With the sister company infas 360, infas experts are available to collect, process and analyze a wide variety of data sources. This allows infas to include external data sources in studies at any time.
Whether it's sampling or reconciling or augmenting survey data, infas can leverage a comprehensive complementary data pool from company nuras infas 360. The inclusion of microgeographic features in social science studies, such as infrastructure data, provides empirical research with valuable additional analysis and validation capabilities. This increases the quality and performance of a research project.
Depending on the focus of study, microgeographic data on various topics can be enriched:
- Population, sociodemography,
- Initial and continuing education,
- Labor market, social security,
- Migration, nationality,
- Building and living,
- Traffic and environmental influences.
It is also possible to add infrastructure features, such as
- Education / Schools,
- Authorities / Administration,
- Health institutions / practices / clinics,
- Retirement homes / homes for the disabled,
- Recreational facilitiesFreizeiteinrichtungen,
- Public transportation stops / roads
and their accessibility via distance calculations.
In this way, innovative approaches are available to investigate, for example, questions of participation or resource fairness. It is also possible to compare the statements of respondents with objective characteristics. However, enriching social science studies with microgeographic features also offers advantages elsewhere:
- With geo-referenced survey data and geographic information systems (GIS), analyzes of regional subpopulations or spatial phenomena can be realized. The insights gained in this way can in turn be displayed as a map or web application and thus also clarify complex issues.
- Georeferenced empirical findings can also be extrapolated on the basis of estimates (small area methods). Thus, regionally differentiated results based on comparatively small samples are possible.
- Features from the infas 360 database can be subsequently enriched to describe populations in more detail or to create segmentations. The selection of the features can be done both hypothesis-based and by means of test enrichment and checking for correlations (regression, analysis of variance).
- Last but not least, microgeographic data can help target groups with low prevalence to gain well-founded samples with significantly reduced screening effort.
In order to link the data set of a survey with data from different sources, a connecting variable is required. At infas 360, this is realized via the location reference (address or coordinate) in the form of a georeference (PAGS code). For this, the address data (random sample) of an empirical survey by geocoding are provided with the georeference. This process should be planned in advance of a research project. The dataset of infas 360 is already completely georeferenced with PAGS.
infas 360 PAGS
PAGS is a spatial planning system based on official structures. With PAGS all address-based data can be geocoded, localized and provided with a unique building key. PAGS is standardized, open (not proprietary), highly accurate, and translates to a variety of other spatial levels. Thus, the spatial planning system of infas 360 ensures the best possible interoperability and is therefore ideally suited for data exchange.
An overview of the more than 4,000 available features and the data products based on them can be found in the infas 360 data catalog.