Data Repository
Feeds to Finances
Paper
An ethnographic study of Instagram and mobile banking use among university students. Everything your instructor needs—paper, forms, transcripts, codebooks, and figures—is previewable and downloadable below.
Program
Bachelor of Business Administration
Year
2024
Study type
Ethnographic
Access
Instructor review
Branding ready
Add your logo
Replace /public/logo-placeholder.svg with your logo.png.
Fast previews for every file, clean download links, and a transparent pipeline showing how raw captures became the submission package.
Documents
24
Ready to upload
Datasets
3
Preview & download
QC steps
4
Documented below
Last update
Apr 2024
Version 1.0
Document library
Swap the placeholder files in /public/data/docs with your final PDFs, CSVs, or audio, and the links will stay intact.
Protocol
Consent artifacts, interview prompts, and field instruments.
Participant Information Sheet & Sample Consent Form
TXTSigned Consent Forms (anonymised)
TXTFull Logbook Question Set (Google Form export)
TXTSemi-Structured Interview Guide / Question Tree
TXTInterviews
Transcripts, audio metadata, and interviewer observations.
Transcripts of all interviews (anonymised)
TXTAudio recordings (metadata removed)
TXTInterviewer notes and observational comments
TXTUsage
Processed and raw usage captures plus cleaning documentation.
Processed spreadsheet of logbook entries
CSVUnprocessed screen-time & first-pickup data
CSVRepresentative screen-time screenshots (anonymised)
TXTData cleaning & anonymisation procedure
TXTCoding
Primary/secondary codebooks, revisions, memos, and agreement checks.
Primary codebook & final code map
CSVSecondary codebook (independent)
CSVInitial codebook (pre-discussion)
CSVCodebook revision log
TXTExported MAXQDA code reports
TXTAnalytic memos (first + second cycle)
TXTCross-coder subset for agreement checks
CSVIndependent coder sheets
TXTDiscrepancy notes & resolutions
TXTFigures
Visuals plus the raw numbers and calculations behind each figure.
Copies of all graphs and figures
TXTRaw data used to generate each graph
CSVProcessing steps / calculations for visuals
TXTData previews
Quick tables so reviewers can verify structure, anonymisation, and column naming without opening another app.
Processed
Anonymised logbook entries with first-pickup times, screen-time minutes, and app events.
4 KB
CSV
Updated 2024-04-08
Aggregated
Daily totals for Instagram + banking time and first-pickup timestamps, aligned to local time.
3 KB
CSV
Updated 2024-04-08
Qual coding
Core codes with definitions and example quotes used for triangulating app behaviors.
2 KB
CSV
Updated 2024-04-08
Processing & anonymisation
Transparent steps so reviewers can trace every file back to its source and confirm de-identification.
Consent & scoping
Collected signed consent; limited captures to the agreed daily windows.
Output: participant-info-consent.pdf (replace placeholder)
Anonymise & trim
Replaced device IDs with participant IDs, redacted names/orgs, and removed non-scope events.
Output: screen-time-unprocessed.csv (de-identified)
Structure & summarise
Normalized timestamps, merged logbook responses, and computed first-pickup plus app totals.
Output: logbook-entries.csv + screen-time-summary.csv
Code & validate
Built primary/secondary codebooks, logged revisions, and ran cross-coder checks.
Output: codebook-snapshot.csv + agreement materials
Rapid checks
Instructor ready
Inline previews
Validate structure before downloading.
Trustworthy
Documented QC
Every step logged and linked.
Downloads
Use these links to hand the repository to your instructor or drop it into a submission portal.
Download paper (PDF)
Replace with your final manuscript before submission.
Download →
Full repository bundle (zip)
All CSVs, documents, and placeholders in one file.
Download →
Processing notes (txt)
Steps for cleaning and anonymisation.
Download →
Repository readme
File map and citation guidance.
Download →
Logo placeholder (svg)
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Download →
Repository map
/data-repository
└── public/data
├── paper.pdf
├── logbook-entries.csv
├── screen-time-summary.csv
├── codebook-snapshot.csv
├── figures-raw-data.csv
├── processing-notes.txt
├── repository-readme.txt
├── data-bundle.zip
└── docs/ (protocols, transcripts, codebooks, figures)Cite as: Dotse, M., Elokan, F., Holmes, W., Houaiss, J., & Ramazanbeyoglu, B. (2024). Feeds to Finances: Understanding Student App Practices. Data repository v1.0.
Project team
Include your instructor’s preferred contact if needed. Logo space above will use /public/logo.png when you drop it in.
Contact
studio@yourlab.edu (replace with your email)
Maisha Dotse
Co-lead researcher
Franck Elokan
Co-lead researcher
William Holmes
Methods & data
Joe Houaiss
Analysis & visuals
Bora Ramazanbeyoglu
Fieldwork & notes