Data Master Facilitation Guide Data Master
FACILITATION GUIDE • UNIT 3.01
NC CS10 Computer Science
Instructional Resource
Timeframe
90 Minutes
Objective
NC CS10 3.01
Topic
Collection & Storage
Essential Questions
How do computers gather information from the physical and digital world?
Where does all this data go once it is collected?
How do storage choices affect access, speed, and security?
Learning Targets
Students will be able to...
• Identify multiple sources of digital and manual data collection.
• Distinguish between primary and secondary data sources.
• Explain the differences between structured and unstructured storage.
• Compare local vs. cloud storage solutions.
Materials Needed
• Data Discovery Slides (Material 1)
• Data Hunt Worksheet (Material 2)
• Vault Security Quiz (Material 3)
• Data Pulse Project Guide (Material 4)
1
Warm-Up: The Invisible Trail (10 min)
Ask students: "What data have you already created today?" (Examples: texts, swipes, logins, bus cards). Introduce the concept of Passive vs. Active data collection.
Discussion Prompt: Is your data ever truly "deleted"?
2
Direct Instruction: Data Flow (20 min)
Use the Data Discovery Slides to cover:
Collection Methods: Surveys, Sensors (IoT), Cookies, Transactional logs.Storage Types: Relational Databases (SQL), Non-relational (NoSQL), Cloud vs. On-premise.Data Structure: Structured (rows/columns) vs. Unstructured (images, social posts).
3
Guided Practice: The Data Hunt (30 min)
Students work in pairs on the Data Hunt Worksheet. They will analyze a real-world scenario (e.g., a smart grocery store) to map out how data is gathered and where it resides.
Teacher Tip:
Circulate the room and ask students to justify *why* a specific storage type (Cloud vs. Local) would be chosen based on speed or cost.
4
Independent Practice: The Quiz (15 min)
Administer the Vault Security Quiz to assess understanding of key vocabulary and storage concepts.
5
Closure: Project Launch (15 min)
Introduce the Data Pulse Project. Explain that they will be creating a "Data Map" for a business or system of their choice.
Differentiation & Support
Support (Scaffold)
Provide a word bank for the Data Hunt worksheet. Use "Storage Sorting" cards for students to physically move items into Local or Cloud buckets.
Extension (Challenge)
Ask advanced students to research "Edge Computing" and how it differs from traditional cloud storage in terms of latency.
Essential Vocabulary
METADATA SQL / NOSQL STRUCTURED DATA LATENCY CLOUD REDUNDANCY IOT SENSORS
Data Hunt Worksheet Data Hunt
Case Study Analysis • NC CS10 3.01
Name:
Date:
Mission Briefing
Analyze the scenario below. Your goal is to identify how data is gathered, what format it takes, and where it should be stored for maximum efficiency.
SCENARIO
The "Gigabit Arena" Smart Stadium
The new Gigabit Arena uses technology to improve fan experience. When fans arrive, their tickets are scanned at the gate. Throughout the game, sensors track the temperature in different zones to adjust the AC. Fans use a mobile app to order food, and the stadium's Wi-Fi tracks which areas have the most foot traffic to manage security staffing. After the game, fans receive a digital survey asking about their experience.
1. Data Collection Mapping
Identify four specific pieces of data collected in the arena and categorize their method.
Specific Data Point Method (Sensor, User Input, Log) Active or Passive?
2. Data Structure Analysis
Structured Data Example
Find one example from the arena that fits into a standard spreadsheet (rows/columns).
Unstructured Data Example
Find one example (or imagine one) from the arena that doesn't fit a standard table (e.g., video, social media posts).
3. The Storage Debate
The Arena manager needs to decide where to store the real-time Wi-Fi tracking data used for security staffing. They are choosing between a Local Server in the arena and Cloud Storage .
Benefit of choosing Cloud Storage for this data:
Benefit of choosing Local Storage for this data:
Final Recommendation: Which would you choose and why?
Privacy Check
As a fan, what is one piece of data being collected at the Gigabit Arena that you might feel uncomfortable with? Why?
Vault Security Quiz Vault Security
Unit 3.01 Assessment • Data & Analysis
Score
Student:
Date:
INSTRUCTIONS:
Read each question carefully. Select the best answer for multiple-choice questions. For short-answer responses, provide specific technical justifications.
