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Modelling metadata in central banks

Author

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  • Bholat, David

Abstract

This article discusses a small scale pilot to harmonise three Bank of England statistical and regulatory data forms. The primary purpose of the pilot was to assess opportunities for improved operational efficiency in regulatory reporting. The broader purpose was to demonstrate how common data standards can be created from heterogeneous data sets. In the course of discussing the pilot, the article explains the history of how data has been collected at the Bank of England; how that process is changing in light of the Bank JEL Classification: E58, C81, G18

Suggested Citation

  • Bholat, David, 2016. "Modelling metadata in central banks," Statistics Paper Series 13, European Central Bank.
    • Handle: RePEc:ecb:ecbsps:201613
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    File URL: https://www.ecb.europa.eu//pub/pdf/scpsps/ecbsp13.en.pdf
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    References listed on IDEAS

    as
    1. Capie,Forrest, 2012. "The Bank of England," Cambridge Books, Cambridge University Press, number 9781107621695.
    2. Mike Bennett, 2013. "The financial industry business ontology: Best practice for big data," Journal of Banking Regulation, Palgrave Macmillan, vol. 14(3-4), pages 255-268, July.
    3. David M Bholat, 2013. "The future of central bank data," Journal of Banking Regulation, Palgrave Macmillan, vol. 14(3-4), pages 185-194, July.
    4. Alistair Milne, 2013. "The rise and success of the barcode: Some lessons for financial services," Journal of Banking Regulation, Palgrave Macmillan, vol. 14(3-4), pages 241-254, July.
    5. Erich Hille, 2013. "Recent developments in restructuring the Austrian banking reporting system," Journal of Banking Regulation, Palgrave Macmillan, vol. 14(3-4), pages 269-284, July.
    6. Bholat, David, 2015. "Big data and central banks," Bank of England Quarterly Bulletin, Bank of England, vol. 55(1), pages 86-93.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Antoaneta Serguieva, 2017. "Multichannel Contagion vs Stabilisation in Multiple Interconnected Financial Markets," Papers 1701.06975, arXiv.org, revised Apr 2017.
    2. Bašić, Ines, 2017. "Supervisory and statistical granular data modelling at the Croatian National Bank," Statistics Paper Series 25, European Central Bank.
    3. Antoaneta Serguieva & David Bholat, 2017. "Multichannel contagion vs stabilisation in multiple interconnected financial markets," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Statistical implications of the new financial landscape, volume 43, Bank for International Settlements.
    4. Abdulrahman Alrabiah & Steve Drew, 2020. "Proactive Management of Regulatory Policy Ripple Effects via a Computational Hierarchical Change Management Structure," Risks, MDPI, vol. 8(2), pages 1-29, May.

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    More about this item

    Keywords

    Bank of England; central banks; data standards; metadata; regulatory reporting;
    All these keywords.

    JEL classification:

    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation

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