Authors: Poline JB, Das S, Glatard T, Madjar C, Dickie EW, Lecours X, Beaudry T, Beck N, Behan B, Brown ST, Bujold D, Beauvais M, Caron B, Czech C, Dharsee M, Dugré M, Evans K, Gee T, Ippoliti G, Kiar G, Knoppers BM, Kuehn T, Le D, Lo D, Mazaheri M, MacFarlane D, Muja N, O', Brien EA, O', Callaghan L, Paiva S, Park P, Quesnel D, Rabelais H, Rioux P, Legault M, Tremblay-Mercier J, Rotenberg D, Stone J, Strauss T, Zaytseva K, Zhou J, Duchesne S, Khan AR, Hill S, Evans AC
We present the Canadian Open Neuroscience Platform (CONP) portal to answer the research community's need for flexible data sharing resources and provide advanced tools for search and processing infrastructure capacity. This portal differs from previous data sharing projects as it integrates datasets originating from a number of already existing platforms or databases through DataLad, a file level data integrity and access layer. The portal is also an entry point for searching and accessing a large number of standardized and containerized software and links to a computing infrastructure. It leverages community standards to help document and facilitate reuse of both datasets and tools, and already shows a growing community adoption giving access to more than 60 neuroscience datasets and over 70 tools. The CONP portal demonstrates the feasibility and offers a model of a distributed data and tool management system across 17 institutions throughout Canada.
PubMed: https://pubmed.ncbi.nlm.nih.gov/37024500/
DOI: 10.1038/s41597-023-01946-1