Control de calidad en sistemas crowdsourcing: un mapeo sistemático


Authors

  • Paulo Andrés Vélez Centro de Bioinformatica y Biologia Computacional - BIOS
  • Andrés Rey Piedrahita Uceva

DOI:

https://doi.org/10.22517/23447214.13541

Keywords:

Crowdsourcing, Quality assurance, Quality control, Systematic mapping.

Abstract

The web 2.0 have been easing the implementation of an
effective model denominated crowdsourcing to find solutions for
given situations. This model pretend to take the advantages,
capacities and proficiency of a group of people (from few ones to
thousands of peoples) to solve some tasks. The crowdsourcing is
not a new concept, but thanks to information and communications
technologies (ICT) it is evolving in the same way as the new ICT
have been develop and applied. Currently, the crowdsourcing is
using in data acquiring process and information generation,
establishing a new perspective in the knowledge management
field. The present work shows the results of a systematic mapping
did to literature review, with the purpose to recognize or learn
about several proposed mechanisms to ensure quality results
within crowdsourcing systems and research opportunities around
this topic.

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Author Biography

Paulo Andrés Vélez, Centro de Bioinformatica y Biologia Computacional - BIOS

Ingeniero Electrónico - Universidad del Valle

Magister en Instrumentación física - Universidad Tecnológica de Pereira

Investigador de BIOS

Docente en:

Unidad Central del Valle del Cauca

Universidad del Valle

Areas de trabajo: Conocimientos técnicos, en el área del procesamiento digital de señales, telecomunicaciones, administración de redes de comunicación, programación y control inteligente.

 

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Published

2017-03-30

How to Cite

Vélez, P. A., & Rey Piedrahita, A. (2017). Control de calidad en sistemas crowdsourcing: un mapeo sistemático. Scientia Et Technica, 22(1), 73–82. https://doi.org/10.22517/23447214.13541

Issue

Vol. 22 No. 1 (2017)

Section

Sistemas y Computación

License

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