Linking from observations to data to actionable science in the climate data initiative. - Curt Tilmes; Ana Pinheiro Privette; Jeffrey Chen; Rahul Ramachandran; Kaylin M. Bugbee; Robert E. Wolfe (IGARSS, 2015)

Towards intelligent GIServices. - Peng Yue; Peter Baumann 001; Kaylin M. Bugbee; Liangcun Jiang (Earth Sci. Informatics, 2015)

Exploiting dark information resources to create new value added services to study Earth science phenomena. - Rahul Ramachandran; Manil Maskey; Xiang Li 043; Kaylin M. Bugbee (IGARSS, 2016)

Climate data initiative: A geocuration effort to support climate resilience. - Rahul Ramachandran; Kaylin M. Bugbee; Curt Tilmes; Ana Pinheiro Privette (Comput. Geosci., 2016)

A relevancy algorithm for curating earth science data around phenomenon. - Manil Maskey; Rahul Ramachandran; Xiang Li 043; Amanda Weigel; Kaylin M. Bugbee; Patrick Gatlin; Jeffrey J. Miller (Comput. Geosci., 2017)

A Neural Network-Powered Cognitive Method of Identifying Semantic Entities in Earth Science Papers. - Xiaoyi Duan; Jia Zhang 001; Rahul Ramachandran; Patrick Gatlin; Manil Maskey; Jeffrey J. Miller; Kaylin M. Bugbee; Tsengdar J. Lee (ICCC, 2018)

The art and science of data curation: Lessons learned from constructing a virtual collection. - Kaylin M. Bugbee; Rahul Ramachandran; Manil Maskey; Patrick Gatlin (Comput. Geosci., 2018)

Alternative Datasets for Identification of Earth Science Events and Data. - Kaylin M. Bugbee; Robert Griffin; Brian Freitag; Jeffrey J. Miller; Rahul Ramachandran; Jia Zhang 001 (IGARSS, 2019)

Building a Data Ecosystem: A New Data Stewardship Paradigm for the Multi-Mission Algorithm and Analysis Platform (MAAP). - Kaylin M. Bugbee; Christopher Lynnes; Manil Maskey; Aimee Barciauskas; Rahul Ramachandran; Aaron Kaulfus; Jeanné le Roux; Jeffrey J. Miller; Iksha Gurung; Amanda S. Whitehurst (IGARSS, 2019)

Standardized Algorithm Documentation for Improved Scientific Data Understanding: The Algorithm Publication Tool Prototype. - Kaylin M. Bugbee; Aaron Kaulfus; Alyssa Harris; Sean Bailey; Rahul Ramachandran; Sean Harkins; Aimee Barciauskas; Deborah K. Smith (IGARSS, 2020)

Advancing Open Science Through Innovative Data System Solutions: The Joint ESA-NASA Multi-Mission Algorithm and Analysis Platform (MAAP)'s Data Ecosystem. - Kaylin M. Bugbee; Rahul Ramachandran; Manil Maskey; Aimee Barciauskas; Aaron Kaulfus; Dai Hai Ton That; Katrina Virts; Kel N. Markert; Christopher Lynnes (IGARSS, 2020)

Selecting Approaches for Enabling Enterprise Data Search: NASA's Science Mission Directorate (SMD) Catalog. - Kaylin M. Bugbee; Rahul Ramachandran; Ashish Acharya; Dai Hai Ton That; John Hedman; Ahmed Eleish; Charles Driessnack; Wesley Adams; Emily Foshee (IGARSS, 2022)

Building Knowledge Graphs in Heliophysics and Astrophysics. - Fech Scen Khoo; Megan Mark; Roelien C. Timmer; Marcella Scoczynski Ribeiro Martins; Emily Foshee; Kaylin M. Bugbee; Gregory Renard; Anamaria Berea (NLDB, 2023)

NASA Science Mission Directorate Knowledge Graph Discovery. - Roelien C. Timmer; Megan Mark; Fech Scen Khoo; Marcella Scoczynski Ribeiro Martins; Anamaria Berea; Gregory Renard; Kaylin M. Bugbee (WWW (Companion Volume), 2023)

INDUS: Effective and Efficient Language Models for Scientific Applications. - Bishwaranjan Bhattacharjee; Aashka Trivedi; Masayasu Muraoka; Muthukumaran Ramasubramanian; Takuma Udagawa; Iksha Gurung; Nishan Pantha; Rong Zhang; Bharath Dandala; Rahul Ramachandran; Manil Maskey; Kaylin M. Bugbee; et al. (EMNLP (Industry Track), 2024)

The Science Discovery Engine: Leveraging an Insight Engine Capability to Enable Scientific Search. - Kaylin M. Bugbee; Ashish Acharya; Emily Foshee; Muthukumaran Ramasubramanian; Carson Davis; Bishwas Praveen; Kartik Nagaraja; Tarun Misra; Shravan Vishwanathan; Stephanie Wingo; Nikita Balsara; Xiang Li 043; et al. (IGARSS, 2024)

Enabling Dynamic Data Governance in Science: Design, Implementation, and Future Directions of the Modern Data Governance Framework. - Kaylin M. Bugbee; Rahul Ramachandran; Aaron Kaulfus; Jeanné le Roux; Ge Peng; Deborah K. Smith; Iksha Gurung; Ashish Acharya; Jerika Christman (IGARSS, 2024)

INDUS: Effective and Efficient Language Models for Scientific Applications. - Bishwaranjan Bhattacharjee; Aashka Trivedi; Masayasu Muraoka; Muthukumaran Ramasubramanian; Takuma Udagawa; Iksha Gurung; Rong Zhang; Bharath Dandala; Rahul Ramachandran; Manil Maskey; Kaylin M. Bugbee; Mike Little; et al. (CoRR, 2024)