans in the coming months?

We are going to broaden our perspectives and interact with our collaborative partners to create broader reach.