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Driving Frictionless Scientific Research

on AWS Cloud with Self-Service Portal

Featured Blogs
2021 Blog

How to speed up the GEOS-Chem Earth Science Research using AWS Cloud?

 February, 2021

Working on non-scientific tasks such as setting up instances, installing software libraries, making model compile, and preparing input data are some o...

2021 Blog

Leveraging AWS HPC for Accelerating Scientific Research on Cloud

 January, 2021

AWS provides a comprehensive, elastic, and scalable cloud infrastructure to run your HPC applications. Working with AWS in exploring HPC for driving S...

2020 Blog

Time to Unlock the Power with RLCatalyst Cloud Portal

 November, 2020

While there is rapid momentum for every enterprise in the world in consuming more Cloud Assets and Services, there is still lack of maturity in adopti...

Solution for Universities and Research Institutions to use Self-Service Cloud leveraging RLCatalyst Research Gateway
Scientific Research is enabling new innovations and discoveries in multiple fields to make human life better. There are large and complex programs funded by governments, public sector and private organizations. Every higher education institution and universities globally have specialized focus on Research Programs. The need to drive frictionless research across geographies requires ability to focus on Science while addressing the specific needs of People-Programs-Resources interactions. Leveraging Open Data repositories (e.g. Open Data on AWS) is also a key need for intramural and extramural collaboration in this segment.
The scientific research community of researchers and principal investigators need a solution that helps them focus on science and not to worry about infrastructure, security, data privacy, collaboration, and governance. The IT teams of Universities and Research Organizations want to provide Self-Service Access to the scientific research community with appropriate controls on budget tracking, approved assets consumption and secure data analysis. The solution needs to be cost effective, easy to deploy and flexible to fit with existing setups.
RLCatalyst Research Gateway is now available in AWS Marketplace. Click here for detailed information.
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Why do we need an RLCatalyst Research Gateway?
Working in close partnership with AWS Scientific Research teams we have created a solution that helps consume AWS Cloud Assets for Research with a Self Service Portal easily integrated into existing AWS customer accounts and extending security, budget management and data access with 1-Click AWS Service Catalog assets. Universities and Research Institutions can adopt this solution with minimal upfront investments and user training built on Open Source platforms with enterprise support options. Relevance Lab's RLCatalyst Research Gateway on AWS acts as a bridge providing seamless & secure interaction for personas, access to programs & budgets with ability to consume and manage lifecycle of research related computational and data resources. 
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People

Specialized group of Researchers, Principal Investigators collaborating across organizations, disciplines and countries with open collaboration needs.

Programs

Specialized research programs, funding, grants, governance, reporting, publishing outcomes etc into specialized areas like health, environment, space, earth etc.

Resources

High Performance Computing resources, large data for studies, analytics models, data security & privacy, sharing & collaboration, Identity & Access Management with connectivity to Open Data sources.

Key Features of the Solution
RL Catalyst Research Gateway is a self-service Cloud portal solution allowing researchers to focus on scientific outcomes and making the process of accessing infrastructure, applications and data in a frictionless manner. The solution can be rapidly deployed to meet specific requirements of universities and research institutions to get started using existing Cloud accounts. The portal provides a rich list of features tailor made for the research community.

  • Setting up projects, service catalogs, budgets and researchers.

  • Publish & maintain service catalogs of AWS services.

  • View Study data from private and public sources and use that for building analytics models leveraging AI/ML tools.

  • Easy launch and intelligent interaction with AWS services.

  • Budget tracking & cost optimization of launched AWS services.

  • Deployment and provisioning of launched AWS services within a well-architected and secure AWS environment.

Getting Started
There are simple ways to get started.

  • Get an Organization created in our Hosted AWS Cloud RLCatalyst Research Gateway.

  • Setup your AWS Account and sync up your standard AWS Service Catalog Items (dynamic 1-Click sync allowed), configure Budget and enable Researchers for Projects.

  • Researchers can log-in and order any standard AWS Asset (EC2, Sagemaker, S3, Workspace etc) with 1-Click and start doing their Research with complete visibility on active products, budget consumption and ability to manage work from single console.

  • Principal Investigators can have a close view on budget governance and project tracking with secure and simple self service workflows.

Entire setup can be completed quickly with minimum training and an elegant user experience. The solution can be integrated with existing IT Governance practices saving a lot of manual work and effective tracking.
SaaS Small
1-10 Users
$200 Per Month
SaaS Medium
11-25 Users
$500 Per Month
SaaS Large
Unlimited Users
$1000 Per Month
Enterprise
Self-Hosting with Customisation
$10,000 Annually
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Key Screenshots of Research Gateway
Summary
For any university or research institution looking for an easy cloud based solution to move in-house scientific research process to a mature platform RLCatalyst Research Gateway is a great fit. The core solution is offered in two flexible models - Hosted Option (SAAS) or customer self-managed deployment (in their AWS Instance). The solution is built on an Open Source platform with enterprise support options available that help avoid proprietary solution lock-in. Customers looking for standard features usually prefer the Hosted Option. Others requiring customisation and integration with existing systems, unique security and data privacy needs prefer a self-managed option.
To learn more about RLCatalyst Research Gateway refer to following additional content.
To discuss your scientific research requirements and evaluate an option to try the solution on AWS please provide your contact in the form below.

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