LabCompass

Beth Plale

Decision Sciences · Indiana University

Publications

438

Citations

5,137

Est. group size

Recurring co-author estimate

Active years

30

Publishing since 1997

Research summary
AI-generated

Beth Plale studies how large-scale scientific computing systems manage, share, and preserve research data, with a strong focus on making computational research reproducible and on building cyberinfrastructure (shared computing platforms and tools) that broadens access to artificial intelligence. Recent work explores edge AI pipelines, cloud-based machine learning deployment, and open scholarship practices. A recurring theme is 'democratizing' AI and data so more researchers and institutions can use these resources.

Scientific data managementReproducibility in high-performance computingAI cyberinfrastructure and democratizationOpen and FAIR research data/softwareDistributed and cloud computing

Publication activity has been steady but uneven over the past decade, with productive years interspersed with gaps, averaging about five publications per year over the last five years.

Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026

Publication cadence
Publications per year over the last 10 years — averaging 4.8/year recently
2017: 8 publications172018: 3 publications182019: 7 publications19202021: 10 publications1021222023: 9 publications232024: 5 publications242025: 5 publications252026: 5 publications26
Recent publications
Publishes in
  • Zenodo (CERN European Organization for Nuclear Research)×7
  • arXiv (Cornell University)×5
  • Elsevier eBooks×3
  • GigaScience×2
  • Lecture notes in computer science×2

This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 11, 2026.

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