MƗẊɄFȦB – Guidelines for Data Analysis

This training resource supports citizen science by helping participants analyse data they have directly contributed through interviews and questionnaires. It values citizens’ experiences as valid knowledge and provides tools to collectively interpret responses, identify shared themes, and reflect on differences. The resource promotes ethical, inclusive, and participatory data analysis, enabling citizens to actively contribute to research, learning, and community-based decision-making.

This resource is available in French and It is also available in Italian

Publish information

Authors:	X23;
Year of publication:	2026

Links with projects and/or organisations

Training information

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Language

French

Keywords

Data Guidelines Data Analysis

Theme

Research Design And Methods Engagement Data Quality And Standards

Category

Text : Guideline

Audience

All Audiences

Learning Resource Type

Guideline