Ocean Data Management for Researchers

Key Info
Description - a brief synopsis, abstract or summary of what the learning resource is about: 
This training course is aimed at researchers at the post-graduate level and provides a comprehensive introduction to a variety of marine datasets and formats and the use of software for synthesis and analysis of marine data. The importance of good research data management practices and the role of researchers will also be highlighted. Personal projects are presented by the students at the end of the course. 

To acquire Certificates of Participation, this course required an application and once approved, member login.  Guest access is available to review course slides, video presentations, exercises, class activities and supplementary materials.  

Aims and Objectives
-Provide an introduction to the use of software for synthesis and analysis of marine data
-Introduction to the FAIR Guiding Principles for scientific data management and stewardship
-Understand best practice for management and analysis of marine data
 
The learning outcomes of this course include:
-Knowledge and understanding of the importance of management of ocean data
-Experience in the use of data analysis and visualization tools
-Recognize the importance of good research data management practice
-Awareness of European based marine research projects and data repositories

Preparation 
Participants must download the latest version of ODV (5.1.5) from https://odv.awi.de/software/download/ and install the software on their laptops. If not already done, participants must register as non-commercial users before getting access to the software.
Participants also must download the course material package from https://drive.google.com/file/d/1SojaNEPE3uI5zUN2gib7SfPI8f319ILQ/view?u... unzip to the desktop.

Authoring Person(s) Name: 
Greg Reed
Lilian Krug
Claudia Delgado
Reiner Schlitzer
Jonas Mortelmans
Nathalie Tonné
Pieter Provoost
Daphnis de Pooter
Stefanie DeKeyzer
License - link to legal statement specifying the copyright status of the learning resource: 
Creative Commons Attribution-ShareAlike 4.0 International License - CC BY-SA 4.0
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: 
Data analysis
Data collection
Data lifecycle
Data management
Data management planning tools
Data stewardship
Data visualization
Data visualization tools
Marine data
Metadata
Ocean data
Research project management tools
Workflow
Subject Discipline - subject domain(s) toward which the learning resource is targeted: 
Physical Sciences and Mathematics: Oceanography and Atmospheric Sciences and Meteorology
Published / Broadcast: 
Monday, December 3, 2018
Publisher - organization credited with publishing or broadcasting the learning resource: 
Ocean Teacher Global Academy
Media Type - designation of the form in which the content of the learning resource is represented, e.g., moving image: 
Collection - a group or set of items that comprise a single learning resource, e.g., a PDF version of a slide presentation, an audio file of the presentation and a textual representation of the oral transcription of the presentation.
Contributor Organization(s): 
Name: 
Flanders-UNESCO Trust Fund (FUST)
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: 
Course - series of units and lessons used to teach the skills and knowledge required by its curriculum.
Target Audience - intended audience for which the learning resource was created: 
Data manager
Data policymaker
Early-career research scientist
Graduate student
Librarian
Mid-career research scientist
Repository manager
Research faculty
Research scientist
Technology expert group
Intended time to complete - approximate amount of time the average student will take to complete the learning resource: 
More than 1 Day (but less than 1 week)
Framework - A community-based organization plan or set of steps for education or training: 
ICSU - World Data System Training Resources Guide