Transparency International, Transparency.org
Topics: Data Collection, Corruption Diagnosis
There are two fundamental issues to tackle when measuring corruption and data collection. One, how can we measure corruption? And two, why is it so difficult to measure corruption? Some say, not everything that counts can be counted and not everything that can be counted counts. This is true for corruption by nature. Corruption is a complex issue that is hard to describe. Corruption diagnosis comes in a wide range of practices and behaviours and a single measurement cannot capture the various forms and dimensions of corruption. For instance, the number of corruptions related to convictions might reflect the strategies of law enforcement rather than the level of corruption itself. Objective data is difficult to obtain, making it challenging to collect evidence. It is difficult to get changes in the levels of corruption to specific anti-corruption reforms or interventions. There is a time lag between policy implementation and policy impact, and it is hard to capture year by year progress in control of corruption in a reliable way. Despite challenges, measuring corruption is not impossible because for the last 30 years, measuring corruption has relied on experts. Some experts consider measuring street level bribery rather than the more sophisticated forms of corruption, such as embezzlement or money laundering, gather a better understanding of the issues. Data production is used to help understand how data is used to measure corruption and is an ongoing process from issues defining the analysis of data collection and to develop and use data strategically. To process the corruption diagnosis risks in hospitals and supply chains, the objective determines the type of data needed to be collected. Once the issue is defined and established, the next step is to identify your data. Measuring changes to check that the data sources are working to enable progress and is consistent in developing a data collection methodology and to address the data needs that have been identified in a wide range of understanding. Methodologies can have strengths and weaknesses. To capture citizens’ experiences of corruption, a public survey could provide the necessary data. In a public opinion survey, the objective in corruption diagnosis, is to use tools like risk assessments, citizen report cards, social audits, public expenditure, tracking surveys is helpful in systematically gathering, accurate, robust, and quality evidence. The information is meaningful when using statistical and analytical tools. The data analysis stage is to link findings and to reform action because it is important to develop policy recommendations that can be understood. To present data and to ensure it will be used by the targeted audience helps in the phase of disseminating the data. All the steps of the data collection cycle help to focus on measuring the process. Lessons accompany the data production cycle with indicators and data sets to breakdown techniques and strategies.