Global Data Stewardship

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.

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