Scholarly Data Share: Sharing Very Large Research Datasets

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Citation

Katie Chapman, Guangchen Ruan, Esen Tuna, " Scholarly Data Share: sharing very large research datasets" Statewide IT 2023, April 2023.

Description

Scholarly Data Share (SDS) is a managed data-sharing service. It provides access to large curated research datasets stored in a tape archive. Data is stored in the Scholarly Data Archive (SDA) and accessed through a lightweight web interface for search and browse. Data is delivered asynchronously for download. SDS is designed for sustainability over time in cost and effort using existing tool chains and open-source software. Indiana Spatial Data Portal (ISDP) is built using an SDS instance.

Date

Apr 2023

Staff

Katie Chapman
Esen Tuna
Guangchen Ruan

Type

Presentation