Data creation techniques & methods
Explore various ways to generate data through simulations, sensors, and automated collection methods.
K–2 Competencies
Recognize that simulations and models can act as sources of data.
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.
3–5 Competencies
Record outcomes of simple random simulations or processes.
Use data generated by sensors or automated techniques. e.g., weather stations record temperature every hour
Describe the procedures and tools to be used to measure a quantity of an object or an event.
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 data generated from simulations and models to investigate a question of interest.
Deploy or trigger sensors or automated data collection methods and use the generated data to investigate a pre-defined problem or question.
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.
9–10 Competencies
Describe benefits and drawbacks of using proxy variables.
Use and/or change parameters of simulations to generate data to address a problem of interest.
Design sensor-based experiments or automated data collection scenarios to explore a problem or question and identify the scenarios' limitations and trade-offs.
Describe the features, benefits, limitations, and ethical thinking that went into a data collection process.
Design and implement traditional data collection methods (e.g., surveys, observations, field studies) to investigate research questions and evaluate their strengths and limitations compared to automated approaches.
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
Design simulations (e.g., using an RNG or computer software) and underlying models to generate data specific to a problem of interest.
Identify optimal sensors or automated data collection methods for answering a data-based question or designing an experiment.
Distinguish between surveys, observational studies, and experiments.
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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