Abstract: In early 2015 the United States Department of Energy conceived of a consortium of collaborative bodies based on shared expertise, data, and resources that could be targeted towards the more difficult problems in energy materials research. The concept of virtual laboratories had been envisioned and discussed earlier in the decade in response to the advent of the Materials Genome Initiative and similar scientific thrusts. To be effective, any virtual laboratory needed a robust method for data management, communication, security, data sharing, dissemination, and demonstration to work efficiently and effectively for groups of remote researchers. With the accessibility of new, easily deployed cloud technology and software frameworks, such individual elements could be integrated, and the required collaboration architecture is now possible. The developers have leveraged open-source software frameworks, customized them, and merged them into a platform to enable collaborative energy materials science, regardless of the geographic dispersal of the people and resources. After five years in operations, the systems are demonstratively an effective platform for enabling research within the Energy Material Networks (EMN). This paper will show the design and development of a secured scientific data sharing platform, the ability to customize the system to support diverse workflows, and examples of the enabled research and results connected with some of the Energy Material Networks.

Robert R. White, Kristin Munch, Nicholas Wunder, Nalinrat Guba, Chitra Sivaraman, Kurt M. Van Allsburg, Huyen Dinh and Courtney Pailing, “Energy Material Network Data Hubs” International Journal of Advanced Computer Science and Applications(IJACSA), 12(6), 2021. http://dx.doi.org/10.14569/IJACSA.2021.0120677

@article{White2021,
title = {Energy Material Network Data Hubs},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2021.0120677},
url = {http://dx.doi.org/10.14569/IJACSA.2021.0120677},
year = {2021},
publisher = {The Science and Information Organization},
volume = {12},
number = {6},
author = {Robert R. White and Kristin Munch and Nicholas Wunder and Nalinrat Guba and Chitra Sivaraman and Kurt M. Van Allsburg and Huyen Dinh and Courtney Pailing}
}