Marine Data Management Courses organised in 2017

This course provides an in depth overview of the application of Geographic Information Systems (GIS) to the marine environment using ArcGIS.

Aims and Objectives:

  • Provide an introduction to GIS for marine applications
  • Focus on some publicly available marine datasets
  • Show the potential applications of GIS for the marine environment

Learning Outcomes:

  • Knowledge and understanding of GIS, spatial data, raster and vector models
  • Core tasks involved in the GIS analysis process including data acquisition, management, manipulation and analysis, and presentation and output
  • Creating and editing spatial data
  • Appreciation of coastal and marine GIS data applications


The IODE maintains a global network of National Oceanographic Data Centres (NODC) and Associate Data Units (ADU) responsible for the collection, quality control, archive and online publication of many millions of ocean observations. The concept of quality management has become increasingly significant for these centres to meet national and international competency standards for delivery of data products and services. The IODE Quality Management Framework encourages NODCs and ADUs to implement a quality management system which will lead to the accreditation.



This training workshop provides an introduction for NODCs and ADUs involved in the development, implementation and management of a Quality Management System which will assist in the adoption of comprehensive management practices and increased confidence in the quality of their data, products and services. The objectives are to:

  • Introduce the IODE Quality Management Framework
  • Introduce the ISO 9000 series of standards
  • Provide a description of a Quality Management System
  • Describe the importance of quality management for oceanographic data 
  • Describe the accreditation process for NODCs and ADUs

Learning Outcomes

By the end of the course, learners should be able to:

  • Understand the fundamental requirements of the ISO 9001:2015 international standard
  • Identify situations and processes within their own organisations to be included in the quality management system
  • Understand the requirements of the IODE accreditation process


This is a practical workshop. The participants will work in teams to complete exercises on each topic to reinforce learning and understanding of the requirements for a quality management system and the IODE accreditation for NODCs and ADUs.

18 – 22 September 2017
Plymouth Marine Laboratory, UK

The course will deliver training in ocean-colour data and their applications in climate studies. Remote sensing experts from the Plymouth Marine Laboratory (PML) will guide students through a combination of lectures and computer-based exercises covering the following topics:

  1. Introduction to ocean colour;
  2. Modelling primary production;
  3. Ocean colour applications for ecosystem state assessment;
  4. Climate impacts and feedbacks;
  5. Ocean colour in data assimilation;
  6. Dataset archive, management, visualisation and analysis.

Students will also have opportunity of informal discussion with instructors outside of the formal lectures. A visit of the NERC Earth Observation Data Acquisition and Analysis Service (NEODAAS) that is hosted at PML will be provided.

This course is specifically developed for the OTGA RTC Senegal and is an updated version of a previous version of the course.

This course provides an in depth overview of the application of Geographic Information Systems (GIS) mapping and analyses to the marine environment using ArcGIS 9.x. The course will focus on commonly used coastal and marine datasets to show the potential applications of GIS within the marine sector.

The course is in French.

Descrição geral
O curso providencia uma introdução abrangente a gestão de dados oceanográficos. Os participantes irão aprender e praticar métodos de manuseamento de dados oceanográficos usando banco e formato de dados comuns, cobrindo uma variedade de ambientes oceânicos, desde o mar-alto, plataforma costeira até aos estuários. Serão usados os programas “Ocean Data View” e Matlab para aceder, processar, analisar e interpretar os dados. Espera-se que os participantes possam desenvolver projetos individuais a partir de dados oceanográficos de uma região oceânica do seu interesse. Para o efeito os participantes são encorajados a trazerem os seus dados para a formação. Os projetos individuais serão apresentados pelos participantes numa sessão a ter lugar no último dia de formação.

- Providenciar uma introdução aos dados e à problemática de gestão de dados oceanográficos
- Providenciar uma introdução ao programa Ocean Data View
- Providenciar uma introdução ao programa Matlab para o processamento de dados oceanográficos
- Acesso a dados oceanográficos disponíveis em bases de dados abertas (ex. WOCE, ARGO)

Técnicas de colheita de dados oceanográficos (CTD, ADCP, marégrafos, ondímetros, correntómetros de ancoragens, boias de deriva)
Gestão de dados oceanográficos (pratica, copia e arquivo, meta dados, dados de acesso livre)
Programas e dados oceanográficos de acesso livre.
Introdução ao Ocean Data View (introdução de dados, batimetria, linhas de contorno, traçar diagramas e perfis).
Introdução a Matlab (introdução de dados, batimetria, linhas de contorno, traçar diagramas e perfis)

Público objetivo
• Gestores de dados marinhos
• Staff de NODCs e/ou AUDs
• oceanógrafos e biólogos marinhos (incluindo estudantes ao nível do Ensino Superior)

This course will demonstrate the data resources available from operational program. The focus will be on operational activities, how to download data and use software to visualize. It will be a mix of practical and theoretical.

Aims and Objectives
- To provide an introduction to Operational Oceanography.
- Discovery and Use of Operational Ocean Data Products and Services.
- Hands on for Visualizing the model and in situ derived data products.

Learning outcomes
- Knowledge and understanding of Operational Oceanography.
- Tasks involved in Operational Analysis and Forecast methods.
- Oceanographic Data sources, Quality Control/Quality Assurance, monitoring systems and methods.
- Tools for visualizing the operational ocean data products.

Target audiences include, but not limited to the following:
- Ocean and coastal data managers.
- Researchers intending to use data products for scientific analysis.
- Research scholars at various universities.