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Quality Analysis Of Data In Public And Private Statistics, In Light Of Big Data Implementation

Author

Listed:
  • Fernando Ariel Manzano

    (Instituto de Geografía, Historia y Ciencias Sociales (IGEHCS))

  • Daniela Avalos

    (Facultad de Ciencias Sociales, Universidad de Buenos Aires, Argentina.)

Abstract

The increase of data storage and exploitation since the progress of digital mediation technologies, generated changes in data management, as well as presented new challenges in relation to the quality of the data. Based on a broad search for specialized information., this current exploratory study aims to describe the different assessments regarding the quality of the data in the production of public statistics environment and in the private business sector through the examination in particular of the changes produced in the framework of statistical quality in both contexts, based on the potentialities of managing the use of Big Data

Suggested Citation

  • Fernando Ariel Manzano & Daniela Avalos, 2023. "Quality Analysis Of Data In Public And Private Statistics, In Light Of Big Data Implementation," Revista Ciencias Administrativas (CADM), IIA, Universidad Nacional de La Plata, Instituto de Investigaciones Administrativas, Facultad de Ciencias Económicas, Universidad Nacional de La Plata, issue 22, pages 1-11, July-Dece.
    • Handle: RePEc:lap:recadm:177
    DOI: 10.24215/23143738e119
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    File URL: https://revistas.unlp.edu.ar/CADM/article/view/13228
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    More about this item

    Keywords

    Big Data; data quality; official statistics; private statistics; privacy; data privacy.;
    All these keywords.

    JEL classification:

    • Y10 - Miscellaneous Categories - - Data: Tables and Charts - - - Data: Tables and Charts
    • C00 - Mathematical and Quantitative Methods - - General - - - General

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