Christine R. Kirkpatrick

Orcid: 0000-0002-4451-8042

Affiliations:
  • San Diego Supercomputer Center, CA, USA


According to our database1, Christine R. Kirkpatrick authored at least 29 papers between 2016 and 2026.

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Timeline

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Bibliography

2026
Strategic investments in data democratization for scientific innovation.
Int. J. High Perform. Comput. Appl., 2026

FIP Check: A Rubric-Based Tool for Assessing FAIR Implementation Profiles and Enabling Resources.
Data Sci. J., 2026

Lowering Barriers and Raising Engagement: Stewardship Lessons From Faculty at Primarily Undergraduate Institutions Using National Cyberinfrastructure.
Comput. Sci. Eng., 2026

2025
AI Benchmark Democratization and Carpentry.
CoRR, December, 2025

Towards Experiment Execution in Support of Community Benchmark Workflows for HPC.
CoRR, July, 2025

Ten simple rules for good model-sharing practices.
PLoS Comput. Biol., 2025

2024
Sustainable Data Democratization: A Multifaceted Investment for an Equitable Future.
CoRR, 2024

FDO Implementation Summit 2024 Looking Back.
Proceedings of the International FAIR Digital Objects Implementation Summit 2024, 2024

2023
Engaging with Researchers and Raising Awareness of FAIR and Open Science through the FAIR+ Implementation Survey Tool (FAIRIST).
Data Sci. J., January, 2023

Enhancing Scientific Research with FAIR Digital Objects in the National Science Data Fabric.
Comput. Sci. Eng., 2023

Engaging with Researchers and Raising Awareness of FAIR and Open Science through the FAIR+ Implementation Survey Tool (FAIRIST).
CoRR, 2023

NSDF-Services: Integrating Networking, Storage, and Computing Services into a Testbed for Democratization of Data Delivery.
Proceedings of the IEEE/ACM 16th International Conference on Utility and Cloud Computing, 2023


2022
FAIR for AI: An interdisciplinary, international, inclusive, and diverse community building perspective.
CoRR, 2022

Playing catch-up in building an open research commons.
CoRR, 2022

DataPerf: Benchmarks for Data-Centric AI Development.
CoRR, 2022

Sources of Irreproducibility in Machine Learning: A Review.
CoRR, 2022

Developing a Data Science Outreach Program with Rural Native Americans: Southern California Tribal Youth Participate in DataJam via San Diego Supercomputer Center.
Proceedings of the PEARC '22: Practice and Experience in Advanced Research Computing, Boston, MA, USA, July 10, 2022

NSDF-Catalog: Lightweight Indexing Service for Democratizing Data Delivery.
Proceedings of the 15th IEEE/ACM International Conference on Utility and Cloud Computing, 2022

AI Benchmarking for Science: Efforts from the MLCommons Science Working Group.
Proceedings of the High Performance Computing. ISC High Performance 2022 International Workshops - Hamburg, Germany, May 29, 2022

Examining the Effect of Implementation Factors on Deep Learning Reproducibility.
Proceedings of the 18th IEEE International Conference on e-Science, 2022

2020
The Need of Industry to Go FAIR.
Data Intell., 2020

FAIR Practices in Africa.
Data Intell., 2020

Towards the Tipping Point for FAIR Implementation.
Data Intell., 2020

FAIR Principles: Interpretations and Implementation Considerations.
Data Intell., 2020

CHEESE: Cyber Human Ecosystem of Engaged Security Education.
Proceedings of the IEEE Frontiers in Education Conference, 2020

2018
Bioinformatics Computational Cluster Batch Task Profiling with Machine Learning for Failure Prediction.
CoRR, 2018

2017
Container-based Analysis Environments for Low-Barrier Access to Research Data.
Proceedings of the Practice and Experience in Advanced Research Computing 2017: Sustainability, 2017

2016
Build It, But Will They Come? A Geoscience Cyberinfrastructure Baseline Analysis.
Data Sci. J., 2016


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