Curiosity in a Data-Filled World

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Curiosity in a Data-Filled World: Data Literacy for Everyone, by Dave Wells

Build the curiosity and judgment to make sense of data in everyday life, from news stories and school reports to workplace metrics and personal choices.

Topics

Part I: Data Literacy as a Life Skill


Chapter 1: Data Literacy in Everyday Life

From reading and writing to working with data

Data in everyday life

Clearing up misconceptions

Learning to think with data


Chapter 2: Data in Everyday Life: Three Perspectives

The personal perspective: my information, my choices

The work perspective: data on the job

The societal perspective: public life, institutions, and power

One day, many perspectives


Part II: Working with Data


Chapter 3: Finding Meaning in Data

Personal and family information: records that follow us

Counts and measures: time, money, quantities, and scores

Data in digital life: traces, metrics, and nudges

Simple sense-making: patterns, comparisons, and change

Safety, privacy, and consent basics

Foundations across ages


Chapter 4: Questioning Data and Meaning

Reasoning from data to evidence

Correlation, cause, and bias

Misleading numbers and visuals

Ethics, rights, and power

Habits of skepticism and careful thinking


Chapter 5: Decision Making with Data

Personal and family decisions

Decision making at work

Civic and community decisions

Decisions about the data: evaluating and learning


Chapter 6: Communicating with Data

Creating and selecting data

From data to message

Communicating visually

Communicating with words

Dialog, feedback, and listening


Part III: Data Literacy Across Roles and Life


Chapter 7: Growing Up with Data: Children and Students

Students and youth: habits that last

Critical literacy for youth

Supporting young people’s literacy


Chapter 8: Data in Personal and Community Life

Parenting and caregiving

Choosing and using products, platforms, and services

Evaluating advice and claims

Navigating public information

Participating in community

Bringing it together


Chapter 9: Data in Work and Public Life

Service workers

Trade workers and technicians

Office and administrative workers

Managers and leaders

Educators and education leaders

Public officials and policymakers

Bringing it together

 


Chapter 10: Data in Technical and Digital Systems Roles

Software and systems roles

Data and analytics roles

Governance, privacy, and compliance roles

Working together across the roles

Human impact and responsibility


Part IV: Data Literacy Knowledge and Practice


Chapter 11: Everyday Habits of Data Literacy

Counting and measuring

Classifying and categorizing

Comparing and contrasting

Patterns, relationships, and trends

Finding meaning and making sense

Curious thinking, cautious thinking, and critical thinking

From information to insight


Chapter 12: A Lifetime of Curiosity and Discovery

A way of seeing

A way of thinking

A way of learning

A way of connecting

A way of growing

Staying curious

Continuing the journey


Appendix A: Data Literacy Body of Knowledge (DLBOK)

Domain 1: Foundations of data

Domain 2: Data management and responsibility

Domain 3: Finding, evaluating, and preparing data

Domain 4: Analyzing and interpreting data

Domain 5: Visualization and communication

Domain 6: From insight to action


Appendix B: Glossary of Data Literacy Terms

Build the curiosity and judgment to make sense of data in everyday life, from news stories and school reports to workplace metrics and personal choices.

Data literacy is not just for analysts, technical professionals, or “data people.” It is a life skill for parents, students, workers, leaders, and citizens who want to make sense of the information flowing through daily life. From budgeting apps, nutrition labels, and school portals to workplace metrics, public dashboards, and news headlines, this book helps readers interpret data, question claims, recognize patterns, and think more clearly in a world shaped by data.

Explore how people find meaning in data, evaluate evidence, avoid being misled by numbers and visuals, and make thoughtful decisions without needing advanced math or specialized tools. Readers will discover how to move from raw information to real understanding by building habits of curiosity, critical thinking, careful comparison, and healthy skepticism. Along the way, the book addresses data interpretation, decision making, data communication, privacy, consent, ethics, bias, and the growing influence of automated systems and AI in everyday life.

The book also follows data literacy across the many roles people fill throughout life. It examines how children and students begin forming data habits, how families use information in health, education, and household decisions, how workers in every kind of job rely on records, metrics, and reports, and how communities use data to participate in civic life and public conversations. The book’s practicality makes it especially valuable for educators, parents, managers, lifelong learners, and anyone looking for a clear introduction to data literacy, critical thinking, data ethics, and evidence-based decision making.

More than a book about numbers, Curiosity in a Data-Filled World is a guide to living thoughtfully in a data-rich society. It brings together practical habits, real-world examples, and a structured Data Literacy Body of Knowledge (DLBOK) to help readers understand data foundations, responsibility, evaluation, communication, and action. Strengthen your ability to question numbers, interpret evidence, and spot what matters in a world overflowing with data.

About Dave

Dave Wells is a data management consultant, educator, and author with experience across a broad spectrum of data practices. As a consultant he provides advice, direction, and guidance for data architecture, data quality, data governance, data integration, and data interoperability. As an educator, he serves as Director of Education and instructor at eLearningCurve and teaches a variety of courses at Dataversity.

Over more than fifty years working with data in many roles, Dave has helped people learn how to understand, interpret, and communicate with data. His experience includes data architecture, data analysis, data visualization, data storytelling, and the design and development of data management systems.

These experiences give Dave a broad perspective on how business, information, data, and technology work together—and how people can use data thoughtfully in their work and in daily decisions. Knowledge sharing and skills building are Dave’s passions, carried out through consulting, speaking, teaching, and writing.

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