| Literature DB >> 31704292 |
Elizabeth DuPre1, Michael Hanke2, Jean-Baptiste Poline3.
Abstract
Naturalistic stimuli show significant potential to inform behavioral, cognitive, and clinical neuroscience. To date, this impact is still limited by the relative inaccessibility of both generated neuroimaging data as well as the supporting naturalistic stimuli. In this perspective, we highlight currently available naturalistic datasets and technical solutions such as DataLad that continue to advance our ability to share this data. We also review scientific and sociological challenges in selecting naturalistic stimuli for reproducible research. Overall, we encourage researchers to share their naturalistic datasets to the full extent possible under local copyright law.Entities:
Keywords: Data sharing; Naturalistic stimuli; Open science
Mesh:
Year: 2019 PMID: 31704292 PMCID: PMC7198323 DOI: 10.1016/j.neuroimage.2019.116330
Source DB: PubMed Journal: Neuroimage ISSN: 1053-8119 Impact factor: 6.556