Why?

Execution of DMP satisfying open science requirements

• SNSF expects all its funded researchers:
  
  
  • to store the research data they have worked on and produced during the course of their research work
  • to share these data with other researchers, unless they are bound by legal, ethical, copyright, confidentiality or other clauses
  • to deposit their data and metadata onto existing public repositories in formats that anyone can find, access and reuse without restriction, conformed with the Findable Accessible Interoperable Reusable (FAIR) principles
  
  
  Art 47 SNSF Funding Regulations and SNSF Open Research Data Policy

Advantages of adopting Synapsy DMP

• Ease of sharing and reuse - No need to spend a considerable amount of time to understand data organization and adapt code to each researcher or lab.


• Automated processing pipelines can be built to analyze data


• Meta-analysis accross datasets become possible

How?

Keys of Synapsy DMP for neuroimaging data

• Standard to organize and describe neuroimaging data along with metadata: Brain Imaging Data Structure (BIDS) - https://bids.neuroimaging.io/


• Distributed data versioning and management system tailored to neuroimaging data: Datalad - https://www.datalad.org/


• Distributed storage of neuroimaging data accross the different institution servers with access controlled by PIs.

Road Map

Road Map

Road Map

Road Map

Road Map

Potential future perspectives

Progress