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Certifying provenance of scientific datasets with self-sovereign identity and verifiable credentials

Barclay, Iain, Preece, Alun and Taylor, Ian 2020. Certifying provenance of scientific datasets with self-sovereign identity and verifiable credentials. Presented at: 12th International Workshop on Science Gateways (IWSG 2020), Virtual, 10-12 June 2020.

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Abstract

In order to increase the value of scientific datasets and improve research outcomes, it is important that only trustworthy data is used. This paper introduces mechanisms by which scientists and the organisations they represent can certify the authenticity of characteristics and provenance of published datasets so that secondary users can inspect and gain confidence in the qualities of data sources. By drawing on data models and protocols emerging to provide self-sovereign ownership of identity and personal data to individuals, we conclude that providing self-sovereignty to digital assets offers a promising approach for institutions to certify qualities of their datasets in a cryptographically secure manner, and enables secondary data users to efficiently perform verification of the authenticity of such certifications. By building upon emerging standards for decentralized identification and cryptographically verifiable credentials, we envisage an infrastructure of interoperable tools being developed to foster improvements in the quality of infor- mation provided in support of shared data assets.

Item Type: Conference or Workshop Item (Paper)
Status: Unpublished
Schools: Computer Science & Informatics
Date of First Compliant Deposit: 25 November 2020
Date of Acceptance: 27 May 2020
Last Modified: 01 Dec 2020 13:45
URI: http://orca.cardiff.ac.uk/id/eprint/136635

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