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Data Management, the Pathway to Nigerian Development

Received: 20 November 2020    Accepted: 21 January 2021    Published: 24 August 2021
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Abstract

A juxtaposition on Knowledge Economy as it relates to Nigerian economic condition where there is need to fully approach data-intensive innovations and programs in the attendant condition as it is germane to engender increased goods and services via production to an expanded GDP, economic growth cum development. An economic paradigm needed for the welfare of the citizenry, more importantly, for equitable distribution of resources as in resonance with Development Economics cum Knowledge Economy as branches of Economics that can transform an economy positively from a position of inadequate structures to a level of maximum capacity utilization, that is why this work seek to test if there is any significant relationship between data management and economic development in the selected economies by translating to increase in aggregate demand, investment and reduction in unemployment rate precisely in the developed or OECD economies relative to Nigeria as the economy in perspective. The work theoretically attempted to use Gross Domestic Product, GDP as the exogenous variable which is being impacted by data management as the endogenous variable using Ordinary Least Square, OLS methodology to evaluate if any correlating or significant relationship exist between GDP of an economy and information management in the face of feasible data policy. Therefore, this work posited that Data collection, management and storage with requisite policy in place can help the Nigerian economy achieve its full economic potential, capacity building and capacity utilization.

Published in Science Research (Volume 9, Issue 4)
DOI 10.11648/j.sr.20210904.15
Page(s) 69-74
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Economic Importance of Data Management, Data Policy and Economic Implications, Feasible Data Policy in Nigeria, Data Management and Nigerian Growth, Information Technology’s Impact on Economies, Database Technology in Economic Development, Information Management and Nigerian Stability

References
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[2] Dan Ciuriak. (2018). The Economics of Data: Implications for the Data-driven Economy. March 5, 2018. Retrieved from https://www.cigionline.org/articles/economics-data-implications-data-driven-economy
[3] European Data Portal. (2017). The economic benefits of Open Data. 06 December 2017. Retrieved from https://www.europeandataportal.eu/en/highlights/economic-benefits-open-data
[4] EU Data Protection Rules. 24 July, 2019. European Commission. European Union. Retrieved from https://ec.europa.eu/info/law/law-topic/data-protection/eu-data-protection-rules_en
[5] Hunton Andrew Kurth. April 5, 2019). Nigeria Issues New Data Protection Regulation. Privacy & Information Security Law Blog. Global Privacy and Cybersecurity Law Updates and Analysis. From https://www.hutonprivacyblog.com/2019/04/05/nigeria-issues-new-data-protection-regulation.
[6] Joseph Kennedy. (n.d) Big Data’s Economic Impact. The Committee for Economic Development (CED). Retrieved from https://www.ced.org/blog/entry/big-datas-economic-impact
[7] Janet I. Cord (March 4, 2018), Ladas & Parry, January 2018 Commission Guidance on the General Data Protection Regulation, European Union, Law Business Research, Lexology retrieved from https://www.lexology.com/library/detail.aspx?g=h4cb694c1-df2c-4d05-a667-6f796f4fd23f
[8] Kheng Soon & Kelly Wee. (2012). Effect of ICT on World Economic Growth (Jan. 5, 2012). Available at SSRN: https://ssrn.com/abstract=1980427 or http://dx.doi.org/10.2139/ssrn.1980427
[9] Kundishora SM. (n.d). The Role of Information and Communication Technology (ICT) in Enhancing Local Economic Development and Poverty Reduction. Retrieved from https://siteresources.worldbank.org/CMUDLP/Resources/Role_ICT_paper.pdf
[10] Maryam Farhadi, Rahman Ismail, Masood Fooladi. (2012). Information and Communication Technology use and Economic Growth. Public Library of License, PLoS ONE. Doi: 10.1371/journal.pone.0048903.
[11] Michael Mandel. (2017) The Economic Impact of Data: Why Data Is Not Like Oil. JULY 2017. Retrieved from https://www.oecd.org/sti/inno/data-driven-innovation-interim-synthesis.pdf
[12] OECD (2014). Data-driven Innovation for Growth and Well-being. October 2014. Interim Synthesis Report. Retrieved from/; https://www.oecd.org/sti/inno/data-driven-innovation-interim-synthesis.pdf
[13] Privacy international, (28th January, 2018): Data Protection Day 2018, A Global Perspective to Privacy. Retrieved from https://privacyinternational.org/news-analysis/1080/data-protection-day-2018-global-perspective-privacy
[14] Rachel Wheeler. (October 2, 2013). Data Analysis Leads to Economic Growth in Developing Nations. Retrieved from https://www.edq.com/blog/data-analysis-leads-to-economic-growth-in-developing-nations/
[15] Richards Heeks. (2010). Do Information and Communication Technologies Contribute To Economic Growth, Journal Of International Development, 22 (5), 625-640, October 2010, doi: 10.1002/jid.1716. Source RePEc.
[16] Saima Khan, Shazia Khan and Mohsina Aftab. (2015). Digitization and its Impact on Economy. Journal of Digital Library Services. ISSN: 2250-1142 (online), ISSN: 2349-302X (print).
[17] World Wide Web Foundation: Personal Data Protection in Nigeria (March, 2018), webfoundation.org, retrieved from http://webfoundation.org/docs/2018/03/WF_Nigeria_Full-Report_Screen_AW.pdf
[18] Ysmail Seki. (2008). The Importance of ICT for the Knowledge Economy: A Total Factor Productivity Analysis for Selected OECD Countries. Ideas RePEc. Handle: RePEc: izm: prcdng: 200804. Retrieved from https://ideas.repec.org/h/izm/prcdng/200804.html
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    Odebola Taiwo James. (2021). Data Management, the Pathway to Nigerian Development. Science Research, 9(4), 69-74. https://doi.org/10.11648/j.sr.20210904.15

