multi-source data collection
[ˈmʌlti ˈsɔːrs ˈdeɪtə kəˈlɛkʃən]
noun
coleta de dados de múltiplas fontes
1. The process of gathering information or data from various independent sources, databases, or systems to create a comprehensive dataset
The research team employed multi-source data collection to ensure accuracy by combining surveys, interviews, and administrative records.
A equipe de pesquisa empregou coleta de dados de múltiplas fontes para garantir precisão, combinando pesquisas, entrevistas e registros administrativos.
2. A methodology in data science and research that integrates information from different origins to improve data quality and comprehensiveness
Multi-source data collection allows organizations to reduce bias by cross-referencing information from different channels.
A coleta de dados de múltiplas fontes permite que as organizações reduzam viés ao fazer referência cruzada de informações de diferentes canais.
This term is widely used in Brazilian technology, academic research, and business intelligence sectors. In corporate environments, multi-source data collection is considered a best practice for analytics and decision-making. The concept reflects modern data-driven culture that values comprehensive, validated information over single-source reporting. In Portugal, the European Portuguese term 'recolha' is preferred, though 'coleta' is increasingly understood due to globalization and tech industry influence.
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