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Moxon S, Mungall CJ, Haendel M et al. The linked data modeling language (LinkML): A framework for describing and integrating data [version 1; not peer reviewed]. F1000Research 2023, 12:1043 (slides) (https://doi.org/10.7490/f1000research.1119603.1)
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The linked data modeling language (LinkML): A framework for describing and integrating data

Sierra Moxon1, Christopher J Mungall, Melissa Haendel, Harold Solbrig, Mark Miller, Sujay Patil, Patrick Kalita, Kevin Schaper, Tim Putman, Deepak Unni, Justin Reese, Richard Bruskiewich, Harry Caufield, Corey Cox, Frank Dekerval, David Linke, Harshad Hegde
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Published 27 Aug 2023

The linked data modeling language (LinkML): A framework for describing and integrating data

[version 1; not peer reviewed]

Sierra Moxon1, Christopher J Mungall, Melissa Haendel, Harold Solbrig, Mark Miller, Sujay Patil, Patrick Kalita, Kevin Schaper, Tim Putman, Deepak Unni, Justin Reese, Richard Bruskiewich, Harry Caufield, Corey Cox, Frank Dekerval, David Linke, Harshad Hegde
Author Affiliations
1 Lawrence Berkeley National Lab - LBNL, USA
Presented at
Bioinformatics Open Source Conference (BOSC), 2023
Abstract
Competing Interests

No competing interests were disclosed

Keywords
data model, linked data, open science, ontology, schema, model, findable, accessible, interoperable, reusable, FAIR, JSONSchema, SQL DDL, RDF, OWL
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