Eric Douglass

Lawrence Berkeley National Laboratory

Papers

1

Total Citations

200

H-Index

1

About

Eric Douglass is a leading figure in biomedical ontology engineering, best known for developing ROBOT (ROBOT is an OBO Tool), a powerful open-source framework that automates complex ontology workflows. His work addresses a critical bottleneck in the life sciences: the labor-intensive process of building, maintaining, and quality-controlling ontologies. Douglass’s flagship paper, “ROBOT: A Tool for Automating Ontology Workflows” (2019), has garnered over 200 citations, reflecting its widespread adoption by ontology developers worldwide. By enabling automated reasoning, dependency extraction, and standardized repository generation, ROBOT has dramatically streamlined ontology management, making it accessible to researchers without deep computational expertise. Beyond this tool, Douglass has contributed to the Open Biological and Biomedical Ontology (OBO) Foundry principles, helping establish best practices for ontology interoperability and reproducibility. His work has been instrumental in advancing data integration in fields like genomics, neuroscience, and clinical informatics. For students and researchers, Douglass exemplifies how thoughtful automation can transform tedious workflows into efficient, scalable processes—a lesson in the power of engineering to accelerate scientific discovery.

Research Focus

Key Achievements

1
H-Index
1
Papers
200
Total Citations
200
Avg Citations/Paper
🏆 Most Cited Paper
ROBOT: A Tool for Automating Ontology Workflows
200 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Lawrence Berkeley National Laboratory

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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