Foundations of Research Data Management for GIS
NFDI4EarthxDRA
About This Course
This course will provide a GIS (Geographical Information Systems) based RDM (Research Data Management) curriculum, tailored to the specific issues that GIS faces. Current there are many generic RDM courses, but very few that focus on specific areas and none that focus on GIS. This course can be followed independently, or taken as part of a instructor led course (Access this course on GitLab). After this course participants will:
- Be aware of what RDM is and why it is important
- Be able to see how RDM is relevant to GIS
- Know how to apply RDM to GIS specific issues, including large file sizes, specialized file formats and files and databases.
- Be aware of specific challenges of RDM in the GIS setting and know how to overcome these.
Level
Introductory
Requirements
Basic file handling skills, Foundational GIS knowledge
Subject Area
All disciplines under Earth system sciences that work with Geographic Information Systems (GIS) and spatial data
What You Will Learn
- Know what a typical GIS project consists of and how these files might be stored.
- Be aware of different GIS data formats and how they are structured.
- Understand the differences between project specific geo data and general geodata.
- Know how standard RDM techniques can be applied to GIS.
- Understand how to apply file naming conventions in a GIS setting.
- Be aware of the importance of backups, archiving and disaster recovery
- Create a emergency data management plan for their work.
- Remember what the FAIR (Findable, Accessible, Interoperable, Reusable) principles are
- Understand how they apply to GIS data and GIS file formats
- Be aware of some of the challenges with this.
- Revisit strategies for sharing large GIS based data.
- Consider how we can apply RDM techniques to these data
- Apply RDM techniques to collaboration tools for sharing (e.g. GitHub)
- Consider RDM approaches for working with dynamic outputs, including API-based data sources.
- Be aware of some of the existing GIS based tools for RDM.
- Understand their advantages and limitations.
- Review some case studies of their applications.
- Recap what we have covered in the course.
- Be aware of future resources for further learning and processional development.
Resources
Foundations of Research Data Management for GIS by Nick Bearman , Joyce Kao, Digital Research Academy