Fair Principles
FAIR principles
Peter C. Petersen
The postdoc position is focused on the development of BrainSTEM, a web application designed as an electronic lab notebook for describing neurophysiological experiments as well as a data-sharing platform for the community. The role involves the design of a standard language for describing experimental neuroscience, semantic search functionality, stronger adoption of the FAIR principles, and stimulating and supporting community uptake. The project is primarily funded by the NIH, through the Brain Initiative U19 Oxytocin grant. The project will include occasional travels, e.g., to New York (NYU), Brain Initiate meetings, SfN, FENS, and to pilot user labs.
The future of neuropsychology will be open, transdiagnostic, and FAIR - why it matters and how we can get there
Cognitive neuroscience has witnessed great progress since modern neuroimaging embraced an open science framework, with the adoption of shared principles (Wilkinson et al., 2016), standards (Gorgolewski et al., 2016), and ontologies (Poldrack et al., 2011), as well as practices of meta-analysis (Yarkoni et al., 2011; Dockès et al., 2020) and data sharing (Gorgolewski et al., 2015). However, while functional neuroimaging data provide correlational maps between cognitive functions and activated brain regions, its usefulness in determining causal link between specific brain regions and given behaviors or functions is disputed (Weber et al., 2010; Siddiqiet al 2022). On the contrary, neuropsychological data enable causal inference, highlighting critical neural substrates and opening a unique window into the inner workings of the brain (Price, 2018). Unfortunately, the adoption of Open Science practices in clinical settings is hampered by several ethical, technical, economic, and political barriers, and as a result, open platforms enabling access to and sharing clinical (meta)data are scarce (e.g., Larivière et al., 2021). We are working with clinicians, neuroimagers, and software developers to develop an open source platform for the storage, sharing, synthesis and meta-analysis of human clinical data to the service of the clinical and cognitive neuroscience community so that the future of neuropsychology can be transdiagnostic, open, and FAIR. We call it neurocausal (https://neurocausal.github.io).