most citedHuBMAP Data Portal: a resource for multimodal spatial and single-cell data of healthy human tissues

3 citations · 3 across the 2 of their papers we have counts for

collaborators

6 papers

q-bio.QM20263 cited

HuBMAP Data Portal: a resource for multimodal spatial and single-cell data of healthy human tissues

Morgan L. Turner, Thomas C. Smits, Tiffany S. Liaw +46

The NIH Human BioMolecular Atlas Program (HuBMAP) Data Portal (https://portal.hubmapconsortium.org/) serves as a comprehensive repository for multimodal, multi-scale spatial and si…

cs.DB2026

Automated Standardization of Legacy Biomedical Metadata Using an Ontology-Constrained LLM Agent

Josef Hardi, Martin J. O'Connor, Marcos Martinez-Romero +3

Scientific metadata are often incomplete and noncompliant with community standards, limiting dataset findability, interoperability, and reuse. Even when standard metadata reporting…

cs.DL2025

Ensuring Adherence to Standards in Experiment-Related Metadata Entered Via Spreadsheets

Martin J. O'Connor, Josef Hardi, Marcos Martínez-Romero +5

Scientists increasingly recognize the importance of providing rich, standards-adherent metadata to describe their experimental results. Despite the availability of sophisticated to…

cs.DL2025

Knowledge engineering for open science: Building and deploying knowledge bases for metadata standards

Mark A. Musen, Martin J. O'Connor, Josef Hardi +1

Scientists strive to make their datasets available in open repositories, with the goal that they be findable, accessible, interoperable, and reusable (FAIR). Although it is hard fo…

cs.DL2025

Author Once, Publish Everywhere: Portable Metadata Authoring with the CEDAR Embeddable Editor

Martin J. O'Connor, Marcos Martinez-Romero, Attila L. Egyedi +3

High-quality, "rich" metadata are essential for making research data findable, interoperable, and reusable. The Center for Expanded Data Annotation and Retrieval (CEDAR) has long a…

cs.DB2025

RADx Data Hub: A Cloud Platform for FAIR, Harmonized COVID-19 Data

Marcos Martinez-Romero, Matthew Horridge, Nilesh Mistry +15

The COVID-19 pandemic highlighted the urgent need for robust systems to enable rapid data collection, integration, and analysis for public health responses. Existing approaches oft…