CO.R.E DASHBOARD
The CO.R.E dashboard allows you to navigate between
different visualizations that show the indicators of corruption risk in emergency in different European countries..
The indicators for Italy are currently available for three emergencies (Covid-19, earthquakes in Central Italy, forest fires) and for Ireland, Portugal and Spain for the Covid-19 emergency only. We plan to include other countries and other emergencies in the future, so if you use the dashboard, please give us your feedback so we can try to improve its functionality.
VIDEO TUTORIAL - CO.R.E DASHBOARD
CO.R.E METHODOLOGY
CO.R.E focuses on assessing the risk of corruption in public procurement, one of the key objectives of the European agenda.
The project created a replicable procedure for the construction of corruption risk indicators in emergency periods, which can be used by national anti-corruption agencies, law enforcement agencies, investigative journalism networks, media and citizens, starting from the collection and cross processing of data on public procurement.
The project team provides practical guides, software codes, real data examples and the dashboard with interactive maps.
CO.R.E aims to enhance earlier detection of corruption risk through big data techniques and a data evidence-based approach constructing a
Composite Indicator (CI)
of corruption risk as a new tool to analyse data for preventing corruption, useful for the public sector and for the private one.
CORESOI
R PACKAGE
The goal of
coresoi
is to provide a
sandbox environment
for researchers and anti-corruption analysts to interact with the indicators of corruption risk in public procurement over emergencies we’ve designed.
Clearly, the use of the coresoi R package by external beneficiaries requires some level of familiarity with the R coding language.
However, in order to facilitate its adoption by external users, the package includes guides, tools and other documents that are meant to
facilitate its effective adoption and by transmitting the necessary know-how.
