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Article type: Research Article
Authors: Bersales, Lisa Grace S.a; b; * | Almeda, Josefina V.a; b | Romasoc, Sabrina O.a | Martinez, Marie Nadeen R.a | Galias, Dannela Jann B.a
Affiliations: [a] Philippine Statistical Research and Training Institute, Quezon City, Metro Manila, Philippines | [b] School of Statistics, University of the Philippines Diliman, Quezon City, Metro Manila, Philippines
Correspondence: [*] Corresponding author: Lisa Grace S. Bersales, Philippine Statistical Research and Training Institute, 7th Floor, South Insula Condominium, 61 Timog Ave., Brgy. South Triangle, Quezon City, Metro Manila, 1103, Philippines. Tel.: +63 2 8426 0620; %****␣sji-37-sji210826_temp.tex␣Line␣25␣**** E-mail: [email protected].
Abstract: With the advancement of technology, digitalization, and the internet of things, large amounts of complex data are being produced daily. This vast quantity of various data produced at high speed is referred to as Big Data. The utilization of Big Data is being implemented with success in the private sector, yet the public sector seems to be falling behind despite the many potentials Big Data has already presented. In this regard, this paper explores ways in which the government can recognize the use of Big Data for official statistics. It begins by gathering and presenting Big Data-related initiatives and projects across the globe for various types and sources of Big Data implemented. Further, this paper discusses the opportunities, challenges, and risks associated with using Big Data, particularly in official statistics. This paper also aims to assess the current utilization of Big Data in the country through focus group discussions and key informant interviews. Based on desk review, discussions, and interviews, the paper then concludes with a proposed framework that provides ways in which Big Data may be utilized by the government to augment official statistics.
Keywords: Big Data, official statistics, opportunities, challenges, risks, framework, key informant interviews, focus group discussions
DOI: 10.3233/SJI-210826
Journal: Statistical Journal of the IAOS, vol. 37, no. 4, pp. 1347-1377, 2021
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