Metadata  is  structured  information  that  describes,  explains, locates,  or  otherwise  makes  it easier to retrieve, use, or manage an information resource. Metadata is  often  called  data  about  data  or information about information. (National Information Standards Organization, 2004)

Courses tagged with "metadata"

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 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

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

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


This course introduces the concept, development, applications and evaluation of metadata. Through a combination of practical exercises, participants will critically examine metadata issues, standards, and best practices, and will evaluate the role of metadata in Ocean data management.


  • To introduce Marine Data Managers to the concept of metadata
  • To introduce metadata standards used to describe marine data
  • To highlight the importance of metadata for your organization
  • To provide practical experience in writing good metadata.

Learning Outcomes

  • Understand the principles, concepts and types of metadata
  • Explore various metadata standards
  • Understand different issues in the applications of metadata standards
  • Gain experience in applying selected metadata standards to the creation of   metadata records
  • Practical  experience in use of an open source catalogue application to manage metadata
  • Implement metadata decisions in ocean data project

Class photo

Category: 2016

Libraries traditionally have formed a preservation safety net for materials that will be transmitted to subsequent generations of information seekers and scholars. For paper-based documents, provision of adequate storage conditions was the best means to help ensure that materials would remain readable far into the future. With the advent of digital technology, many knowledge creators do their work on computers. Some of that knowledge may be printed on paper, but much of it, particularly databases, geographic information, scientific data sets, and Web sites, exists only in electronic form. At the same time, traditional forms of publications have changed significantly and, as a result, create new challenges. For example, publishers of electronic journals license their content to libraries, but libraries do not own that content and they may not have rights to capture digital content to preserve it. Who will preserve these materials?

Which organizations or systems will provide the needed preservation safety net for electronic materials?
What tools, technologies and standards are available to preserve information in digital format?
What are the best practices that can help us to address long-term digital archiving for a range of file formats and media types?

This course will examine these questions, as well as provide an introduction to the metadata needed for a digital environment, terminology, cross walking, harvesting, interoperability and metadata frequently used to describe digital collections. Practical hands-on exercises will be included. Through a combination of lecture, case studies and interactive sessions, students will learn about the long-term preservation requirements of digital assets.

OBIS México

OBIS Training Course (2018) - INIOAS, Iran

Category: OBIS 2018

MBON Pole to Pole of the Americas: using OBIS as data sharing and integration platform

Category: OBIS 2018

OBIS Chile

Category: OBIS 2018

Training for EMODnet Biology Partners

Category: OBIS 2018


This workshop builds on the successful partnership between the U.S. Integrated Ocean Observing System (IOOS) and the Ocean Biogeographic Information System (OBIS-USA) in coordination with IOC’s OceanTeacher Global Academy, and OBIS international to develop a community of practice around the management and analysis of marine biological data. It will provide hands-on training in a computer lab setting and is intended to educate participants on the benefits, goals, technology and process to standardize biological data (and associated physical or chemical data) and make it accessible via OBIS and IOOS, including the MBON Portal. The workshop will also expose participants to OBIS, IOOS and MBON applications for using those data.

Category: OBIS 2018


The training course Marine Species Distribution modeling covers the background knowledge on marine biogeography, and the technical aspects needed to develop Species Distribution Models. Students will be trained in the basics of statistical modeling and guided through the modeling phases: compile distribution data from open access databases (e.g. OBIS) and environmental information from publically available ecological data layers using Geographic Information Systems, make informed decisions on parameter settings and select the best methods for developing distribution models, forecast distributions under different Climate Change scenarios, validate models and incorporate results in scientific manuscripts and technical reports. The course includes theoretical lectures and hands-on exercises using predominantly case studies of marine macroalgae. Students are encouraged to bring their own datasets.

Learning Outcomes
Understand distributions of marine organism and predict shifts in response to Climate Change.
Develop skills for taking the best decisions and applying the correct statistical tools needed for Species Distribution Modeling (SDM).
Being able to discuss the results of SDM into scientific manuscripts and technical reports, and defend them to a wide audience.
Understand the strengths and limitations when applying SDM to real cases.
Recognize the importance of good practice in Species Distribution Modeling Course Topics Marine biogeographical distributions and niche modeling.
Niche concepts: what niche is being modeled? Basis of Statistical Distribution Modeling.
Definition of correlative and mechanistic SDMs.
Desired properties, modeling phases & decisions, the recipe.
Introduction to GIS and distribution data mining.
Modeling methods (e.g. Bioclim, GLM, Maxent, boosted tree regression)
Equilibrium assumption, transferability and forecasting.
How to write an article/oral presentation using SDMs.

Target Audience:
Marine researchers and postgraduate students (MSc and PhD students) with particular interest in macroalgae or benthic organisms;
NOTE: priority will be given to participants originating from Europe and / or involved in European marine research projects. UNESCO is committed to promote gender equality. Therefore, applications from women are strongly encouraged. Course Pre-requisites Basic knowledge on Ecology & Statistics Need to bring own laptop Working knowledge of English

Venue: Ostend, Belgium



Link to event:

Category: OBIS 2018
Category: OBIS 2018

OBIS Nodes Training Course (2017)

Category: OBIS 2017

The course will cover the following topics:

1. Retrieving data and metadata from of OBIS and WoRMS (web portal, web services, GIS)
2. Data Quality Control tools (OBIS Quality Control: LifeWatch QC tools and Name Matching Strategy)
3. Biogeographic and Biodiversity data and metadata standards
4. Retrieving data and metadata from AfrOBIS and AfReMAS: procedures, formats, upload data and metadata via AfrOBIS IPT
5. Open topics (based on needs assessment via application form)

Category: OBIS 2014

Research Design, Data Management & Data Communication in Marine Sciences - MOOC 2018 edition

Module 2: Data Management