Build It, But Will They Come? A Geoscience Cyberinfrastructure Baseline Analysis. - Joel Cutcher-Gershenfeld; Karen S. Baker; Nicholas Berente; Dorothy R. Carter; Leslie A. DeChurch; Courtney C. Flint; Gabriel Gershenfeld; Michael Haberman; John Leslie King; Christine R. Kirkpatrick; Eric Knight; Barbara Lawrence; et al. (Data Sci. J., 2016)

Container-based Analysis Environments for Low-Barrier Access to Research Data. - Craig Willis; Mike Lambert; Kenton McHenry; Christine R. Kirkpatrick (PEARC, 2017)

Bioinformatics Computational Cluster Batch Task Profiling with Machine Learning for Failure Prediction. - Christopher Harrison; Christine R. Kirkpatrick; Inês Dutra (CoRR, 2018)

CHEESE: Cyber Human Ecosystem of Engaged Security Education. - Baijian Yang 001; Rajesh Kalyanam; Craig Willis; Mike Lambert; Christine R. Kirkpatrick (SIGITE, 2019)

FAIR Principles: Interpretations and Implementation Considerations. - Annika Jacobsen; Ricardo de Miranda Azevedo; Nick S. Juty; Dominique Batista; Simon J. Coles; Ronald Cornet; Mélanie Courtot; Mercè Crosas; Michel Dumontier; Chris T. A. Evelo; Carole A. Goble; Giancarlo Guizzardi; et al. (Data Intell., 2020)

Towards the Tipping Point for FAIR Implementation. - Mirjam van Reisen; Mia Stokmans; Mariam Basajja; Antony Otieno Ong'ayo; Christine R. Kirkpatrick; Barend Mons (Data Intell., 2020)

FAIR Practices in Africa. - Mirjam van Reisen; Mia Stokmans; Munyaradzi Mawere; Mariam Basajja; Antony Otieno Ong'ayo; Primrose Nakazibwe; Christine R. Kirkpatrick; Kudakwashe Chindoza (Data Intell., 2020)

The Need of Industry to Go FAIR. - Herman van Vlijmen; Albert Mons; Arne Waalkens; Wouter Franke; Arie Baak; Gerbrand Ruiter; Christine R. Kirkpatrick; Luiz Olavo Bonino da Silva Santos; Bert Meerman; Renger Jellema; Derk L. Arts; Martijn G. Kersloot; et al. (Data Intell., 2020)

Examining the Effect of Implementation Factors on Deep Learning Reproducibility. - Kevin L. Coakley; Christine R. Kirkpatrick; Odd Erik Gundersen (e-Science, 2022)

AI Benchmarking for Science: Efforts from the MLCommons Science Working Group. - Jeyan Thiyagalingam; Gregor von Laszewski; Junqi Yin; Murali Emani; Juri Papay; Gregg Barrett; Piotr Luszczek; Aristeidis Tsaris; Christine R. Kirkpatrick; Feiyi Wang; Tom Gibbs; Venkatram Vishwanath; et al. (ISC Workshops, 2022)

NSDF-Catalog: Lightweight Indexing Service for Democratizing Data Delivery. - Jakob Lüttgau; Giorgio Scorzelli; Valerio Pascucci; Glenn Tarcea; Christine R. Kirkpatrick; Michela Taufer (UCC, 2022)

Developing a Data Science Outreach Program with Rural Native Americans: Southern California Tribal Youth Participate in DataJam via San Diego Supercomputer Center. - Kimberly Bruch; Judy Cameron; Louise Hicks; Catherine Cramer; Christine R. Kirkpatrick (PEARC, 2022)

Sources of Irreproducibility in Machine Learning: A Review. - Odd Erik Gundersen; Kevin L. Coakley; Christine R. Kirkpatrick (CoRR, 2022)

