Scholarly Data Share: Sharing Very Large Research Datasets

Chapman, Katie, Guangchen Ruan, Esen Tuna, and Alan Walsh. "Scholarly Data Share: Sharing Very Large Research Datasets." Statewide IT 2024, Bloomington, IN. 23 April 2024.

Scholarly Data Share (SDS) is a managed data-sharing service developed by the UITS Research Data Services team. It provides access to large, curated research datasets stored in the Scholarly Data Archive (SDA). A lightweight web interface provides for searching and browsing. Data is delivered asynchronously for download to authorized users. Both restricted and open access are supported. SDS is designed for sustainability over time in cost and effort, using existing tool chains and open-source software.

Apr 2024

Katie Chapman
Esen Tuna
Guangchen Ruan
Alan Walsh

SDS

Presentation