Automated reconstruction of colombian public procurement traceability
In Colombia different open government data projects have been developed to improve transparency and enhance citizenship envolvement and audit in governmental decision-making processes. We propose a methodology to automatically reconstruct the contracting chain of inter-administrative contracts, usin...
- Autores:
-
Montes Martín, Laura Melissa
- Tipo de recurso:
- Fecha de publicación:
- 2019
- Institución:
- Universidad de los Andes
- Repositorio:
- Séneca: repositorio Uniandes
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.uniandes.edu.co:1992/34854
- Acceso en línea:
- http://hdl.handle.net/1992/34854
- Palabra clave:
- Contratos públicos - Auditoría - Investigaciones - Colombia
Metodología en auditoría - Investigaciones - Colombia - Estudio de casos
Distancia de Levenshtein - Aplicaciones - Investigaciones
Similitud coseno - Aplicaciones - Investigaciones
Ingeniería
- Rights
- openAccess
- License
- https://repositorio.uniandes.edu.co/static/pdf/aceptacion_uso_es.pdf
| Summary: | In Colombia different open government data projects have been developed to improve transparency and enhance citizenship envolvement and audit in governmental decision-making processes. We propose a methodology to automatically reconstruct the contracting chain of inter-administrative contracts, using the open contracting database SECOP. We perform the traceability with two approximate string matching techniques: Levenshtein distance and cosine similarity. Using the public entity INVIAS as our study case, we select a random set of contracts to analyze the accuracy and computational performance of each technique. Our automated reconstruction of the contracting chain facilitates the implementation of mechanisms that increase the citizenship involvement in governmental processes. |
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