@article {RN166,
	title = {The Virtual Data Collaboratory: A Regional Cyberinfrastructure for Collaborative Data-Driven Research},
	journal = {Computing},
	volume = {22},
	number = {3},
	year = {2020},
	pages = {79-92},
	type = {Journal Article},
	abstract = {The Virtual Data Collaboratory is a federated data cyberinfrastructure designed to drive data-intensive, interdisciplinary, and collaborative research that will impact researchers, educators, and entrepreneurs across a broad range of disciplines and domains as well as institutional and geographic boundaries.},
	keywords = {big data, Cloud computing, Collaboration, Computer architecture, Education, Software engineering, Virtual reality},
	doi = {10.1109/mcse.2019.2908850},
	url = {https://app.dimensions.ai/details/publication/pub.1113521625},
	author = {Parashar, Manish and Simonet, Anthony and Rodero, Ivan and Ghahramani, Forough and Agnew, Grace and Jantz, Ron and Honavar, Vasant}
}
@article {RN94,
	title = {Submarine: A subscription-based data streaming framework for integrating large facilities and advanced cyberinfrastructure},
	journal = {Concurrency and Computation Practice and Experience},
	year = {2019},
	pages = {e5256},
	type = {Journal Article},
	abstract = {Large scientific facilities provide researchers with instrumentation, data, and data products that can accelerate scientific discovery. However, increasing data volumes coupled with limited local computational power prevents researchers from taking full advantage of what these facilities can offer. Many researchers looked into using commercial and academic cyberinfrastructure (CI) to process these data. Nevertheless, there remains a disconnect between large facilities and CI that requires researchers to be actively part of the data processing cycle. The increasing complexity of CI and data scale necessitates new data delivery models, those that can autonomously integrate large-scale scientific facilities and CI to deliver real-time data and insights. In this paper, we present our initial efforts using the Ocean Observatories Initiative project as a use case. In particular, we present a subscription-based data streaming service for data delivery that leverages the Apache Kafka data streaming platform. We also show how our solution can automatically integrate large-scale facilities with CI services for automated data processing.},
	doi = {10.1002/cpe.5256},
	url = {https://app.dimensions.ai/details/publication/pub.1113381084},
	author = {Zamani, Ali Reza and AbdelBaky, Moustafa and Balouek-Thomert, Daniel and Villalobos, J. J. and Rodero, Ivan and Parashar, Manish}
}
