TY - JOUR
T1 - Data Archive for the BRAIN Initiative (DABI)
AU - Duncan, Dominique
AU - Garner, Rachael
AU - Brinkerhoff, Sarah
AU - Walker, Harrison C.
AU - Pouratian, Nader
AU - Toga, Arthur W.
N1 - Funding Information:
The authors would like to thank the rest of the DABI development team (Samuel Hobel, Faraz Rabbani, Kalpana Sundaram, Caroline O’Driscoll, Priyanka Subash, Alex Gray, Tom Picton, Samantha Cohen, and Sana Salehi, University of Southern California).
Funding Information:
This project is supported by the NIH/NINDS under award number R24MH114796. Data used in the sample analyses presented were supported by the NIH/NINDS under award numbers UH3NS100553, R01NS119520 and U01NS098961 and the Michael J. Fox Foundation under grant number 15098.
Publisher Copyright:
© 2023, The Author(s).
PY - 2023/12
Y1 - 2023/12
N2 - Data sharing is becoming ubiquitous and can be advantageous for most biomedical research. However, some data are inherently more amenable to sharing than others. For example, human intracranial neurophysiology recordings and associated multimodal data have unique features that warrant special considerations. The associated data are heterogeneous, difficult to compare, highly specific, and collected from small cohorts with treatment resistant conditions, posing additional complications when attempting to perform generalizable analyses across projects. We present the Data Archive for the BRAIN Initiative (DABI) and describe features of the platform that are designed to overcome these and other challenges. DABI is a data repository and portal for BRAIN Initiative projects that collect human and animal intracranial recordings, and it allows users to search, visualize, and analyze multimodal data from these projects. The data providers maintain full control of data sharing privileges and can organize and manage their data with a user-friendly and intuitive interface. We discuss data privacy and security concerns, example analyses from two DABI datasets, and future goals for DABI.
AB - Data sharing is becoming ubiquitous and can be advantageous for most biomedical research. However, some data are inherently more amenable to sharing than others. For example, human intracranial neurophysiology recordings and associated multimodal data have unique features that warrant special considerations. The associated data are heterogeneous, difficult to compare, highly specific, and collected from small cohorts with treatment resistant conditions, posing additional complications when attempting to perform generalizable analyses across projects. We present the Data Archive for the BRAIN Initiative (DABI) and describe features of the platform that are designed to overcome these and other challenges. DABI is a data repository and portal for BRAIN Initiative projects that collect human and animal intracranial recordings, and it allows users to search, visualize, and analyze multimodal data from these projects. The data providers maintain full control of data sharing privileges and can organize and manage their data with a user-friendly and intuitive interface. We discuss data privacy and security concerns, example analyses from two DABI datasets, and future goals for DABI.
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U2 - 10.1038/s41597-023-01972-z
DO - 10.1038/s41597-023-01972-z
M3 - Article
C2 - 36759619
AN - SCOPUS:85147784944
SN - 2052-4463
VL - 10
JO - Scientific data
JF - Scientific data
IS - 1
M1 - 83
ER -