Scholarly Data Share: A Model for Sharing Big Data in Academic Research

Katie Chapman, Guangchen Ruan, Esen Tuna, Alan Walsh, Eric Wernert, "Scholarly Data Share: A Model for Sharing Big Data in Academic Research," PEARC '22: Practice and Experience in Advanced Research Computing, July 2022, Article No.: 2, 1–8.

The Scholarly Data Share (SDS) is a lightweight web interface that facilitates access to large, curated research datasets stored in a tape archive. SDS addresses the common needs of research teams working with and managing large and complex datasets, and the associated storage. In this paper, we describe the development of the SDS and the implementation of an instance to provide access to a large collection of geospatial datasets.

Jul 2022

Data Management

Conference Paper