Rationale
- Data relating to the variability among living organisms and their natural environment (biodiversity data) are collected by various actors in Botswana. These data include multiple formats and detailed information relating to species occurrences and/or abundance, which are used to generate reports, publications and fulfill requirements in higher learning-.
- However, the data are seldom collated and carefully archived for future use in part due to lack of capacity, and infrastructure to do so. Also, these (sometimes complex) datasets present a challenge in terms of data compatibility and compilation.
- To enhance objective, evidence-based reporting to the multiple conventions and ratified organizations to which Botswana subscribes on biodiversity, long term timeseries datasets need to be readily available and in formats that are quickly findable and readable for the Fourth Industrial Revolution (4IR).
- This course is designed to assist biodiversity data producers, data managers and users to deal with datasets in a consistent manner to minimize errors and maximize efficiency in mobilizing data. The course will also equip participants with tips and tricks for dealing with large datasets, preparing data for aggregation as well as how to access existing repositories.
Purpose
- Demonstrate knowledge of data management principles
- Demonstrate ICT Skills and Tools for Biodiversity Data Management
- Be able to explore Biodiversity Databases, Portals, and Repositories
- Demonstrate the capacity to mobilise data and share processes for data aggregation
Learning Outcomes
- Be able to define data, data management, recognize the utility of data and understanding of data cycles.
- Apply knowledge of ICT and software to process datasets for usability in the global scene.
- Demonstrate understanding of simple database construction, backend, front end of databases, data packaging tools (IPT, API), uploads.
- Iv. Demonstrate the ability to prepare templates, upload files and prepare metadata for outward facing data sharing platforms such as ORI-IPT and GBIF.
Target Population
- Environmental managers, Researchers, Focal points/personnel for CBD, CITES, Data miners. Data managers, Data producers, etc
Delivery Modes
- Facilitation through PowerPoint presentations and flip charts
- Class discussions
- Case studies and examples.
- Practicum (Participants will work in groups to suggest possible solutions to challenges presented to them.
Assessment
- Quizzes
- Participation in group presentations
- Practicum will be used to assess competencies in workflows in data management, completion of templates and successful uploads to the IPT
Recognition of Prior Learning
- Bachelor’s Degree in one or more of the relevant fields (Ecology, Biology, Botany, Range Ecology, Environmental Science, or any cognate subjects)
Certification
- Class participation
- Completed one quiz and four practicum sessions.
- 98% attendance