Living in the Information Age, 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 (quantinar.com), to support quantitative analytics knowledge paired with code in the form of Quantlets (quantlet.com) or software snippets. The integration of blockchain technology makes Quantinar a decentralized autonomous organization (DAO) that ensures fully transparent and reproducible scientific research.
@article{arxiv.2211.11525,
title = {Quantinar: a blockchain p2p ecosystem for honest scientific research},
author = {Raul Bag and Bruno Spilak and Julian Winkel and Wolfgang Karl Härdle},
journal= {arXiv preprint arXiv:2211.11525},
year = {2023}
}