@inproceedings{7f961bfa48b84325a4fbde97faa94489,
title = "Shared research group storage solution with integrated access management",
abstract = "Management of research data storage areas for projects and research groups has become a time consuming task for research and data support sta. Purdue Research Computing sta. have developed a web-based system to allow quick provisioning of group storage areas on the Research Data Depot shared .lesystem operated by Purdue's Research Computing group. .e system allows technical and non-Technical sta.To provision Research Data Depot storage allocations and con.gure data access management for research groups quickly, consistently, and reliably via an intuitive web interface. .is system also allows for tracking allocation usage of these storage spaces and customizable alerting of the users of these spaces when allocations are nearly consumed.",
keywords = "Access Management, Data Depot, Data Storage, Research Data",
author = "Dietz, \{Daniel T.\} and Gorenstein, \{Lev A.\} and Veldman, \{Gregory S.\} and Colby, \{Kevin D.\}",
note = "Publisher Copyright: {\textcopyright} 2017 Association for Computing Machinery.; 2017 Practice and Experience in Advanced Research Computing, PEARC 2017 ; Conference date: 09-07-2017 Through 13-07-2017",
year = "2017",
month = jul,
day = "9",
doi = "10.1145/3093338.3093354",
language = "English",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery",
booktitle = "PEARC 2017 - Practice and Experience in Advanced Research Computing 2017",
}