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pro vyhledávání: '"Ashmita Kumar"'
Autor:
Satrajit S. Ghosh, Karl G. Helmer, Jeffrey S. Grethe, David Kennedy, David B. Keator, Albert Crowley, Ashmita Kumar, JB Poline, Nazek Queder
Publikováno v:
F1000Research, Vol 11 (2022)
The Neuroimaging Data Model (NIDM) is a series of specifications for describing all aspects of the neuroimaging data lifecycle from raw data to analyses and provenance. NIDM uses community-driven terminologies along with unambiguous data dictionaries
Externí odkaz:
https://doaj.org/article/07bcc9bdfa234a7aabb82967a657e50a
Autor:
Ashmita Kumar
The Neuroimaging Data Model (NIDM) was started by an international team of cognitive scientists, computer scientists and statisticians to develop a data format capable of describing all aspects of the data lifecycle, from raw data through analyses an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::51cc4ffde118a88f0af283f34d8cc334
https://doi.org/10.36227/techrxiv.15062865.v1
https://doi.org/10.36227/techrxiv.15062865.v1
Autor:
Ashmita Kumar, Albert Crowley, Nazek Queder, JB Poline, Satrajit S. Ghosh, David Kennedy, Jeffrey S. Grethe, Karl G. Helmer, David B. Keator
Publikováno v:
F1000Research. 11:228
The Neuroimaging Data Model (NIDM) is a series of specifications for describing all aspects of the neuroimaging data lifecycle from raw data to analyses and provenance. NIDM uses community-driven terminologies along with unambiguous data dictionaries