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URL: https://www.coursera.org/learn/govern-and-evaluate-research-data-quality?specialization=conjoint-to-cluster-survey-design-segmentation

⇱ Govern and Evaluate Research Data Quality | Coursera

Govern and Evaluate Research Data Quality

Govern and Evaluate Research Data Quality

This course is part of multiple programs.

Included with

Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

2 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

2 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Master market forecasting and trend analysis. Learn to use historical data to predict demand and evaluate the strategic impact of emerging trends.

Details to know

Shareable certificate

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Recently updated!

February 2026

Assessments

3 assignments¹

AI Graded see disclaimer
Taught in English

Build your subject-matter expertise

This course is available as part of
When you enroll in this course, you'll also be asked to select a specific program.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 2 modules in this course

This course builds data governance and quality management capabilities for research professionals. Learners will develop skills in applying metadata tagging for effective data governance and evaluating data quality against defined standards. Through practical application, learners will build the technical capabilities needed to implement robust data management practices that ensure information integrity and accessibility.

This module introduces the core principles of data governance and the critical role of metadata. Learners will explore why consistent data tagging is essential for preventing costly errors, using real-world examples as a guide. They will learn how to interpret governance policies to determine and apply correct metadata, transforming raw data into reliable, governed assets.

What's included

2 videos1 reading2 assignments

2 videos•Total 13 minutes
  • What is Data Governance?•7 minutes
  • How to Apply Metadata Tags in a Simulated Environment?•6 minutes
1 reading•Total 8 minutes
  • Decoding Data Governance Policies•8 minutes
2 assignments•Total 25 minutes
  • Hands-On Learning: Tagging the Legacy Dataset•20 minutes
  • Knowledge Check: Interpreting Your Forecast•5 minutes

In this module, learners shift from establishing governance to maintaining it. They will learn how to monitor data quality by evaluating Key Performance Indicators (KPIs) against organizational standards. Using a case study based on the UK Government's COVID-19 data error, learners will practice identifying quality failures and creating formal issue tickets to drive the remediation process, ensuring data remains trustworthy over time.

What's included

2 videos2 readings1 assignment

2 videos•Total 14 minutes
  • When Good Data Goes Bad: A National Emergency•6 minutes
  • How to Create a Remediation Ticket in Jira?•8 minutes
2 readings•Total 11 minutes
  • Understanding Data Quality Reports and KPIs•7 minutes
  • Anatomy of an Effective Remediation Ticket•4 minutes
1 assignment•Total 30 minutes
  • Final Project: Data Governance and Quality Toolkit•30 minutes

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Frequently asked questions

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

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¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.