RT Journal Article
SR Electronic
T1 Data science and its future in large neuroscience collaborations
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 2024.03.20.585936
DO 10.1101/2024.03.20.585936
A1 Schottdorf, Manuel
A1 Yu, Guoqiang
A1 Walker, Edgar Y.
YR 2024
UL http://biorxiv.org/content/early/2024/03/25/2024.03.20.585936.abstract
AB The rise of large scientific collaborations in neuroscience requires systematic, scalable, and reliable data management. How this is best done in practice remains an open question. To address this, we conducted a data science survey among currently active U19 grants, funded through the NIH’s BRAIN Initiative. The survey was answered by both data science liaisons and Principal Investigators, speaking for ∼500 researchers across 21 nation-wide collaborations. We describe the tools, technologies, and methods currently in use, and identify several shortcomings of current data science practice. Building on this survey, we develop plans and propose policies to improve data collection, use, publication, re-use and training in the neuroscience community.Competing Interest StatementThe authors have declared no competing interest.