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.

The training course provides an introduction to (genetic) data management and publication through the Global Genome Biodiversity Network (GGBN), as well as an introduction to the GGBN and the use of its data portal, the data standards and several case studies from Latin American institutions that have published data from different types of collections through the GGBN. The course purpose is to give the necessary foundations to professionals from Latin America to use the GGBN data infrastructure for publishing and giving visibility to the information they preserve.

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.

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 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 2 week-long module on Ocean Data Management is part of the Nippon Foundation-POGO Centre of Excellence (NF-POGO CofE) and hosted by AWI (cohort 2021). This module is part of an intensive training course for young professionals at the post-graduate level, ten months in duration, with an intake of ten trainees per year. The course is sponsored by the Nippon Foundation and hosted by the Alfred Wegener Institute for Polar and Marine Research.

This module provides a comprehensive introduction to a wide variety of earth science datasets, formats and analysis software. Students will learn and practice methods using a common ocean area, and they are expected to create a personal project of data products for a marine region of their own choosing. Personal projects are presented by the students at the end of the course.

This 2 week-long module on Ocean Data Management is part of the Nippon Foundation-POGO Centre of Excellence (NF-POGO CofE) and hosted by AWI (cohort 2022). This module is part of an intensive training course for young professionals at the post-graduate level, ten months in duration, with an intake of ten trainees per year. The course is sponsored by the Nippon Foundation and hosted by the Alfred Wegener Institute for Polar and Marine Research.

This module provides a comprehensive introduction to a wide variety of earth science datasets, formats and analysis software. Students will learn and practice methods using a common ocean area, and they are expected to create a personal project of data products for a marine region of their own choosing. Personal projects are presented by the students at the end of the course.

This training course will focus on raising the awareness for the need for Quality Assurance and Quality Control on Marine Ecosystem-based Management. Participants will be introduced to up-to-date best practices and standards as well as the quality assurance and quality control on marine ecosystem observation, and marine instrument measurement testing, specifically on the four important sectors of the whole process of QA and QC, namely sensors, laboratory, data processing, and product application. The course will use case studies relevant for the Western Pacific.