01 Multiple Choice
1. Which of the following is an example of passive data collection?
A student filling out a digital feedback survey about a field trip.
An IoT sensor recording the soil moisture level in a garden every hour.
A user creating a new account and entering their date of birth.
Answering a "Yes/No" poll on a social media platform.
2. Why might a company choose Cloud Storage over Local Storage?
It requires no internet connection to access.
It provides better physical security for the hard drives.
It offers easier scalability and global accessibility.
It is always cheaper regardless of the amount of data stored.
3. Which storage structure is best suited for social media posts that include text, images, and videos?
Relational Database (SQL)
A standard paper filing system
Non-relational Database (NoSQL) / Unstructured Storage
A physical CSV file stored on a USB drive
02 Technical Application
4. Define "Metadata" and provide one real-world example of it in a photo file.
5. Explain the concept of Latency and why it might be a reason to choose Local Storage over Cloud Storage for high-speed manufacturing sensors.
03 Case Study
A small independent hospital currently stores all patient records on physical servers located in the basement. They are considering migrating to a cloud-based medical platform.
6. Identify one significant security risk of keeping the data on local servers in the hospital building.
7. How does the concept of "Redundancy" apply to this hospital's decision to move to the cloud?
Vault Security Verification System • V.3.01
Data Pulse Project Guide Data Pulse
System Design Project • NC CS10 3.01
Unit 3: Data and Analysis
Final Performance Task
The Challenge
You are a Data Architect hired to modernize a business or community organization. Your mission is to design a comprehensive system for gathering, storing, and securing information that will help the organization run efficiently.
Phase 1: The Blueprint
1
Identify your Client
Choose a real or fictional business (e.g., a smart gym, a pet rescue, a space station, a local farm).
2
Map the Collection
Detail at least 5 different data points collected through sensors, user input, and automated logs.
Phase 2: The Vault
3
Storage Strategy
Decide between Local vs. Cloud storage. Justify your choice based on speed, cost, and reliability.
4
Privacy Protocol
Create a plan for metadata management and securing unstructured data like video feeds or voice recordings.
Final Deliverables
Visual Map
Diagram of data flow
Design Doc
Written technical specs
Elevator Pitch
2-min system demo
Project Brainstorming
Name:
Target Organization
Describe the business and its primary goal.
Collection Points
Data Source Method
The Storage Solution
Cloud, Local, or Hybrid?
Technical Justification:
Privacy & Ethics Statement
How will you ensure user data is protected? What data will you EXCLUDE to protect privacy?
Grading Checklist
Collection
5+ data points identified
Storage
Clear tech justification
Structure
Correct category types
Design
Professional visual map
Data Discovery Slides NC CS10 • Objective 3.01
Data Discovery
Understanding how the world becomes information.
Computer Science • Unit 3
The Invisible Trail
Think about your morning so far. How much data have you created since you woke up?
Unlocking your phone
Connecting to Wi-Fi
Scanning a bus pass or ID
"Data isn't just numbers in a spreadsheet; it's a digital fingerprint of your life."
How do we get it?
Active Collection
The user knowingly provides data to a system.
Filling out a survey
Creating an account
Posting a status update
Passive Collection
Data is collected automatically without user interaction.
IoT Sensors (Temp, Motion)
Website cookies
Server logs (IP addresses)
The Shape of Data
Structured
Unstructured
Structured
Highly organized and searchable.
ID Value Time
001 72°F 08:00
002 71°F 08:01
Example: SQL Databases, Excel, CSV files.
Unstructured
Raw, messy, and complex.
"Social Media Feed"
Images, videos, and long text posts that don't fit into neat rows and columns.
Local vs. Cloud
Local Storage
Speed (Low Latency)
Fast access without internet.
Limited Scaling
Must buy new hardware to grow.
Cloud Storage
Redundancy
Data is backed up in multiple places.
Scalability
Pay for more space instantly.
Metadata
"Data about other data."
IMG_482.JPG
Metadata Examples:
Date Created
Feb 17, 2026
File Size
4.2 MB
GPS Location
Raleigh, NC
Camera Settings
f/1.8 • 1/120s
The Big Question
"Just because we CAN collect it, SHOULD we?"
Privacy
Who owns your metadata?
Security
Is any vault 100% safe?
Ethics
Bias in data analysis.
