• DocumentCode
    2466822
  • Title

    Qualitocracy: A data quality collaborative framework applied to citizen science

  • Author

    Antelio, Marcio ; Esteves, Maria Gilda P ; Schneider, Daniel ; de Souza, Jano M.

  • Author_Institution
    Grad. Sch. of Eng., Fed. Univ. of Rio de Janeiro, Rio de Janeiro, Brazil
  • fYear
    2012
  • fDate
    14-17 Oct. 2012
  • Firstpage
    931
  • Lastpage
    936
  • Abstract
    Citizen science projects generally use the Web platform to promote scientific research and recruit volunteers to assist them. Through a crowdsourcing platform, a large amount of data is submitted and some factors may lead the scientific community to doubt the seriousness of some projects. This may be due to the unreliability of data collected on a voluntary basis and the absence of criteria for quality control of the submitted data. Our main research goal is to propose a collaborative framework for improving data quality. By associating data quality dimensions to scientists through a voting network, we aim to create a continuous process for data quality validation.
  • Keywords
    Internet; groupware; natural sciences computing; quality control; Web platform; citizen science project; crowdsourcing platform; data quality collaborative framework; data quality improvement; data quality validation; qualitocracy; quality control; scientific community; scientific research; voting network; Conferences; Cybernetics; citizen science; collaborative framework; crowdsourcing; data quality;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics (SMC), 2012 IEEE International Conference on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-1-4673-1713-9
  • Electronic_ISBN
    978-1-4673-1712-2
  • Type

    conf

  • DOI
    10.1109/ICSMC.2012.6377847
  • Filename
    6377847