Data · dataset · 2026
NoVaMigra Value Landscape
Listed in TUDOdata
The NOVAMIGRA Value Landscape is a tool to visualize aspects of NOVAMIGRA’s research on value discourses in the context of migration and integration policies in Europe, both at EU and at member state level.
Description
The Value Landscape’s data are based on a content analysis of civic integration materials in five EU member states: France, Germany, Italy, the Netherlands and Sweden.
Methods
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What documents were used to gather our data? The Value Landscape’s data are based on a content analysis of civic integration materials in five EU member states: France, Germany, Italy, the Netherlands and Sweden. In order to be able to compare these values to those promoted at EU level, we included the values defined in Art. 2 of the Treaty on European Union, which form the basis of the EU’s common values framework.
The data were collected from civic integration materials that were used as part of a mandatory immigrant integration programme and/or were issued by the state authority centrally responsible for immigrant integration. How did we code statements on values? To arrive at the value statements we base our analysis on, we scanned the material for sentences that fulfil two criteria: (1) They suggest that a particular normative commitment is universally held or at least dominant within the society in question, and (2) they imply that the immigrants addressed should share these commitments.
The dataset was created in 2019.
Links
Where it is published
- Dataverse dataset page data.tu-dortmund.de/dataset.xhtml?persistentId=doi%3A10.71955%2FDUEDATA-2026-MLAXL… ↗
landing page · from data tu dortmund de
- DOI doi.org/10.71955/duedata-2026-mlaxlbgk ↗
DOI / persistent id · from data tu dortmund de
Catalogue records · 1
- Dataverse API data.tu-dortmund.de/api/datasets/:persistentId/?persistentId=doi%3A10.71955%2FDUED… ↗
metadata API · from data tu dortmund de
Topics
- Stated by source
- Arts and Humanities
- From keywords
- Chemistry · Engineering · Humanities · Mathematics & Statistics · Social Science
Provenance · 1 source records, 12 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| TUDOdata | doi:10.71955/DUEDATA-2026-MLAXLBGK | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].dataverse_subject:arts-and-humanities | source · data tu dortmund de | connector:data_tu_dortmund_de@1.0.0 | /subjects |
| concepts[field].local:field:chemistry | mapping · data tu dortmund de | connector:data_tu_dortmund_de@1.0.0 | /subjects |
| concepts[field].local:field:engineering | mapping · data tu dortmund de | connector:data_tu_dortmund_de@1.0.0 | /subjects |
| concepts[field].local:field:humanities | mapping · data tu dortmund de | connector:data_tu_dortmund_de@1.0.0 | /subjects |
| concepts[field].local:field:mathematics-statistics | mapping · data tu dortmund de | connector:data_tu_dortmund_de@1.0.0 | /subjects |
| concepts[field].local:field:social-science | mapping · data tu dortmund de | connector:data_tu_dortmund_de@1.0.0 | /subjects |
| created_date | source · data tu dortmund de | connector:data_tu_dortmund_de@1.0.0 | |
| description | source · data tu dortmund de | connector:data_tu_dortmund_de@1.0.0 | /description |
| publication_date | source · data tu dortmund de | connector:data_tu_dortmund_de@1.0.0 | |
| title | source · data tu dortmund de | connector:data_tu_dortmund_de@1.0.0 | /name |
| updated_date | source · data tu dortmund de | connector:data_tu_dortmund_de@1.0.0 | |
| version_label | source · data tu dortmund de | connector:data_tu_dortmund_de@1.0.0 |