This project is an open invitation to anyone and everyone to participate in a decentralized effort to explore the opportunities of open science in neuroimaging. It documents how much (scientific) value can be generated by open data — from the publication of scientific findings derived from this dataset, algorithms and methods evaluated on this dataset, and/or extensions of this dataset by acquisition and incorporation of new data.
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This website is open source and jointly maintained on GitHub. Contributions are always welcome.
This project is collaborative effort supported by various grants and institutional funds.
A grant from the German Federal Ministry of Education and Research (BMBF) funded the initial data acquisition as part of the US-German collaboration in computational neuroscience (CRCNS) project: Development of general high-dimensional models of neuronal representation spaces (Haxby / Ramagde / Hanke), co-funded by the BMBF and the US National Science Foundation (BMBF 01GQ1112; NSF 1129855).
Development of data sharing technology used for dissemination and management of this dataset was funded by another US-German collaboration grant awarded to Halchenko and Hanke: DataLad: Converging catalogues, warehouses, and deployment logistics into a federated 'data distribution' — also co-funded by BMBF (01GQ1411) and NSF (1129855).
Continued dataset maintenance and curation is supported by a third US-German collaboration grant (BMBF 01GQ1905; NSF 1912266).
The Institute of Neuroscience and Medicine Brain and Behaviour (INM-7) at the Jülich Research Center supports the project with personnel and IT resources.
The German federal state of Saxony-Anhalt with the The Otto-von-Guericke-University, Magdeburg, and the European Regional Development Fund (ERDF), Project: Center for Behavioral Brain Sciences provided support for data acquisition hardware and personnel.
Data acquisition was, in part, funded by a grant from the German Research Foundation (DFG) awarded to Stefan Pollmann and Oliver Speck (DFG PO 548/15-1).