Organizing & structure
Organize raw data into structured formats using categories, tables, and systematic recording methods.
K–2 Competencies
Collect and record data on case cards, wherein each card represents a single observation.
Create categories from individual categorical responses (e.g., scary things).
Define the categories used to measure the qualities of an object (e.g., color, shape).
Classroom resources
K-2 Sorting Toys
The purpose of this lesson is to introduce students to data collection, organization, and analysis through a hands-on survey about toy preferences. Students will learn to categorize data, create visual representations, and draw conclusions from their findings.
K-2 Favorite Fruit Case Cards
The purpose of this lesson is to teach students how to collect, organize, and analyze data using multiple attributes through the creation of "case cards." Students will explore fruit preferences while learning to categorize data using various criteria and make comparisons across different characteristics.
Data Science Starter Kit Module 2: Getting Data Ready - Creation and Curation
Welcome to the hands-on world of data collection and organization! This module focuses on where data comes from and how to make it useful for investigation.🔗
Creation and Curation isn’t about turning your students into professional researchers. It’s about helping them understand that data doesn’t just appear—it’s collected by people making decisions about what to measure and how. Whether students are conducting their own surveys or using existing datasets, they need to understand how data gets from the messy real world into organized, analyzable formats.
3–5 Competencies
Collect and organize data about objects or events with multiple variables, progressing from simple case cards to structured tables with labeled rows (e.g., observations) and columns (e.g., variables).
Classroom resources
Data Science Starter Kit Module 2: Getting Data Ready - Creation and Curation
Welcome to the hands-on world of data collection and organization! This module focuses on where data comes from and how to make it useful for investigation.🔗
Creation and Curation isn’t about turning your students into professional researchers. It’s about helping them understand that data doesn’t just appear—it’s collected by people making decisions about what to measure and how. Whether students are conducting their own surveys or using existing datasets, they need to understand how data gets from the messy real world into organized, analyzable formats.
6–8 Competencies
Use categorical variables or bins/groups of numerical variables in a dataset to restructure data into groups.
Make sense of and use a dataset arranged in nested or hierarchical format.
Classroom resources
Middle School Drought Analysis
The purpose of this lesson is to develop students' data literacy skills through analyzing real drought data from their state or region. Students will explore climate patterns, create visualizations, draw evidence-based conclusions, and communicate findings effectively while learning to evaluate data sources, identify patterns, and understand the ethical implications of data analysis.
Data Science Starter Kit Module 2: Getting Data Ready - Creation and Curation
Welcome to the hands-on world of data collection and organization! This module focuses on where data comes from and how to make it useful for investigation.🔗
Creation and Curation isn’t about turning your students into professional researchers. It’s about helping them understand that data doesn’t just appear—it’s collected by people making decisions about what to measure and how. Whether students are conducting their own surveys or using existing datasets, they need to understand how data gets from the messy real world into organized, analyzable formats.
9–10 Competencies
Create and manage complex data structures with multiple related tables, understanding primary and foreign key relationships between datasets.
Transform and restructure hierarchical or nested data into normalized tabular formats suitable for analysis.
Design efficient organizational schemas for large datasets with multiple variables and complex relationships.
Classroom resources
Data Science Starter Kit Module 2: Getting Data Ready - Creation and Curation
Welcome to the hands-on world of data collection and organization! This module focuses on where data comes from and how to make it useful for investigation.🔗
Creation and Curation isn’t about turning your students into professional researchers. It’s about helping them understand that data doesn’t just appear—it’s collected by people making decisions about what to measure and how. Whether students are conducting their own surveys or using existing datasets, they need to understand how data gets from the messy real world into organized, analyzable formats.
11–12 Competencies
Develop and implement data organization systems that accommodate both structured and unstructured data types.
Create scalable data organization strategies that maintain data integrity while handling missing values, irregular structures, and evolving data requirements.
Design and implement metadata documentation systems to track data lineage, transformations, and organizational structures.
Classroom resources
Data Science Starter Kit Module 2: Getting Data Ready - Creation and Curation
Welcome to the hands-on world of data collection and organization! This module focuses on where data comes from and how to make it useful for investigation.🔗
Creation and Curation isn’t about turning your students into professional researchers. It’s about helping them understand that data doesn’t just appear—it’s collected by people making decisions about what to measure and how. Whether students are conducting their own surveys or using existing datasets, they need to understand how data gets from the messy real world into organized, analyzable formats.
Advanced Competencies
Classroom resources
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