Scenario:

Students work in music and digital media teams to organize, analyze, and curate music collections for specific audiences and purposes. This includes tagging metadata, analyzing listening trends, and creating themed playlists—simulating real-world roles in streaming platforms, music data analysis, and digital curation.

Occupations Involved & Contributions

Music Information Retrieval Specialist 

Analyzes and organizes music data, including metadata, genres, and tagging systems.

Music Analyst 

Studies listening trends, audience behavior, and music performance data to inform curation decisions.

Streaming Platform Curator 

Designs playlists that align with themes, moods, or target audiences.

Digital Rights Data Manager 

Tracks ownership, licensing, and metadata accuracy for music assets.

Licensing / Rights Administrator 

Ensures proper use and documentation of music rights and permissions.

Sync Licensing Agent 

Matches music to media opportunities (film, TV, ads) based on mood and audience fit.

Rights Clearance Coordinator 

Verifies that music selections can be legally used and distributed.

Music Software UX Designer 

Designs user experiences for music platforms, focusing on how users discover and interact with playlists.

Digital Media Specialist 

Manages digital content organization and presentation across platforms.

Project Steps: Music Data & Playlist Curation Lab

1. Form Curation Teams and Assign Roles ○ Assign each student a professional role (e.g., Music Analyst, Playlist Curator, Data Manager). ○ Review responsibilities and expectations for music curation and data organization.

2. Define Theme and Target Audience ○ Choose a theme (e.g., workout, relaxation, study, cultural genre, storytelling). ○ Identify the intended audience and purpose of the playlist. ○ Establish criteria for song selection (mood, tempo, genre, message).

3. Organize and Tag Music Metadata ○ Label songs with relevant metadata (genre, tempo, mood, artist, year). ○ Organize files or tracks into structured categories or folders. ○ Ensure consistency and accuracy in data labeling.

4. Analyze Listening Trends and Preferences ○ Examine patterns such as popular genres, tempo ranges, or artist styles. ○ Compare audience preferences and how they influence playlist design. ○ Use insights to refine song selection.

5. Curate and Build the Playlist ○ Select and arrange songs in a purposeful order. ○ Consider flow, transitions, and overall listening experience. ○ Refine the playlist to match the intended theme and audience.

6. Present Curated Collection ○ Share the playlist with the class or audience. ○ Explain curation choices, data analysis, and audience targeting. ○ Demonstrate how metadata and trends informed decisions.

7. Reflect and Evaluate ○ Discuss how data and creativity work together in music curation. ○ Reflect on collaboration, organization, and decision-making. ○ Identify how these skills apply to careers in music, tech, and media.