All Learning Resources
GeoBuilder for Exploring Geospatial Data
A step-by-step tutorial for GeoBuilder. The GeoBuilder tool provides a wizard type interface that guides users through several steps for loading, selecting, configuring and analyzing geo-referenced tabular data. As a result, the data is presented on an Open Street Map with customized annotation, station/site popup, and dynamic filtering and plotting. The tool can be used in two ways: first, an end user can use it to dynamically load and explore a csv file of interest. Second, a data owner can use it to build a customized view of the data he wants to share, save the configuration, and publish the data, configuration, and viewer as a new “tool” specifically for his data. With this, any scientist can easily develop an interactive web-enabled GIS interface to share their data within minutes, as compared to the past where they needed to hire a web developer and spent months to get the same done.
Note that My Geo Hub registration is required to access the GeoBuilder tool.
GeoBuilder - How to Share My Session
A brief tutorial that shows how to share a GeoBuilder session. The GeoBuilder tool provides a wizard type interface that guides users through several steps for loading, selecting, configuring and analyzing geo-referenced tabular data. To use the accompanying My Geo Hub tutorial exercises, go to https://mygeohub.org/resources/1219. Note that the number before each step is the time on the YouTube video where it shows how each step is done. Also, note that the video does not contain audio content.
For more information about GeoBuilder, go to https://mygeohub.org/resources/geobuilder.
Introduction to Lidar
This self-paced, online training introduces several fundamental concepts of lidar and demonstrates how high-accuracy lidar-derived elevation data support natural resource and emergency management applications in the coastal zone.
- Define lidar
- Select different types of elevation data for specific coastal applications
- Describe how lidar are collected
- Identify the important characteristics of lidar data
- Distinguish between different lidar data products
- Recognize aspects of data quality that impact data usability
- Locate sources of lidar data
- Discover additional information and additional educational resources
Note: requires Flash Plugin.
Introduction to Lidar
This course provides an overview of Lidar technology; data collection workflow; data products formats, and metadata; Lidar and vegetation; QA/QC, artifacts, issues to keep in mind; and DEM generation from Lidar point cloud data.
The focus of this workshop is on working with genomics data and data management and analysis for genomics research. It covers data management and analysis for genomics research including best practices for the organization of bioinformatics projects and data, use of command line utilities, use of command line tools to analyze sequence quality and perform variant calling, and connecting to and using cloud computing.
- Project organization and management
- Introduction to the command line
- Data wrangling and processing
- Introduction to cloud computing for genomics
- Data analysis and visualization in R *beta*
This workshop uses a tabular ecology dataset from the Portal Project Teaching Database and teaches data cleaning, management, analysis, and visualization. There are no pre-requisites, and the materials assume no prior knowledge about the tools. We use a single dataset throughout the workshop to model the data management and analysis workflow that a researcher would use.
- Data Organization in Spreadsheets
- Data Cleaning with OpenRefine
- Data Management with SQL
- Data Analysis and Visualization in R
- Data Analysis and Visualization in Python
The Ecology workshop can be taught using R or Python as the base language.
Portal Project Teaching Dataset: the Portal Project Teaching Database is a simplified version of the Portal Project Database designed for teaching. It provides a real-world example of life-history, population, and ecological data, with sufficient complexity to teach many aspects of data analysis and management, but with many complexities removed to allow students to focus on the core ideas and skills being taught.
The Agriculture Open Data Package
he third GODAN Capacity Development Working Group webinar, supported by GODAN Action, focused on the Agriculture Open Data Package (AgPack).
In 2016 GODAN, ODI, the Open Data Charter and OD4D developed the Agricultural Open Data Package (AgPack) to help governments to realize impact with open data in the agriculture sector and food security. Details at http://www.agpack.info
During the webinar the speakers outlined examples and use cases of governments using open data in support of their agricultural sector and food security. Also, the different roles a government can pick up to facilitate such a development, how open data can support government policy objectives on agriculture and food security.
Publishing Open Data from an Organisational Point of View
The second GODAN Capacity Building webinar was on “Publishing open data from an organisational point of view” and was lead by GODAN Action colleagues from the Open Data Institute in London.
This webinar focused on key aspects:
- Why publish open data
- What benefit can publishing open data bring
- Why licenses are the most important aspect of publishing open data
- How to start with publishing open data
GODAN Working Group on Capacity Development
The first webinar organized by the GODAN (Global Open Data for Agriculture & Nutrition) Working Group on Capacity Development gave an overview of GODAN, its objectives and how people can get involved. The webinar also provided information on the purpose of the GODAN Working Group on Capacity Development and explained how to join and get involved in the activities.
GODAN Webinar Series
A series of webinars organised by the GODAN Working Group on Capacity Development in collaboration with CTA. The Global Open Data for Agriculture and Nutrition (GODAN) supports the proactive sharing of open data to make information about agriculture and nutrition available, accessible and usable to deal with the urgent challenge of ensuring world food security. A core principle behind GODAN is that a solution to Zero Hunger lies within existing, but often unavailable, agriculture and nutrition data. At the GODAN Summit in September 2016, GODAN launched a new Working Group on Capacity Development. More info here: http://www.godan.info/working-groups/capacity-development
Curriculum on Open Data and Research Data Management in Agriculture and Nutrition
This paper details the curriculum for the Open Data Management in Agriculture and Nutrition e-learning course, including background to the course, course design, target audiences, and lesson objectives and outcomes.
This free online course aims to strengthen the capacity of data producers and data consumers to manage and use open data in agriculture and nutrition. One of the main learning objectives is for the course to be used widely within agricultural and nutrition knowledge networks, in different institutions. The course also aims to raise awareness of different types of data formats and uses, and to highlight how important it is for data to be reliable, accessible and transparent.
The course is delivered through Moodle e-learning platform. Course units include:
Unit 1: Open data principles
Unit 2: Using open data
Unit 3: Making data open
Unit 4: Sharing open data
Unit 5: IPR and Licensing
By the end of the course, participants will be able to:
- Understand the principles and benefits of open data
- Understand ethics and responsible use of data
- Identify the steps to advocate for open data policies
- Understand how and where to find open data
- Apply techniques to data analysis and visualisation
- Recognise the necessary steps to set up an open data repository
- Define the FAIR data principles
- Understand the basics of copyright and database rights
- Apply open licenses to data
The course is open to infomediaries which includes ICT workers, technologist - journalists, communication officers, librarians and extensionists; policy makers, administrators and project managers, and researchers, academics and scientists working in the area of agriculture, nutrition, weather and climate, and land data.