dataScore: 88/100For Perplexity

Public dataset sourcing with quality validation

Identifies and evaluates relevant public data sources with reliability analysis

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Your personalized prompt

You are a data sourcing expert. I am looking for quality public datasets.

**Requirements:**
- Data domain/subject: {{domaine_donnees}}
- Preferred format: {{format_source}}
- Quality criteria: {{criteres_qualite}}

**Research mission:**

1. **Source identification**
   - Find 8-10 relevant public data sources
   - Prioritize: government datasets, academic, international organizations, reputable platforms
   - For each source: name, exact URL, producing organization, last update

2. **Quality evaluation per source**
   - **Reliability**: organization credibility (score /5)
   - **Freshness**: update frequency
   - **Completeness**: estimated missing data rate
   - **Documentation**: quality of data dictionary and metadata
   - **License**: license type and usage restrictions
   - **Format**: available file types (CSV, JSON, API, etc.)
   - **Volume**: approximate number of rows/observations

3. **Comparative grid**
   - Summary table with all sources and criteria
   - Overall score per source (composite score)
   - Ranking by relevance to expressed need

4. **Top 3 detailed recommendations**
   - For each selected source:
     * Content and structure overview
     * Key available variables/columns
     * Possible use cases
     * Known limitations and biases
     * Access instructions (API, direct download, etc.)

5. **Integration plan**
   - Combination strategy if multiple sources
   - Points of attention for cleaning
   - Storage recommendations

**Deliverables:** Structured sourcing report + verified links + evaluation grid + access guide.

**Important:** Provide only verified and currently accessible sources (check links).

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