Data Management

Courses tagged with "Data Management"

This course provides an overview of regional/international marine observation, application and quality control of CTDs (Conductivity, Temperature, and Depth) and their measurements. It will provide an opportunity for participants to exchange the research progress on regional marine observation, and to learn the quality control procedures of CTDs to improve the in-situ oceanographic measurements.

Category: 2019

This course will provide knowledge and hands-on experience for the data, satellites and instrumentation, access and formats, tools and software for operational activities. A pre-course phase of the training will provide an essential overview of data, products and tools used to monitor the ocean and will focus on preparation for the classroom phase where students will work on a short project to learn more about the data and its applications.

Category: 2019

This course will focus on integrated coastal zone management, in the sense that it needs to take on board the ecological, environmental, social and economic aspects of managing a coastal area or zone. The course provides an overview and hands approach on GIS applications necessary towards integrated coastal zone management including the data acquisition, processing, analysis and interpretation of spatial data. Participants will develop and build their own case study and make a short presentation at the end of the training course.

Category: 2019

O curso fornece uma introdução ao fenómeno das marés (elevação e correntes) e a sua importância para a ecologia e desenvolvimento costeiros, operações de pesca, gestão portuária, desportos náuticos e outros serviços marítimos e geração de energia natural a partir do mar. O curso incluirá uma introdução teórica sobre as forças geradoras de marés e seus constituintes, equipamentos usados ​​para a medição de marés, aquisição de dados, processamento, análise e interpretação para diferentes aplicações.

Os participantes ganharão conhecimentos sobre análise e previsão de marés usando o programa t-tide, e serão incentivados a usar dados de mares das suas instituições e/ou países de origem e processá-los para as suas necessidades específicas. Os participantes desenvolverão projetos individuais ou em grupo para apresentação no final do curso.

Category: 2019

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.

Category: 2018

Geospatial science provides vital information for the sustainable planning of the use of the coastal resources. This course provides an overview of GIS applications pertaining to coastal mapping. It will provide the basic GIS mapping techniques on coastal erosion, mangrove and coral reef using open source GIS tools. The course also includes data acquisition, processing, analysis and interpretation of coastal spatial data. In addition, extensive hands on sessions will be conducted to use tools for preparation of thematic base maps for coastal monitoring.

Category: 2018

This course provides an overview of requirements for organizing a Research Cruise within a project and/or submitting a request for ship time. The course takes place mainly in a classroom but includes a visit to a Marine station and a research vessel, where participants will be introduced to sampling equipment and marine research infrastructure used for onboard research, including demonstrations of the use and maintenance of marine sampling equipment, oceanographic (biological, chemical and physical data) sampling, data collection and data management. 

Category: 2018

Data visualization is the science of describing the significance of data by placing it in a visual context. In the current scenario it is very useful for dealing with marine met data as patterns, trends and correlations that might go undetected in text-based data can be exposed and recognized easier with data visualization software.

The current course will demonstrate the use of open source software FERRET for generation of NetCDF data and visualize various types of plots, save and reuse them at a later stage. The course is designed to be a mix of both practical and theoretical sessions.

Aims and Objectives

  • Provide an exposure to Data Visualization using FERRET.
  • Generation of scripts to visualize various types of data sets (1D, 2D, 3D etc).
  • Perform data analysis, generate added value products.
Category: 2018

Descripción general

El curso ofrece una introducción para los gestores de datos marinos aplicando el Sistema de Información Geográfica (SIG) en el medio marino utilizando el software ArcGIS. Esto incluye la adquisición, procesamiento, análisis e interpretación de los datos y en la creación de productos para apoyar los programas marinos y costeros.

Metas y Objetivos

Proporcionar conceptos, reconocer el funcionamiento y operación del Sistema de Información Geográfica (SIG) y aplicaciones para el medio ambiente marino y costero.

Category: 2018

The 1st SeaDataCloud training workshop will be held at UNESCO/IOC Project Office for IODE, Oostende, Belgium.

Two similar sessions of 3 days are scheduled on:

  • 20-21-22 June 2018
  • 25-26-27 June 2018
Category: 2018

Overview

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.

Category: 2018

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
Category: 2017
Category: 2017

Overview

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.

class

Objectives

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

Assessment

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.

Category: 2017
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.

Category: 2017

This course provides an overview and hands on GIS applications pertaining to coastal zone using ArcGIS software. This comprises the data acquisition, processing, analysis and interpretation of spatial data. The applications of this course are aimed at producing inputs useful for the coastal zone management.

Aims and Objectives
•To provide an introduction to GIS for marine applications
•Utilization of open source spatial data
•To provide hands on GIS applications pertaining to the coastal zone

Learning Outcomes
•Knowledge and understanding of GIS, spatial data, raster and vector models
•Core tasks involved in the GIS analysis process including data acquisition, manipulation and analysis, and presentation and output
•Core functionality of ArcMap, Arc Catalogue and Arc Toolbox
•Creating and editing spatial data
•Awareness of coastal GIS data and applications

Category: 2017

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.

Category: 2017

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.

Objetivos
- 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)

Tópicos
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)

Category: 2017