Clean your taxonomy data with the taxonomyCleanr R package

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

Taxonomic data can be messy and challenging to work with. Incorrect spelling, the use of common names, unaccepted names, and synonyms, contribute to ambiguity in what a taxon actually is. The taxonomyCleanr R package helps you resolve taxonomic data to a taxonomic authority, get accepted names and taxonomic serial numbers, as well as create metadata for your taxa in the Ecological Metadata Language (EML) format.

Authoring Person(s) Name: 
Colin Smith
Authoring Organization(s) Name: 
Environmental Data Initiative (EDI)
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: 
Cyberinfrastructure to enable FAIR data principles
Data cleaning
Data handling
Data quality - Core Trustworthy Data Repositories Requirements
Findable data - FAIR Data Principle
Re-usable data - FAIR Data Principle
Taxonomic data
Version control
Subject Discipline - subject domain(s) toward which the learning resource is targeted: 
Physical Sciences and Mathematics: Environmental Sciences
Published / Broadcast: 
Thursday, January 18, 2018
Publisher - organization credited with publishing or broadcasting the learning resource: 
Environmental Data Initiative (EDI)
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: 
Instruction - detailed information about aspects or processes related to data management or data skills.
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
Software engineer
Mid-career research scientist
Early-career research scientist
Research faculty
Graduate student
Data manager
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: 
Findable
Re-usable