부산대학교 도서관

NeuroLibre (https://neurolibre.com/) provides one example of this model and relies on nonprofit support to host a curated collection of datasets, each of which support one or more NeuroLibre publications through hosted environments for reexecuting the described analyses. Smaller datasets collected by individual research groups, however, may require alternative approaches; in particular, decentralized data management offers a promising route forward to minimize reliance on a central hosting service in those cases where datasets are small enough to be duplicated [[23]]. User-focused cloud technologies such as Binder (https://mybinder.org/; [[19]]) enable easy access to these environments, but they do not directly address dataset storage. Neuroscience datasets may involve terabytes of data and hundreds of CPU hours of compute time, making cloud computing and data hosting nontrivial. [Extracted from the article]