Ethical and Effective Data Sharing at Scale
The goal of this course is to understand the ingredients essential for successful data sharing and how this information can be used to harness recipes for ethical and effective data sharing partnerships.
Free
- Data management and Harmonisation
- 1 (Registered)
18
Mar
Free
Course Description
This course is designed for NSO officials’ tasked with exploring data sharing/private sector engagement, to understand the ingredients essential for successful data sharing and how this information can be used to harness recipes for ethical and effective data sharing partnerships.
Learning Outcomes
By the end of this course, learners will be able to:
– Engage with relevant stakeholders in data collection and data sharing,
– Activity start the planning stages for data sharing
– Demonstrate awareness of data sharing policies and best practices
– Confidently use the knowledge in the course to participate in data sharing partnerships
This course was developed and contributed to e-CISTAR by the Global Partnership for Sustainable Development Data (GPSDD).
Course Content
Total learning: 1 lesson
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Course Introduction
Course Provider
- This course was developed and contributed by the Global Partnership for Sustainable Development Data (GPSDD)
Target audiences
- NSO officials’ tasked with exploring data sharing/private sector engagement
- MNOs and regulators in the mobile data space
- The AI community, Regulators/ aggregators of data from different govt agencies e.g. the Communications Authority; Data Protection Authority
FAQs
The goal of this course is to understand the ingredients essential for successful data sharing and how this information can be used to harness recipes for ethical and effective data sharing partnerships.
This is an individual self-paced course where you will engage directly with the course resources and activities on your own time and at your own pace. The self-paced mode of the course is designed to help you to review the materials including videos, case studies, presentations, and readings.
This course comprises of 8 modules with an expected seat time of 3 hours