Research with moirée

The following questions are meant as starting points, not as a closed list:

1. Prevalence of experience types by industry: Which forms of structural disadvantage dominate in which sectors? Are there industry-specific patterns (e.g., Gatekeeping in Audio, Tokenism in Games)?
2. Regional patterns in the DACH region and beyond: Do the documented experiences differ between Germany, Austria, and Switzerland? What changes emerge with the EU expansion of the platform?
3. Career level and vulnerability: Are those early in their careers more affected than those in senior positions? Do experience types differ by career level?
4. Temporal trends: Are certain experience types increasing or decreasing over time? Are there seasonal or economic patterns?
5. Overlap of multiple experience types: Do affected individuals report overlapping patterns? Do certain combinations occur more frequently (e.g., Invisible Labor and Tokenism)?

The existing literature is collected on the studies page; please also note the known limitations of the database.

moirée makes anonymized case studies with structured metadata available for academic use: experience type, industry, region, career level, period, plus short and full text. Anything below country level is deliberately excluded. Cases are linked to academic studies and categorized according to scientific standards.

Data formats:

• CSV export — available via the database page (filtering and download)
• JSON file — structured case data in data/cases-export.json (CC BY 4.0 like all data; the source code is MIT)

All data and content are available under Creative Commons CC BY 4.0 — free to use with attribution.

In the docs/data-package/ directory you will find:

• Codebook — Variable documentation for all data fields
• Methodology Summary — Summary of the data collection methodology
• Limitations — Known limitations and notes
• Citation Guide — Citation formats (BibTeX, APA, Chicago)

moirée is open to scientific collaborations. Possible forms of cooperation:

• Joint publications — Co-authorship on analyses and evaluations of the data
• Data analysis partnerships — Access to raw data for your own research projects
• Methodology review — Assessment and further development of the data collection methodology

What the platform offers:

• Open data access under CC BY 4.0
• Methodological guidance and documentation
• Opportunity for co-authorship on data-driven publications

Please use the form below to get in touch:

No research collaboration is currently running. To work with us, use the form above.