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Quantinar: a blockchain peer-to-peer ecosystem for modern data analytics

Author

Listed:
  • Raul Bag

    (Humboldt-Universität zu Berlin
    Bucharest University of Economic Studies)

  • Bruno Spilak

    (Humboldt-Universität zu Berlin
    Bucharest University of Economic Studies)

  • Julian Winkel

    (Humboldt-Universität zu Berlin)

  • Wolfgang Karl Härdle

    (Humboldt-Universität zu Berlin
    Bucharest University of Economic Studies
    Singapore Management University
    NUS)

Abstract

The power of data and correct statistical analysis has never been more prevalent. Academics and practitioners require nowadays an accurate application of quantitative methods. Yet many branches are subject to a crisis of integrity, which is shown in an improper use of statistical models, p-hacking, HARKing, or failure to replicate results. We propose the use of a Peer-to-Peer (P2P) ecosystem based on a blockchain network, Quantinar , to support quantitative analytics knowledge paired with code in the form of Quantlets or software snippets. The integration of blockchain technology allows Quantinar to ensure fully transparent and reproducible scientific research.

Suggested Citation

  • Raul Bag & Bruno Spilak & Julian Winkel & Wolfgang Karl Härdle, 2025. "Quantinar: a blockchain peer-to-peer ecosystem for modern data analytics," Computational Statistics, Springer, vol. 40(3), pages 1361-1396, March.
  • Handle: RePEc:spr:compst:v:40:y:2025:i:3:d:10.1007_s00180-024-01529-7
    DOI: 10.1007/s00180-024-01529-7
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    References listed on IDEAS

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    1. Christoph Bartneck & Servaas Kokkelmans, 2011. "Detecting h-index manipulation through self-citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(1), pages 85-98, April.
    2. James J. Heckman & Sidharth Moktan, 2020. "Publishing and promotion in economics - The tyranny of the Top Five," Vox eBook Chapters, in: Sebastian Galliani & Ugo Panizza (ed.), Publishing and Measuring Success in Economics, edition 1, volume 1, chapter 1, pages 23-32, Centre for Economic Policy Research.
    3. Glenn Ellison, 2011. "Is Peer Review In Decline?," Economic Inquiry, Western Economic Association International, vol. 49(3), pages 635-657, July.
    4. Stephan B Bruns & John P A Ioannidis, 2016. "p-Curve and p-Hacking in Observational Research," PLOS ONE, Public Library of Science, vol. 11(2), pages 1-13, February.
    5. Jonathan Albright, 2017. "Welcome to the Era of Fake News," Media and Communication, Cogitatio Press, vol. 5(2), pages 87-89.
    6. Jonathan Albright, 2017. "Welcome to the Era of Fake News," Media and Communication, Cogitatio Press, vol. 5(2), pages 87-89.
    7. Campbell R. Harvey, 2017. "Presidential Address: The Scientific Outlook in Financial Economics," Journal of Finance, American Finance Association, vol. 72(4), pages 1399-1440, August.
    8. Zharova, Alona & Härdle, Wolfgang Karl & Lessmann, Stefan, 2023. "Data-driven support for policy and decision-making in university research management: A case study from Germany," European Journal of Operational Research, Elsevier, vol. 308(1), pages 353-368.
    9. Vicente-Saez, Ruben & Martinez-Fuentes, Clara, 2018. "Open Science now: A systematic literature review for an integrated definition," Journal of Business Research, Elsevier, vol. 88(C), pages 428-436.
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