Global Data Poverty
“The information on this website as well as the linked article gives a modern evaluation of the “Digital Divide” concept that was originally developed in the early days of the Internet. The research is of international interest, with implications for sustainable development. Freely available digital information and freeware could greatly enhance sustainable development and disaster risk reduction initiatives, yet most developing countries do not have sufficient access to the internet and mobile phone networks, nor expertise in ICT, to benefit.
The index that we present in this ‘proof of concept’ study is the first to quantify and moreover visualise the problem of global data poverty.
We present an innovative metric for evaluating international variations in access to digital data: the Data Poverty Index (DPI). The DPI highlights countries where support is needed for improving access to the Internet and for the provision of training in geoinfomatics. We conclude that the DPI is of value as a potential metric for monitoring the Sustainable Development Goals of the recent Sendai Framework for Disaster Risk Reduction.
We have opted to submit this paper to PLOS One because it is pioneering in Open Access format and hene a step towards reducing global data poverty.”
Dr. Richard M. Teeuw and Dr. Mathias Leidig
(click the link above to go to the website to download the article or have a read below)
Supplementary data and graphs to the article:
- For a visualisation of the results click here.
Please keep in mind to set the class boundaries as follows to get a representation similar to the one in the article:
- >3.6 – high data poverty;
- 2.4 – 3.6 – above average data poverty;
- 1.2 – 2.4 – below average data poverty;
- 0.1 – 1.2 – low data poverty
- < 0.1 – (includes 0 = no data/ no complete dataset)
- For a visualisation of the individual factors click here (will be available soon).
- Results for factor and DPI processing (data from the table can be downloaded here):
Representation as Card:
- Raw data for the processing can be downloaded here.
Further supplemental data:
The Spider Plot analyse for the average factor values (included in the paper too).
Table 4 colour coded; this was not possible in PLOS-ONE and needed to be changed.
Table 4: Comparison of input variables of global indices dealing with global disaster risk. Colour code: Green: data freely available; bold red: data not freely available; Brown italic
|Data Poverty Index
o Factors unweighted
o Values available online
|ICT Development Index 2012 
o Factors weighted;
o values only available in report
|World Bank: Index of Risk Preparation Across Countries (IRPAC) 
o Factor weighting not stated;
o Values not available
|UN World Risk Index 2014 variables 
o Factors weighted (by expert knowledge);
o Values available in report and online