Global Data Stewardship
1h 49mIntermediate2023-05-04
Authors

Stefaan Verhulst
Course details
Creating a systematic and sustainable data access program is critical for data stewardship. What you do with your data, how you reuse it, and how you make it available to the general public can help others reimagine what’s possible for data sharing and cross-sector data collaboration. In this course, instructor Stefaan Verhulst shows you how to develop and manage data reuse initiatives as a competent and responsible global data steward.
Following the insights of current research and practical, real-world examples, learn about the growing importance of data stewardship, data supply, and data demand to understand the value proposition and societal case for data reuse. Get tips on designing and implementing data collaboration models, governance framework, and infrastructure, as well as best practices for measuring, sunsetting, and supporting data reuse initiatives. Upon completing this course, you’ll be ready to start pushing your new skill set and continue your data stewardship learning journey.
Following the insights of current research and practical, real-world examples, learn about the growing importance of data stewardship, data supply, and data demand to understand the value proposition and societal case for data reuse. Get tips on designing and implementing data collaboration models, governance framework, and infrastructure, as well as best practices for measuring, sunsetting, and supporting data reuse initiatives. Upon completing this course, you’ll be ready to start pushing your new skill set and continue your data stewardship learning journey.
Skills covered
Data GovernanceData ScienceOne-Off
Concepts
0. Introduction
- 01 - The growing role of data stewardship
1. Understanding Data and Its Characteristics
- 02 - What are data and datafication
- 03 - The characteristics of digital data
2. Understanding Data Stewardship
- 04 - What is data stewardship
- 05 - The data steward canvas
3. Defining Data Demand
- 06 - Defining the purpose for reusing data
- 07 - Developing a problem statement
- 08 - Building a topic map
- 09 - Prioritizing issues in data demand
- 10 - Question formulation from data demand
4. Defining Data Supply
- 11 - Evaluating internal and external expertise
- 12 - Establishing the minimum viable datapoint
- 13 - Discovering where data exists for reuse
5. Establishing the Value Proposition for Data Reuse
- 14 - The societal case for data reuse
- 15 - The business case for data reuse
- 16 - Costs associated with data collaboratives
- 17 - Identifying and mitigating risks in data reuse
- 18 - The environmental impact of data reuse
6. Data Collaborative Models, Governance Frameworks, and Infrastructure
- 19 - Understanding models for data collaboration
- 20 - Openly accessible data collaboration models
- 21 - Privately accessible data collaboration models
- 22 - Governance frameworks
- 23 - Data-sharing agreements
- 24 - Building technological infrastructure
7. Measuring, Sunsetting, and Supporting Data Reuse Initiatives
- 25 - Measuring the impact of a data reuse initiative
- 26 - Determining when and how to sunset a data initiative
- 27 - Building internal support and buy-in for data stewardship
8. Continuing Your Data Stewardship Learning Journey
- 28 - Extending your data stewardship skills
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