Open data for spatial public health research
Cite this dataset
Peters, Manuela; Zeeb, Hajo (2022). Open data for spatial public health research [Dataset]. Dryad. https://doi.org/10.5061/dryad.djh9w0w1f
Abstract
Background
Preventive and health-promoting policies can guide (place and space-specific) factors influencing human health, such as the physical and social environment. Required is data that can lead to a more nuanced decision-making process and identify both, existing and future challenges. Along with the rise of new technologies, and thus the multiple opportunities to use and process data, new options have emerged to measure and monitor factors that affect health. Thus, in recent years, several gateways for open data (including governmental and geospatial data) became available. At present, an increasing number of research institutions as well as (state and private) companies and citizens' initiatives provide data. However, there is a lack of overviews covering the range of such offerings regarding health. In particular, for geographically differentiated analyses, there are challenges related to data availability at different spatial levels and the growing number of data providers.
Objectives
To provide an overview of open data resources available in the context of space and health to date. It also describes the technical and legal conditions for using open data
Results
An up-to-date summary of results including information on relevant data access and terms of use is provided along with a web visualization. All data is available for further use under an open license.
Methods
The selection of relevant explanatory determinants is based on theoretical models. Since the aim of the project is to capture current practice initiatives and hardly any scientific research is available for this context so far, availability of relevant data is examined using a simple web search (Google) and complemented by reviewing references on relevant websites as well as in catalogs and data portals. Based on a snapshot of the current situation, data sources are identified and classified according to theoretical dimensions following a definitional introduction to OD and a description of the conceptual framework. For this purpose, existing freely available datasets (e.g., web visualizations), have been adapted and extended to the new topic.
Usage notes
opendata_eng.csv
Code | Designation | Description |
ID | ID | ID |
range | Range | Area covered by the data |
URL | URL | URL of the data provider |
title | Title | Title of the website |
descr | Description | Content of the website |
admin_l | administrative level | Reach of data within Germany on administrative level |
loc | location | geocoded location of the data provider |
soc | socioeconomic data | are data from this subject area available at data provider (YES/NO) |
acc | Accessibility and access to health-related resources | are data from this subject area available at data provider (YES/NO) |
phys | data related to the physical dimension | Data from this subject area is available at data provider (YES/NO) |
clim_ev | data related to climate and environment | Data from this subject area are available at data provider (YES/NO) |
porttypw | portal type | Additional display option for specifying the portal types |
offsta | official statistics | Origin of data from specified portal type (YES/NO) |
subjda | subject data | Origin of data from specified portal type (YES/NO) |
opendp | Open Data Portel | Origin of data from specified portal (YES/ NO) |
geodp | Geodata portal | Origin of data from specified portal (YES/ NO) |
geod | Geodata available | in case geodata is available (yes) |
lon | Longitude | Geographical coordinates |
lat | Latitude | Geographical coordinates |
checked | checked | Last check of the data source (date) |
licence | License | Information on legal terms of use (if applicable) |
Note: A number of coordinates have been shifted to avoid overlapping in the visualization.
Abbreviations: NRW = North Rhine-Westphalia, MV = Mecklenburg-Western Pomerania
opendata_deu.csv
Code | Bezeichnung | Beschreibung |
ID | ID | ID |
Reichw | Reichweite | Reichweite der Daten |
URL | URL | URL des Datenanbieters |
Titel | Titel | Titel der Website |
Beschr | Beschreibung | Inhalt der Website |
admin_E | administrative Ebene | Reichweite der Daten innerhalb Deutschland auf administrativer Ebene |
Sitz | Sitz | geokodierter Standort des Datenanbieters |
sozioek | soziooekonomische Daten | sind Daten aus diesem Themenbereich bei Datenanbieter vorhanden (JA/NEIN) |
ereichb_zug | Erreichbarkeit und Zugang zu gesundheitsrelevanten Ressourcen | sind Daten aus diesem Themenbereich bei Datenanbieter vorhanden (JA/NEIN) |
phys | Daten im Kontext der physischen Dimension | sind Daten aus diesem Themenbereich bei Datenanbieter vorhanden (JA/NEIN) |
klima_umwelt | klima- und umweltrelevante Daten | sind Daten aus diesem Themenbereich bei Datenanbieter vorhanden (JA/NEIN) |
Portaltyp | Portaltyp | zusätzliche Darstellungsmöglichkeit für Angabe der Portaltypen |
amsta | amtliche Statistik | Herkunft der Daten aus genanntem Portaltyp (JA/ NEIN) |
fachda | Fachdaten | Herkunft der Daten aus genanntem Portaltyp (JA/ NEIN) |
opendp | Open Data Portal | Herkunft der Daten aus genanntem Portaltyp (JA/ NEIN) |
geodp | Geodatenportal | Herkunft der Daten aus genanntem Portaltyp (JA/ NEIN) |
Geod | Geodaten vorhanden | falls Geodaten vorhanden sind (ja) |
lon | Longitude | geographische Koordinatenangabe |
lat1 | Latitude | geographische Koordinatenangabe |
geprüft | geprüft | Letzte Prüfung der Datenquelle (Datum) |
Lizenz | Lizenz | Angabe zu rechtlichen Nutzungsbedingungen (falls ersichtlich) |
Hinweis: Einige Koordinaten wurden verschoben, um Überschneidungen in der Visualisierung zu vermeiden.
Abkürzungen: NRW = Nordrhein-Westfalen, MV = Mecklenburg-Vorpommern
Funding