Working in the R Ecosystem: Building Applications & Content for Your Gateway

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

The R programming language first appeared on the scene in the 1990's as an open source environment for statistical modeling and data analysis. Throughout the last decade, interest in the language has grown alongside researcher's abilities to collect and store larger amounts of data. Today, scientific and business decisions increasingly rely on the interpretation of this data. New libraries for processing data and communicating results are being debuted in ways that break down traditional language silos. Technologies like interactive documents, HTML based applications, and RESTful APIs have exposed capability gaps between R's interfaces for numerical analysis libraries and its built-in ability for graphical display. In this webinar, Derrick Kearney will survey several R libraries that are helping people bridge the gap between their R-based analysis and the numerous ways people are representing results today, all of which can be published on your science gateway, thus extending your research impact to others in a reproducible way.

Authoring Person(s) Name: 
Derrick Kearney
Authoring Organization(s) Name: 
RStudio
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: 
Big data
Data analysis
Data transformation
Interoperable data - FAIR Data Principle
R environment for statistical computing
Re-usable data - FAIR Data Principle
Scientific reproducibility
Statistical modeling
Published / Broadcast: 
Wednesday, May 9, 2018
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: 
Lesson - detailed description of an element of instruction in a course, [could be] contained in a unit of one or more lessons, and used by a teacher to guide class instruction. Example: presentation slides on a topic.
Target Audience - intended audience for which the learning resource was created: 
Research scientist
Mid-career research scientist
Early-career research scientist
Research faculty
Graduate student
Undergraduate student
Data professional
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: 
Interoperable
Re-usable