Couvy-Duchesne, Baptiste, Bottani, Simona, Camenen, Etienne, Fang, Fang, Fikere, Mulusew, Gonzalez-Astudillo, Juliana, Harvey, Joshua, Hassanaly, Ravi, Kassam, Irfahan, Lind, Penelope, Liu, Qianwei, Lu, Yi, Nabais, Marta, Rolland, Thibault, Sidorenko, Julia, Strike, Lachlan, Wright, Margie, Algorithms, models and methods for images and signals of the human brain (ARAMIS), Sorbonne Université (SU)-Inria de Paris, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut du Cerveau = Paris Brain Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Institute for Molecular Bioscience, University of Queensland [Brisbane], Institut du Cerveau = Paris Brain Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Karolinska Institutet [Stockholm], University of Exeter Medical School, University of Exeter, Lee Kong Chian School of Medicine, Nanyang Technological University [Singapour], QIMR Berghofer Medical Research Institute, Queensland Brain Institute, This research was supported by the Australian National Health and Medical Research Council (1078037, 1078901, 1113400, 1161356 and 1107258), the Australian Research Council (FT180100186 and FL180100072), the Sylvia & Charles Viertel Charitable Foundation, the program 'Investissements d’avenir' ANR-10-IAIHU-06 (Agence Nationale de la Recherche-10-IA Institut Hospitalo-Universitaire-6) and reference ANR-19-P3IA-0001 (PRAIRIE 3IA Institute), the European Union H2020 program (project EuroPOND, grant number 666992, the joint NSF/NIH/ANR program 'Collaborative Research in Computational Neuroscience' (project HIPLAY7, grant number ANR-16-NEUC-0001-01), the ICM Big Brain Theory Program (project DYNAMO, project PredictICD), and the Abeona Foundation (project Brain@Scale). BCD is supported by a CJ Martin fellowship (APP1161356)., ANR-19-P3IA-0001,PRAIRIE,PaRis Artificial Intelligence Research InstitutE(2019), ANR-16-NEUC-0001,HIPLAY7,Experimental and theoretical investigation of the multi-scale emergence of parametric working memory in prefrontal cortex recurrent networks(2016), European Project: 666992,H2020 Pilier Societal Challenges,H2020-PHC-2015-two-stage,EuroPOND(2016), Couvy-Duchesne, Baptiste, PaRis Artificial Intelligence Research InstitutE - - PRAIRIE2019 - ANR-19-P3IA-0001 - P3IA - VALID, Experimental and theoretical investigation of the multi-scale emergence of parametric working memory in prefrontal cortex recurrent networks - - HIPLAY72016 - ANR-16-NEUC-0001 - CRCNS - VALID, and Data-driven models for Progression Of Neurological Disease - EuroPOND - - H2020 Pilier Societal Challenges2016-01-01 - 2019-12-31 - 666992 - VALID
Recent advances in technology have made possible to quantify fine-grained individual differences at many levels, such as genetic, genomics, organ level, behaviour, clinical. The wealth of data becoming available raises great promises for research on brain disorders as well as normal brain function. To name a few: systematic and agnostic study of disease risk factors (e.g. genetic variants, brain regions), the use of natural experiments (e.g. evaluate the effect of a genetic variant in a human population), and unveiling disease mechanisms across several biological levels (e.g. genetics, cellular gene expression, organ structure and function). However, this data revolution raises many challenges such as data sharing and management, the need for novel analysis methods and software, storage and computing. Here, we sought to provide an overview of some of the main existing human datasets, all accessible to researchers. Our list is far from being exhaustive and our objective is to publicise data sharing initiatives and help researchers find new data sources.