  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.