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    Odebola Taiwo James. Data Management, the Pathway to Nigerian Development. Sci. Res. 2021, 9(4), 69-74. doi: 10.11648/j.sr.20210904.15

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    Odebola Taiwo James. Data Management, the Pathway to Nigerian Development. Sci Res. 2021;9(4):69-74. doi: 10.11648/j.sr.20210904.15

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  • @article{10.11648/j.sr.20210904.15,
      author = {Odebola Taiwo James},
      title = {Data Management, the Pathway to Nigerian Development},
      journal = {Science Research},
      volume = {9},
      number = {4},
      pages = {69-74},
      doi = {10.11648/j.sr.20210904.15},
      url = {https://doi.org/10.11648/j.sr.20210904.15},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sr.20210904.15},
      abstract = {A juxtaposition on Knowledge Economy as it relates to Nigerian economic condition where there is need to fully approach data-intensive innovations and programs in the attendant condition as it is germane to engender increased goods and services via production to an expanded GDP, economic growth cum development. An economic paradigm needed for the welfare of the citizenry, more importantly, for equitable distribution of resources as in resonance with Development Economics cum Knowledge Economy as branches of Economics that can transform an economy positively from a position of inadequate structures to a level of maximum capacity utilization, that is why this work seek to test if there is any significant relationship between data management and economic development in the selected economies by translating to increase in aggregate demand, investment and reduction in unemployment rate precisely in the developed or OECD economies relative to Nigeria as the economy in perspective. The work theoretically attempted to use Gross Domestic Product, GDP as the exogenous variable which is being impacted by data management as the endogenous variable using Ordinary Least Square, OLS methodology to evaluate if any correlating or significant relationship exist between GDP of an economy and information management in the face of feasible data policy. Therefore, this work posited that Data collection, management and storage with requisite policy in place can help the Nigerian economy achieve its full economic potential, capacity building and capacity utilization.},
     year = {2021}
    }
    

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    AU  - Odebola Taiwo James
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    PY  - 2021
    N1  - https://doi.org/10.11648/j.sr.20210904.15
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    AB  - A juxtaposition on Knowledge Economy as it relates to Nigerian economic condition where there is need to fully approach data-intensive innovations and programs in the attendant condition as it is germane to engender increased goods and services via production to an expanded GDP, economic growth cum development. An economic paradigm needed for the welfare of the citizenry, more importantly, for equitable distribution of resources as in resonance with Development Economics cum Knowledge Economy as branches of Economics that can transform an economy positively from a position of inadequate structures to a level of maximum capacity utilization, that is why this work seek to test if there is any significant relationship between data management and economic development in the selected economies by translating to increase in aggregate demand, investment and reduction in unemployment rate precisely in the developed or OECD economies relative to Nigeria as the economy in perspective. The work theoretically attempted to use Gross Domestic Product, GDP as the exogenous variable which is being impacted by data management as the endogenous variable using Ordinary Least Square, OLS methodology to evaluate if any correlating or significant relationship exist between GDP of an economy and information management in the face of feasible data policy. Therefore, this work posited that Data collection, management and storage with requisite policy in place can help the Nigerian economy achieve its full economic potential, capacity building and capacity utilization.
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Author Information
  • Department of Economics, Near East University, Lefkosa, North Cyprus

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