Data sharing is essential in the numerical simulations research. We introduce a data repository, DataVault, that is designed for data sharing, search and analysis. A comparative study of existing repositories is performed to analyze features that are critical to a data repository. We describe the architecture, workflow, and deployment of DataVault, and provide three use-case scenarios for different communities to facilitate the use and application of DataVault. Potential features are proposed and we outline the future development for these features.
@article{arxiv.2012.06635,
title = {DataVault: A Data Storage Infrastructure for the Einstein Toolkit},
author = {Yufeng Luo and Roland Haas and Qian Zhang and Gabrielle Allen},
journal= {arXiv preprint arXiv:2012.06635},
year = {2021}
}