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Open data for spatial public health research

Citation

Peters, Manuela; Zeeb, Hajo (2022), Open data for spatial public health research, Dryad, Dataset, 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