About this Project

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. We aim to document how much (scientific) value can be generated from a data release — 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.

For questions and inquiries, please email us at info@studyforrest.org.

This website is maintained by the Psychoinformatics Lab at the Otto-von-Guericke University Magdeburg, Germany.

Acknowledgements

This project has been made possible by funds and support of various grants and institutions.

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).

Moreover, development of data sharing technology used for dissemination and management of this dataset is supported 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).

The German federal state of Saxony-Anhalt 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).

The Otto-von-Guericke-University, Magdeburg, Germany.

The Leibniz Institute for Neurobiology and the Combinatorial NeuroImaging Core Facility in Magdeburg, Germany provided MR imaging expertise and access to its data acquisition instruments.