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  1. Objectives/

Promote open science through shared data and collaboration

Releases data, code, and documentation and fosters cross-site collaborations to accelerate scientific progress. By making resources public and encouraging standardized practices, they increase transparency, enable secondary analyses, and support large-scale studies that combine datasets to address questions requiring greater statistical power or diverse populations.

Psychoinformatics

REMODNAV FAIRly big processing workflow Promote open science through shared data and collaboration Build tools for reproducible, shareable science Integrate psychology with informatics Probe brain function with naturalistic, high-dimensional studies Self-hosted research IT infrastructure Adina Wagner Alex Waite Ayan Sengupta Benjamin Poldrack Christian Häusler Christian Mönch Daniel Kottke Emanuele Porcu Falko Kaule Jenna Swarthout Goddard Laura Waite Leonardo Muller-Rodriguez Małgorzata Wierzba Manuel Bayer Michael Burgardt Michael Hanke Michael Notter Michał Szczepanik Moritz Boos Odelfa Songong Pierre Ibe Richard Dinga Stephan Heunis Sven Buchholz Tosca Heunis Venkatesh Hariharapura Shivashankar Vittorio Iacovella Lab-in-a-box Distribits Accessing Behavior for Clinical Data and Joint Usage DataLad Organized Research Information: Ontology-mapping, Curation, Orchestration Key Mechanisms of Motor Control in Health and Disease Study Forrest Data Management for Computational Modelling