OceanTeacher

The course will provide comprehensive training in research data management in order to lay the foundations for a common approach for research data management amongst researchers, repositories and facilities (including libraries) that manage marine data, thereby helping to ensure that the data is accessible, standardized and maintained over time.

This course 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.

Aims and Objectives:

• Recognize the importance of good research data management practice
• Provide an introduction to the use of free software for synthesis of marine data and analyses
• Creation and use of multi-parameter marine data collections to prepare and publish standard data products
• Develop marine data and products from multiple sources using selected software programs

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 2018-19). 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.  It is conducted at AWI’s site on the offshore island of Helgoland with focus on open-ocean sciences.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.

Sustained ocean observations are essential for understanding links between physical and chemical drivers and ecosystem responses and for investigations into how long-term changes in the underlying drivers might impact on ecosystem dynamics and the services these provide. However, the management of time series is complex and many issues from scientific to financial and scoietal, need to be taken into account for time series to be sustainable in the long-term. Therefore, while many time series courses have a focus on statistical techniques needed to analyse time series,  in this course we take a holistic approach. We will introduce you to different types of time series and will show you different tools for the visualisation and exploration of your time series data (both very important for detecting time series and for deciding on the correct statistical analyses). However, we will also discuss time series in the context of the ecosystem services context and policy drivers that can have an influence on how time series are run.

Summary

Geospatial science provides vital information on the sustainable use of the coastal resource and planning. It an imperative use such techniques for managing densely populated coastal environs. This course provides an overview of GIS applications pertaining to coastal vulnerability and analysis. It will provide the basic GIS mapping techniques on storm surge vulnerability, and its socio-economic impact using open source GIS tools. 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 vulnerability due to Tsunamis, Storm surges and their impact.

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 coastal vulnerability (Storm surges) using open source GIS tools
• Generation of Coastal  Vulnerability and their socio-economic Impact map

Learning Outcomes

• Knowledge on understanding of 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
• Use of QGIS, GRASS tools and Plug-in tools
• Creating and editing spatial data
• Basic understanding of coastal and marine GIS data applications.

Lecturers

• R S Mahendra
• Prakash C Mohanty
• H Shivakumar
• Chandra Sekhar V

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

Module 3: Data Management

Research Design, Data Management & Data Communication in Marine Sciences

Module 4

Building on the success of the 2015 training course, the International Ocean Carbon Coordination Project (IOCCP) and EU BONUS INTEGRAL Project (Integrated carboN and TracE Gas monitoRing for the bALtic sea) have organized a 10-day international training course on "Instrumenting our ocean for better observation:a training course on a suite of biogeochemical sensors." The course was held on June 10-19, 2019 at the Sven Lovén Center for Marine Sciences, in Kristineberg, Sweden. This course responded to the growing demand of the global ocean observing system and the marine biogeochemistry community for expanding the correct usage and generation of information from a suite of autonomous biogeochemical sensors. 

The goal of the course was to train the new generation of marine biogeochemists in the use of a suite of biogeochemical sensors and to assure the best possible quality of the data produced. The workshop was limited to a total of 28 participants at an early career researcher  level selected through a competitive process. This intensive training course provided trainees with lectures and hands-on field and laboratory experience with sensors (deployment, interfacing, troubleshooting and calibration), and provided in-depth knowledge on data reduction and quality control as well as data management. This course also offered an overview on the use of remote sensing, modelling and intelligent data extrapolation techniques.

Based on the course proceedings, and in collaboration with the Ocean Teacher Global Academy, we have prepared an online version of this course in an attempt to meet the overwhelming demand for such training opportunities. Here we provide a comprehensive set of training materials divided into a number of topics. The course materials include video recorded lectures and/or lecture slideshows in PDF supplemented with links and references to various materials such as manuals, guides and best practices. The course is open to all and is meant to expand the impact of the sensors training beyond the initial group of 28 that we could invite to Kristineberg in June 2019. 

The course provides an introduction to the Ocean Biogeographic Information System (OBIS). This includes best practices in marine biogeographic data management, data publication, data access, data analysis and data visualisation. With the numerous datasets being generated through various projects and some old data yet to be captured in the database, this training provides an opportunity to manage this wealth of scientific knowledge.

The course provides an introduction to the Ocean Biogeographic Information System (OBIS). This includes best practices in marine biogeographic data management, data publication, data access, data analysis and data visualisation. With the numerous datasets being generated through various projects and some old data yet to be captured in the database, this training provides an opportunity to manage this wealth of scientific knowledge.

Satellite data are particularly powerful when combined with data from other sources, such as in situ measurements or geographic or socio-economic information, whilst Geographic Information Systems (GIS) are a powerful tool for bringing together different types of geo-referenced data, including satellite images.

This training course highlights the technologies used to measure Sea Surface Temperature and phytoplankton proxy data, as well as the main applications of these data such as primary production, fronts and time series variations. Participants will gain hands-on experience with image analysis software to visualize and interpret the data in different contexts. Participants will get a brief introduction to some of the ways in which data from these different sources may be visualized and brought together to give more complete information needed to support decision makers in marine management and policy development. Training will primarily be based on BILKO 3.4 and QGIS.

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

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

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.

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.

The MBON Pole to Pole effort seeks to develop a framework for the collection, use and sharing of marine biodiversity data in a coordinated, standardized manner leveraging on existing infrastructure managed by the Global Ocean Observing System (GOOS; IOC-UNESCO), the GEO Biodiversity Observation Network (GEO BON), and the Ocean Biogeographic Information System (OBIS). The MBON Pole to Pole aims to become a key resource for decision-making and management of living resource across countries in the Americas for reporting requirements under the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services (IPBES), Aichi Targets of the Convention of Biological Diversity (CBD), and the UN 2030 Agenda for Sustainable Development Goals (SDGs). 

This course a follow up of the MBON Pole to Pole of the Americas: using OBIS as data sharing and integration platform. The course will take place in Cancun, Mexico, between 2 to 5 April 2019.

• Advance already agreed field sampling protocols for rocky shores and sandy beaches;
• Manipulate tabular and spatial data already collected at their study sites for standardized data formats using Darwin Core vocabularies and quality controls;
• Develop specific vocabularies for flora and fauna of rocky shore and sandy beach measured during field surveys;
• Publish survey datasets to the Ocean Biogeographic Information System (OBIS) using tools for sharing data;
• Advance knowledge on data science tools (R, Rmarkdown, Github) to mine data, visualize and analysis, and produce reproducible research documents with interactive visualizations onto the web.

The course provides an introduction to the Ocean Biogeographic Information System (OBIS). This includes best practices in marine biogeographic data management, data publication, data access, data analysis and data visualisation.

Aims and Objectives

• Reinforce and expand the OBIS network in the South-East Asian Region
• Increase awareness on international standards and best practices related to marine biogeographic data management
• Increase the amount and quality of open access biodiversity data published through OBIS and its OBIS nodes
• Increase the use of data from OBIS for research, species conservation and area-based management applications for sustainable development

El presente curso se presenta como una oportunidad para actualizar la información acerca de los formatos y estándares que se utilizan en OBIS.

OBIS se encuentra en un trayecto de renovación y mejora de ciertos procedimientos, especialmente los que se refieren a los controles de calidad de los datos suministrados. Durante el presente curso se expondrán conceptos y procedimientos sobre: usos de la plataforma OBIS, procedimientos para organizar los datos según ciertos estándres y formatos, ¿cómo publicar datos en OBIS? y cuáles son las mejores prácticas para el aprovechamiento de los datos que se encuentran en OBIS.

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.

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.