DataPerf: Benchmarks for Data-Centric AI Development. - Mark Mazumder; Colby R. Banbury; Xiaozhe Yao; Bojan Karlas; William Gaviria Rojas; Sudnya Frederick Diamos; Greg Diamos; Lynn He; Douwe Kiela; David Jurado; David Kanter; Rafael Mosquera; et al. (CoRR, 2022)

Playing catch-up in building an open research commons. - Philip E. Bourne; Vivien Bonazzi; Amy Brand; Bonnie Carroll; Ian T. Foster; Ramanathan V. Guha; Robert J. Hanisch; Sallie Ann Keller; Mary Lee Kennedy; Christine R. Kirkpatrick; Barend Mons; Sarah M. Nusser; et al. (CoRR, 2022)

FAIR for AI: An interdisciplinary, international, inclusive, and diverse community building perspective. - Eliu A. Huerta; Ben Blaiszik; L. Catherine Brinson; Kristofer E. Bouchard; Daniel Diaz 003; Caterina Doglioni; Javier M. Duarte; Murali Emani; Ian T. Foster; Geoffrey C. Fox; Philip C. Harris; Lukas Heinrich; et al. (CoRR, 2022)

DataPerf: Benchmarks for Data-Centric AI Development. - Mark Mazumder; Colby R. Banbury; Xiaozhe Yao; Bojan Karlas; William Gaviria Rojas; Sudnya Frederick Diamos; Greg Diamos; Lynn He; Alicia Parrish; Hannah Rose Kirk; Jessica Quaye; Charvi Rastogi; et al. (NeurIPS, 2023)

NSDF-Services: Integrating Networking, Storage, and Computing Services into a Testbed for Democratization of Data Delivery. - Jakob Lüttgau; Heberth F. Martinez; Paula Olaya; Giorgio Scorzelli; Glenn Tarcea; Jay F. Lofstead; Christine R. Kirkpatrick; Valerio Pascucci; Michela Taufer (UCC, 2023)

Engaging with Researchers and Raising Awareness of FAIR and Open Science through the FAIR+ Implementation Survey Tool (FAIRIST). - Christine R. Kirkpatrick; Kevin L. Coakley; Julie Christopher; Inês Dutra (CoRR, 2023)

Enhancing Scientific Research with FAIR Digital Objects in the National Science Data Fabric. - Michela Taufer; Heberth F. Martinez; Jakob Lüttgau; Lauren Whitnah; Giorgio Scorzelli; Pania Newell; Aashish Panta; Peer-Timo Bremer; Douglas Fils; Christine R. Kirkpatrick; Valerio Pascucci (Comput. Sci. Eng., 2023)

Engaging with Researchers and Raising Awareness of FAIR and Open Science through the FAIR+ Implementation Survey Tool (FAIRIST). - Christine R. Kirkpatrick; Kevin L. Coakley; Julianne Christopher; Inês Dutra (Data Sci. J., 2023)

FDO Implementation Summit 2024 Looking Back. - Christine R. Kirkpatrick; Dimitris Koureas; George O. Strawn; Peter Wittenburg (FDO, 2024)

Sustainable Data Democratization: A Multifaceted Investment for an Equitable Future. - Michela Taufer; Valerio Pascucci; Christine R. Kirkpatrick; Ian T. Foster (CoRR, 2024)

Ten simple rules for good model-sharing practices. - Ismael Kherroubi Garcia; Christopher Erdmann; Sandra Gesing; C. Michael Barton; Lauren Cadwallader; Geerten Hengeveld; Christine R. Kirkpatrick; Kathryn Knight; Carsten Lemmen; Rebecca Ringuette; Qing Zhan; Melissa Harrison; et al. (PLoS Comput. Biol., 2025)

Towards Experiment Execution in Support of Community Benchmark Workflows for HPC. - Gregor von Laszewski; Wesley Brewer; Sean R. Wilkinson; Andrew Shao; Jacques Phillipe Fleischer; Harshad Pitkar; Christine R. Kirkpatrick; Geoffrey C. Fox (CoRR, 2025)