OceanTeacher Global Academy

This free training course is suitable for anyone responsible for collecting or managing marine environmental data within Cefas. Familiarity with different marine data types, and how data is acquired and used, would be helpful but not essential. Prior knowledge or practical experience of data management is not required.

This course will provide a comprehensive introduction for the management and archive of marine biological data, including the guiding principles of biological data management and typical responsibilities for data managers. Several types of biological data will be tackled, including observational data, image-derived data and omics data and how these data can be formatted, standardized and quality controlled before being submitted to wider regional, national and international initiatives. Watch the video below for a brief overview and introduction.

Find all the information on how to enroll in this course on OceanExpert: https://oceanexpert.org/event/4213

This course will provide a comprehensive introduction for the management and archive of marine biological data, including the guiding principles of biological data management and typical responsibilities for data managers. Several types of biological data will be tackled, including observational data, image-derived data and omics data and how these data can be formatted, standardized and quality controlled before being submitted to wider regional, national and international initiatives. Watch the video below for a brief overview and introduction.

Find all the information on how to enroll in this course on OceanExpert: 

Given the development of new tools in studying the ocean in more detail and on larger scales, early-career ocean professionals, students and other oceanographers need programming skills for effective data management and analysis.  This course serves as an introduction to the Python programming language and software environment, enabling participants to process, analyze and visualize data more robustly. It is specially designed for early career ocean professionals who are beginners in Python programming, and who aim to explore different ocean datasets in their research. The training will utilize relevant oceanographic datasets, including physical, chemical and biological data, as well as fisheries datasets. This approach makes it easier to relate to, understand and apply concepts covered in the course.

Fishing vessel traffic data derived from Automatic Identification System (AIS) has become an essential component for building fisheries intelligence.  Enforce and related fisheries management strategies rely on such information to curb illegal fishing, plan and implement policies for the sustainability of marine living resources. 

Fisheries managers and enforcers require specialized skills to processes the large volume of positional, navigational and voyage related information embedded in AIS data.  Open-source programming software such as Python has lots of third-party modules for building packages and functions.  This makes Python an asset for the creation of customized data processing, analyses and visualization to support in making informed decisions in the management of natural resources.   

This training course will provide participants an understanding of the movement of fishing vessels and skills in processing AIS data.

Summary

Global change requires studying the ocean in more detail and at longer and larger scales. Capacity development and training on standard survey techniques and the use of simple sensors has been identified as a tool to enhance ocean observation. This course serves as an introduction to oceanographic survey techniques and data processing. It is designed for Early Career Ocean Professionals (ECOPs), students, and other oceanographers who intend to pursue oceanography and marine sciences. Relevant oceanographic (physical, chemical, and biological) datasets will collected and used during the training, making it easy to relate, understand, and apply the course concept.

Venue: AquaBioTech Group, Mosta, Malta

Learning outcomes

By the end of the course, the learners are expected to:

• Be familiar with oceanographic survey techniques.
• Understand how to use simple data collection tools and sensors.
• Be familiar with measurement of temperature, salinity, turbidity, depth oxygen and chlorophyll.
• Produce meaningful descriptive statistics and informative graphs from raw data.
• Results interpretation and discussion for scientific communication and writing.

Course contents

The course will be divided into 4 modules:

Module 1: Field sampling techniques for basic coastal oceanographic parameters

• Introduction to oceanographic parameters temperature, salinity, turbidity, depth oxygen and chlorophyll.
• Preparing a field work checklist,
• Safety measures during field work
• Calibration, and deploying of sensors and equipment
• Field surveys

Module 2: Data visualization and management

• Data retrieval
• Data entry
• Data visualization in R software using ggplot package
• Simple analysis using R
• Data management: storage, sharing and repository

Module 3: Basics of scientific writing

• Language and structure
• Graphics and visuals
• Citation and referencing
• Plagiarism

Module 4: Basics of science communication and outreach

• Language and sentence structure in science communication
• PowerPoint Presentation
• Visuals for infographics
• Policy briefs

Target audience

ECOPs who are enrolled in a Bachelor’s or Master’s degree, or have completed their Masters Degree and intend to use this knowledge in their academic or research related work. No prior R knowledge will be required, but knowledge on basics of oceanography is desired.  The current course is specifically targeting ECOPs from and/or based in the Mediterranean region (from Southern Europe, Northern Africa and Western Middle East).

Language of instruction: English

Moderators and Instructors

Ines Boujmil – Aqua Biotech Group

Dr. Anabel von Jackwoski - Stockholm University

Mr. Gabriel Akoko Juma – Alfred Wegener Institute, Germany

Organizers

This course is being organized with the support of the Early Career Ocean Professionals Programme, Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Stockholm University, Aqua Biotech Group, International Ocean Institute, Jean Monnet Centre of Excellence on Sustainable Blue Economy and UNESCO-IOC Ocean Teacher Global Academy.

NOTE: The first edition of the course (19-23 April 2021) is full.

This free training course is suitable for anyone responsible for collecting or managing marine environmental data in the public sector, industry or for education or research. Familiarity with different marine data types, and how data is acquired and used, would be helpful but not essential. Prior knowledge or practical experience of data management is not required. The course can be taken as a whole, or attendees can select modules according to two streams: Governance; Practical MEDIN.

This free online training course is suitable for anyone responsible for collecting or managing marine environmental data in the public sector, industry or for education or research. Familiarity with different marine data types, and how data is acquired and used, would be helpful but not essential. Prior knowledge or practical experience of data management is not required. The course can be taken as a whole, or attendees can select modules according to two streams: Governance; Practical MEDIN.

This free online training course is suitable for anyone responsible for collecting or managing marine environmental data in the public sector, industry or for education or research. Familiarity with different marine data types, and how data is acquired and used, would be helpful but not essential. Prior knowledge or practical experience of data management is not required. The course can be taken as a whole, or attendees can select modules according to two streams: Governance; Practical MEDIN.

This free online training course is suitable for anyone responsible for collecting or managing marine environmental data in the public sector, industry or for education or research. Familiarity with different marine data types, and how data is acquired and used, would be helpful but not essential. Prior knowledge or practical experience of data management is not required. The course can be taken as a whole, or attendees can select modules according to two streams: Governance; Practical MEDIN.

This free training course is suitable for anyone responsible for collecting or managing marine environmental data in the public sector, industry or for education or research. Familiarity with different marine data types, and how data is acquired and used, would be helpful but not essential. Prior knowledge or practical experience of data management is not required. The course can be taken as a whole, or attendees can select modules according to two streams: Governance; Practical MEDIN.

This free online training course is suitable for anyone responsible for collecting or managing marine environmental data in the public sector, industry or for education or research. Familiarity with different marine data types, and how data is acquired and used, would be helpful but not essential. Prior knowledge or practical experience of data management is not required. The course can be taken as a whole, or attendees can select modules according to two streams: Governance; Practical MEDIN.

NOTE: This is edition September 2021

This free online training course is suitable for anyone responsible for collecting or managing marine environmental data in the public sector, industry or for education or research. Familiarity with different marine data types, and how data is acquired and used, would be helpful but not essential. Prior knowledge or practical experience of data management is not required. The course can be taken as a whole, or attendees can select modules according to two streams: Governance; Practical MEDIN.

This free online training course is suitable for anyone responsible for collecting or managing marine environmental data in the public sector, industry or for education or research. Familiarity with different marine data types, and how data is acquired and used, would be helpful but not essential. Prior knowledge or practical experience of data management is not required. The course can be taken as a whole, or attendees can select modules according to two streams: Governance; Practical MEDIN.