Related Experiment Video
Updated: Oct 6, 2025
05:37
An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
2.2K
Dataset for corruption risk assessment in a public administration
Marcelo Oliveira Vasconcelos1,2, Luís Cavique2,3
1Tribunal de Contas do Distrito Federal, Brasília, Brazil.
Data in Brief
|January 14, 2022
Summary
This study presents an anonymized dataset on corruption in Brazil, integrating data from eight government systems. The data includes civil servants and military personnel, ensuring privacy compliance.
Area of Science:
- Public Administration
- Criminology
- Data Science
Background:
- Corruption poses a significant challenge to governmental integrity and public trust.
- Understanding corruption requires comprehensive data on related variables and approaches.
- Existing datasets may lack integration across different governmental systems.
Purpose of the Study:
- To describe a novel dataset on corruption approaches and related variables.
- To present anonymized real-world data from Brazilian federal and district governments.
- To facilitate research on corruption by providing a consolidated data resource.
Main Methods:
- Integration of data from eight distinct Brazilian federal government and Federal District systems.
- Anonymization of personal data to comply with General Data Protection Regulation (GDPR) legislation.
- Inclusion of data pertaining to civil servants and military personnel.
Main Results:
- A comprehensive dataset detailing corruption approaches and associated variables has been compiled.
- The dataset is anonymized, safeguarding individual privacy while retaining data utility.
- The data represents a unique resource for analyzing corruption patterns in the Brazilian public sector.
Conclusions:
- The described dataset offers a valuable resource for researchers investigating corruption.
- Anonymization techniques ensure ethical data handling and compliance with privacy regulations.
- This integrated dataset can support evidence-based policymaking to combat corruption.
More Related Videos
Related Concept Videos
01:03Drug Control Governance: Regulatory Bodies and Their Impact
273
Drug control governance involves the oversight and regulation of pharmaceuticals to ensure their safety and efficacy while preventing illegal drug use and trafficking. Regulatory bodies, including the US Food and Drug Administration (FDA) and the European Union's European Medicines Agency (EMA), play a central role in this process. These agencies evaluate the safety and efficacy of drugs before they can be marketed. They fund clinical trials and assess the benefits and risks associated with...
273
01:40Archival Research
16.6K
Some researchers gain access to large amounts of data without interacting with a single research participant. Instead, they use existing records to answer various research questions. This type of research approach is known as archival research. Archival research relies on looking at past records or data sets to look for interesting patterns or relationships. For example, a researcher might access the academic records of all individuals who enrolled in college within the past ten years and...
16.6K
01:17Design Example: Analyzing Capacity Contours for Flood Risk Assessment
140
Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
140
01:25Statistical Methods for Analyzing Epidemiological Data
592
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
592
01:29Applications of GIS: Disaster Management and Emergency Response
195
Geographic Information System (GIS) technology is essential for risk identification, action prioritization, and resource optimization in critical situations like flooding and earthquakes. By integrating spatial and demographic data, GIS provides a comprehensive framework for emergency response.GIS integrates data layers, like rainfall intensity, topography, elevation profiles, and river levels, to model high-risk flood zones. These layers assess areas susceptible to flooding based on their...
195
01:15Systematic Error: Methodological and Sampling Errors
3.9K
In the case of systematic errors, the sources can be identified, and the errors can be subsequently minimized by addressing these sources. According to the source, systematic errors can be divided into sampling, instrumental, methodological, and personal errors.
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...
3.9K