Survey Research in Times of Big Data

  1. Cabrera-Álvarez, Pablo
Revista:
Empiria: Revista de metodología de ciencias sociales

ISSN: 1139-5737

Año de publicación: 2022

Título del ejemplar: El Big data en las ciencias sociales

Número: 53

Páginas: 31-51

Tipo: Artículo

DOI: 10.5944/EMPIRIA.53.2022.32611 DIALNET GOOGLE SCHOLAR lock_openDialnet editor

Otras publicaciones en: Empiria: Revista de metodología de ciencias sociales

Resumen

La encuesta es la técnica de investigación predominante en la investigación en Ciencias Sociales. Sin embargo, la aparición de otras fuentes de datos como las publicaciones en redes sociales o los datos generados por GPS suponen nuevas oportunidades para la investigación. En este escenario, algunas voces han defendido la idea de que, debido a su menor coste y la velocidad a la que se generan, los big data irán sustituyendo progresivamente a los datos de encuesta. Sin embargo, este optimismo contrasta con los problemas de calidad y accesibilidad que presentan los big data como la fata de cobertura de algunos grupos de la población o el acceso restringido a alguna de estas fuentes. Este artículo, a partir de una revisión profunda de la literatura de los últimos años, explora como la cooperación entre los big data y las encuestas resulta en mejoras significativas de la calidad de los datos y una reducción de los costes. Nowadays, while surveys still dominate the research landscape in social sciences, alternative data sources such as social media posts or GPS data open a whole range of opportunities for researchers. In this scenario, some voices advocate for a progressive substitution of survey data. They anticipate that big data, which is cheaper and faster than surveys, will be enough to answer relevant research questions. However, this optimism contrasts with all the quality and accessibility issues associated with big data such as the lack of coverage or data ownership and restricted accessibility.  The aim of this paper is to explore how, nowadays, the combination of big data and surveys results in significant improvements in data quality and survey costs.

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Información de financiación

El proyecto que ha generado estos resultados ha contado con el apoyo de una beca de la Fundaci?n Bancaria?la Caixa? (ID 100010434), cuyo c?digo es LCF/BQ/ES16/11570005

Financiadores

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