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QUALITY ANALYSIS OF DATA IN PUBLIC AND PRIVATE STATISTICS, IN LIGHT OF BIG DATA IMPLEMENTATION

Fernando Ariel Manzano and Daniela Avalos
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Fernando Ariel Manzano: Instituto de Geografía, Historia y Ciencias Sociales (IGEHCS)
Daniela Avalos: Facultad de Ciencias Sociales, Universidad de Buenos Aires, Argentina.

Revista Ciencias Administrativas (CADM), IIA, Universidad Nacional de La Plata, 2023, issue 22, No 2, 11 pages

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

Keywords: Big Data; data quality; official statistics; private statistics; privacy; data privacy. (search for similar items in EconPapers)
JEL-codes: C00 Y10 (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:lap:recadm:177

DOI: 10.24215/23143738e119

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