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PDF · pages ·☰ Sign in | DSA Data Request > DSA Researchers Data Request Portal > Data Catalogue | Articles in this section
Types of data assets
This data catalogue describes the types of data assets (including their data structure, metadata and access modalities) that vetted researchers may request access to for the purposes set out in Article 40(4) DSA. The contents of this data catalogue is non-exhaustive and will be regularly updated.
| Data asset | Description | Structure & Metadata | Data access modalities |
|---|---|---|---|
| Items of content infringing terms & conditions or deemed illegal | Number of items removed through automated or manual detection | Fields: detection method (automated/manual), policy violation, date of removal | Secure research environment; aggregated |
| User notices regarding illegal content or policy violations | Number of user notices received relating to illegal content | Fields: type of alleged illegal content, actions taken on the basis of terms and conditions or law, average time to respond, policy violation | Secure research environment; aggregated |
| User notices relating to illegal listings | Number of user notices received relating to illegal listings | Fields: categorised by type of illegality, average time to respond, country of listing (EU) | Secure research environment; aggregated |
| Number of appeals | Number of appeals received against content moderation decisions | Fields: decision taken, average time to take decision, number of reversals, policy | Secure research environment, aggregated |
| Performance of automated tools for identifying infringing content | Metrics showing performance of automated content moderation tools | Fields: detection model type, accuracy, precision and recall, monthly trend | Secure research environment; aggregated KPIs only |
| Number of fake listings removed in the EU | Number of fake listings removed through automated or manual verification | Fields: detection method (automated/manual), month of detection, country of listing (EU), detection stage (pre-/after-onboarding), average time to action | Secure research environment; anonymised and aggregated |
| Number of fake reviews removed | Number of fake reviews removed through automated or manual verification | Fields: detection method (automated/manual), average time to action | Secure research environment, aggregated |
| Mitigation measures effectiveness | Data showing effectiveness of mitigation measures relating to fraudulent listings (e.g. performance metrics) | Fields: ratio of fake listings identified pre-onboarding versus post-onboarding over a 12-month period | Secure research environment, aggregated KPIs only |
| Case management data collection | Data showing cases reviewed by T&S, including the account restrictions imposed | Fields: T&S case tracking, category of case, type of response, date of escalations, date of response, country of accommodation | Secure research environment, Anonymised, Minimised |
| Number of orders relating to illegal listings | Data showing number of orders from Member State authorities relating to illegal listings | Fields: categorised by type of illegality, action taken, categorised by Member State | Secure research environment; aggregated |
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