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Data Quality, Data Management and Data Sharing

COURSE

Data Quality, Data Management and Data Sharing

Beginner

20 min

Self-paced

Taught by Massoud Hamad & Msilikale Msilanga

LESSONS

1

% complete

DURATION

20 min

Self-paced

STUDENTS

2

enrolled

CERTIFICATE

Yes

on completion

About this course

This introductory lecture explains, in plain language and with real examples from Tanzania and the Resilience Academy Climate Risk Database (CRD), why three connected disciplines matter for anyone who works with data: data quality (is it correct?), data management (is it kept usable?), and data sharing (can others find and reuse it?). Together, these turn a raw file on a laptop into a trusted public resource that supports urban-resilience decisions.

The session is grounded throughout in the Climate Risk Database, the open geospatial platform for Tanzania’s cities, using its real datasets — for example, the community-based flood and heat ‘experience’ layers for wards such as Kigogo and Tandale — to make each idea concrete. It reflects the Resilience Academy principle that local talent produces the local data that builds local resilience, and that curation is what keeps that data valuable over time.

Explain what data quality means and describe its main dimensions (positional and attribute accuracy, completeness, logical consistency, currency)

Describe the data lifecycle and the core practices of data management, especially metadata (ISO 19115) and standard formats

Explain open data, the FAIR principles, and licensing (CC-BY 4.0, ODbL), and how data is shared through the CRD

Connect the three ideas: quality makes data trustworthy, management keeps it usable, and sharing makes it valuable to many

Course content

1 lesson

%

What learners say

Your instructor

Massoud HamadInstructor
Msilikale MsilangaInstructor

Course details

Format

Self-paced

Language

English

Level

Beginner

Last updated

September 5, 2026

Certificate

Included ✓

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