Data Lifecycle & Scalable Workflows

The Data Lifecycle & Scalable Workflows Group enables data stewardship and enriched scalable data access capabilities, and develops end-to-end scientific workflow technologies to user programs.

Meet the Team

Valentine Anantharaj

Computational Scientist (Climate)

Katie Knight

Data Engineer

Ketan Maheshwari

Linux Systems Engineer

Gregory (Greg) Shutt

CADES Task Lead

Suhas Somnath

Computer Scientist

Dale Stansberry

Systems Programmer

Sean Wilkinson

Research Scientist in Large-Scale Data Science and Learning

Group R&D Activities

Constellation is a digital object identifier (DOI) based science network for supercomputing data. Constellation makes it possible for…

This project will provide an important model for future exascale computing, increasing the coherence between the technology base…

Sight is an exploratory visualization tool for large scale datasets supporting raytracing, remote and interactive scientific visualization, parallel…

CADES is an ORNL facility to support R&D staff’s scalable computing and data analytics needs—making a research computing…

[From the ALICE website: http://aliceinfo.cern.ch/Public/Welcome.html] ALICE is the acronym for A Large Ion Collider Experiment, one of the…

The "Programming with Big Data in R" project (pbdR) is a set of highly scalable R packages for…

The Grid Architecture project objectives are to provide a set of architectural depictions, tools, and skills to the…

The Advanced Data and Workflow group brings a holistic view to scalable services that span the data lifecycle…

DataFed is a federated, big-data storage, collaboration, and full-life-cycle management system for computational science and/or data analytics within…