SciDAS (Scientific Data at Scale)

SciDAS is a multi-institutional project funded by the National Science Foundation (award #1659300). The goal for SciDAS is to provide advanced cyberinfrastructure to support the creation of a National-level distributed compute infrastructure for the efficient injection of data and workflows compute environments. SciDAS is supported by rule based data discovery and retention policies with iRODs and a new SciDASH dashboard for monitoring and interacting with the high scale computational experiment.  To lean more please visit the official home page of SciDAS.

The SciDAS project will provide to the Tripal community two primary advancements.  First is the integration of Tripal with iRODs.  This new module will allow Tripal sites to query remote data stores that support iRODS such as the Cyverse Data Store.  Second, a new SciDAS module will allow Tripal sites to launch applications within the infrastructure created by SciDAS.  To demonstrate this utlity, a Systems-Biology use case will be developed in which a Tripal-site will query data generated from a workflow executed by SciDAS, and allow expandsion of the underlying data by submitting additonal jobs to update results.  These modules will be shared with all Tripal users for inclusion in any site.

 

Our Team

The SciDAS Project is a collaborative effort between theRenaissance Computing Institute (RENCI), Clemson University,  and Washington State University.