HeLx

Overview

A combination technology framework and process for accelerating science, HeLx (formerly xDCI) represents cross-disciplinary data science cyberinfrastructure. HeLx provides scientists with a technology framework that enables their research communities to rapidly deploy robust cyberinfrastructure that can easily ingest, move, share, analyze and archive scientific data in all its varieties. The HeLx framework integrates its services and tools with the practices of domain scientists, which means they are better able to fast-track their science once they’ve deployed the HeLx cyberinfrastructure.

As data science cyberinfrastructure, HeLx supports data-intensive research in a number of scientific domains including genomics, environmental science, biomedical and health sciences, and the social sciences. HeLx leverages open source software packages such as SciDAS (Scientific Data Analysis at Scale) and iRODS (the integrated Rule Oriented Data System) to address significant challenges in data storage, sharing, analysis, and visualization.

RENCI offers HeLx as a solution to scientific communities that will simplify the process of creating and using data science cyberinfrastructure, including tools for analyzing, sharing and managing large data sets. By using the HeLx framework, scientists are able to incorporate data science tools into their work, speed up and simplify processes for data sharing, collaboration, analysis and management, and thereby enable scientific discoveries at a faster pace.

Project Team

Ashok Krishnamurthy (Project lead)

Steve Cox (Project co-lead)

Stan Ahalt

Chris Bizon

Kira Bradford

Chris Calloway

Claris Castillo

Jason Coposky

Kyle Ferriter

Isma Gilani

Yue Gao

Ray Idaszak

Fan Jiang

Oleg Kapeljushnik

Murali Karthik Kothapalli

Howard Lander

Ananya Mukherjee

Becca Ratchford,

Terrell Russell

Mike Shoffner

Marcin Sliwowski

Michael Stealey

Soboma Wokoma

Hao Xu

Hong Yi

Resources

xDCI, a data science cyberinfrastructure for interdisciplinary research

xDCI, accelerating data cyberinfrastructure and research for Community Science Gateways