Data Science Training Camp at Woods Hole Oceanographic Institution: Syllabus and slide presentations in 2020

Key Info
URL - the landing page for the learning resource: 
https://hdl.handle.net/1912/26103
Description - a brief synopsis, abstract or summary of what the learning resource is about: 

With data and software increasingly recognized as scholarly research products, and aiming towards open science and reproducibility, it is imperative for today's oceanographers to learn foundational practices and skills for data management and research computing, as well as practices specific to the ocean sciences. This educational package was developed as a data science training camp for graduate students and professionals in the ocean sciences and implemented at the Woods Hole Oceanographic Institution (WHOI) in 2019 and 2020. Here we provide materials for the 2020 camp.  Contents of this package include the syllabus and slide presentations for each of the four modules:
1 "Good enough practices in scientific computing,"
2 Data management,
3 Software development and research computing,
and 4 Best practices in the ocean sciences.
The 3rd module is split into two parts. We also include a poster presented at the 2020 Ocean Science Meeting, which has some results from pre- and post-surveys.
 

Authoring Person(s) Name: 
Stace E. Beaulieu
Lisa Raymond
Audrey Mickle
Joe Futrelle
Nick Symmonds
Roberta Mazzoli
Rich Brey
Danie Kinkade
Shannon Rauch
License - link to legal statement specifying the copyright status of the learning resource: 
Creative Commons Attribution 4.0 International - CC BY 4.0
Access Cost: 
No fee
Citation - format of the preferred citation for the learning resource: 
Beaulieu, Stace E., Raymond, Lisa, Mickle, Audrey, Futrelle, Joe, Symmonds, Nick, Mazzoli, Roberta, Brey, Rich, Kinkade, Danie, Rauch, Shannon, "Data Science Training Camp at Woods Hole Oceanographic Institution: Syllabus and slide presentations in 2020", Presented at Data Science Training Camp, Woods Hole, MA, January, 22 - 23, 2020., DOI:10.1575/1912/26103, https://hdl.handle.net/1912/26103
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
Coastal data
Data citation
Data management
Data sharing
Ocean data
Open science
Programming
Scientific reproducibility
Software management
Subject Discipline - subject domain(s) toward which the learning resource is targeted: 
Physical Sciences and Mathematics: Earth Sciences
Physical Sciences and Mathematics: Environmental Sciences
Physical Sciences and Mathematics: Oceanography and Atmospheric Sciences and Meteorology
Published / Broadcast: 
Friday, August 21, 2020
Created: 
Thursday, January 23, 2020
ID - identifier that provides the means to locate the learning resource or its citation: 
10.1575/1912/26103
Type - namespace prefix for the citable locator, if any: 
DOI
Publisher - organization credited with publishing or broadcasting the learning resource: 
Woods Hole Scientific Community (WHOS)
Media Type - designation of the form in which the content of the learning resource is represented, e.g., moving image: 
Presentation - representation of the particular way in which an author shows, describes or explains one or more concepts, e.g., a set of Powerpoint slides.
Contributor Organization(s): 
Name: 
Woods Hole Oceanographic Institution (WHOI)
Type: 
Funding and sponsorship
Name: 
National Science Foundation (NSF)
Type: 
Funding and sponsorship
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: 
Data professional
Early-career research scientist
Graduate student
Librarian
Mid-career research scientist
Intended time to complete - approximate amount of time the average student will take to complete the learning resource: 
More than 1 hour (but less than 1 day)