LinkML: an open data modeling framework is a research paper published in GigaScience (2025). On theSindex it has a DataRank of 0. It has been cited 4 times.
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Linked data & code
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U.S. Department of Energy
Grant: DE-AC02-05CH11231
National Institute of Mental Health
Grant: 4DP2MH129986
National Institutes of Health
Grant: U24NS120057
National Institutes of Health
Grant: 1U24MH130919-01
A Community Resource for Single Cell Data in the Brain
National Institutes of Health
Grant: 1U01DE033978-01
Developing an Ontology for Dental Care-Related Fear and Anxiety: Toward an Understanding of Problems in Dental Care Utilization
National Institutes of Health
Grant: 1OT2TR005712-01
DOGSLED: Data, Ontologies, and Graphs Supporting Learning and Enhanced Discovery
National Cancer Institute
Grant: 19×077Q HHSN261201500003I
Wellcome Trust
Grant: 313291
Wellcome Trust
Grant: 313291/Z/24/Z
NIMH NIH HHS
Grant: U24 MH130919
NHGRI NIH HHS
National Human Genome Research Institute
NHGRI NIH HHS
FWCI
9.58
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords
[foundingGIDE 2026] Toward FAIR Bioimage Data from the Ground Up: The North American Landscape
[foundingGIDE 2026] Toward FAIR Bioimage Data from the Ground Up: The North American Landscape
[OME 2026] Poster: Imaging-PHD: A Next-Generation Metadata Framework for Microscopy Hardware Descriptors Enabling FAIR Data Reuse and Reproducibility
[OME 2026] Poster: Imaging-PHD: A Next-Generation Metadata Framework for Microscopy Hardware Descriptors Enabling FAIR Data Reuse and Reproducibility
[OME 2026] Imaging-PHD: A Next-Generation Metadata Framework for Microscopy Hardware Descriptors Enabling FAIR Data Reuse and Reproducibility
LinkML: An Open Data Modeling Framework