most citedLinkML: An Open Data Modeling Framework

5 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

cs.DB2025★ 5 cited

LinkML: An Open Data Modeling Framework

Sierra A. T. Moxon, Harold Solbrig, Nomi L. Harris +33

Scientific research relies on well-structured, standardized data; however, much of it is stored in formats such as free-text lab notebooks, non-standardized spreadsheets, or data r…

q-bio.NC2024

ODIN: Open Data In Neurophysiology: Advancements, Solutions & Challenges

Colleen J. Gillon, Cody Baker, Ryan Ly +5

Across the life sciences, an ongoing effort over the last 50 years has made data and methods more reproducible and transparent. This openness has led to transformative insights and…

cs.DB2024

Methods for Linking Data to Online Resources and Ontologies with Applications to Neurophysiology

Matthew Avaylon, Ryan Ly, Andrew Tritt +4

Across many domains, large swaths of digital assets are being stored across distributed data repositories, e.g., the DANDI Archive [8]. The distribution and diversity of these repo…

q-bio.NC2024

CREIMBO: Cross-Regional Ensemble Interactions in Multi-view Brain Observations

Noga Mudrik, Ryan Ly, Oliver Ruebel +1

Modern recordings of neural activity provide diverse observations of neurons across brain areas, conditions, and subjects; presenting an exciting opportunity to reveal the fundamen…

cs.LG2024

The Artificial Intelligence Ontology: LLM-assisted construction of AI concept hierarchies

Marcin P. Joachimiak, Mark A. Miller, J. Harry Caufield +5

The Artificial Intelligence Ontology (AIO) is a systematization of artificial intelligence (AI) concepts, methodologies, and their interrelations. Developed via manual curation, wi…