Webinar: National Data Service (NDS) Labs Workbench

Key Info
Description - a brief synopsis, abstract or summary of what the learning resource is about: 

The growing size and complexity of high-value scientific datasets are pushing the boundaries of traditional models of data access and discovery. Many large datasets are only accessible through the systems on which they were created or require specialized software or computational resources for re-use. In response to this growing need, the National Data Service (NDS) consortium is developing the Labs Workbench platform, a scalable, web-based system intended to support turn-key deployment of encapsulated data management and analysis tools to support exploratory analysis and development on cloud resources that are physically "near" the data and associated high-performance computing (HPC) systems.  The Labs Workbench may complement existing science gateways by enabling exploratory analysis of data and the ability for users to deploy and share their own tools. The Labs Workbench platform has also been used to support a variety training and workshop environments.

This webinar includes a demonstration of the Labs Workbench platform and a discussion of several key use cases. A presentation of findings from the recent Workshop on Container Based Analysis Environments for Research Data Access and Computing further highlight compatibilities between science gateways and interactive analysis platforms such as Labs Workbench.
 

Authoring Person(s) Name: 
Craig Willis
Access Cost: 
No fee
Primary language(s) in which the learning resource was originally published or made available: 
English
More info about
Keywords - short phrases describing what the learning resource is about: 
Accessible data - FAIR Data Principle
Big data
Cloud-based data
Data access
Data analysis
Data reuse - Core Trustworthy Data Repositories Requirements
Interoperable data - FAIR Data Principle
Re-usable data - FAIR Data Principle
Technical infrastructure - Core Trustworthy Data Repositories Requirements
Published / Broadcast: 
Wednesday, December 13, 2017
Publisher - organization credited with publishing or broadcasting the learning resource: 
Science Gateway Community Institute (SGCI)
Media Type - designation of the form in which the content of the learning resource is represented, e.g., moving image: 
Event - time-based happening that is portrayed or covered by the learning resource, e.g., a webinar.
Educational Info
Purpose - primary educational reason for which the learning resource was created: 
Professional Development - increasing knowledge and capabilities related to managing the data produced, used or re-used, curated and/or archived.
Learning Resource Type - category of the learning resource from the point of view of a professional educator: 
Demonstration / Simulation - imitation or modeling of a real-world process.
Target Audience - intended audience for which the learning resource was created: 
Data policymaker
Research scientist
Research faculty
Data manager
Repository manager
Librarian
Intended time to complete - approximate amount of time the average student will take to complete the learning resource: 
Up to 1 hour
Framework - A community-based organization plan or set of steps for education or training: 
FAIR Data Principles
Framework Node: FAIR: 
Accessible
Interoperable
Re-usable