Cryptographic Methods with a Pli Cachete: Towards the Computational Assurance of Integrity

In Gerhard R. Joubert Ian Foster (ed.), Advances in Parallel Computing. Amsterdam: IOS Press. pp. 10 (2020)
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Abstract

Unreproducibility stemming from a loss of data integrity can be prevented with hash functions, secure sketches, and Benford's Law when combined with the historical practice of a Pli Cacheté where scientific discoveries were archived with a 3rd party to later prove the date of discovery. Including the distinct systems of preregistation and data provenance tracking becomes the starting point for the creation of a complete ontology of scientific documentation. The ultimate goals in such a system--ideally mandated--would rule out several forms of dishonesty, catch computational and database errors, catch honest mistakes, and allow for automated data audits of large collaborative open science projects.

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Thatcher Collins
University of Washington

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