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In order to increase the value of scientific datasets and improve researchoutcomes, it is important that only trustworthy data is used. This paperpresents mechanisms by which scientists and the organisations they representcan certify the authenticity of characteristics and provenance of any datasetsthey publish so that secondary users can inspect and gain confidence in thequalities of data they source. By drawing on data models and protocols used toprovide self-sovereign ownership of identity and personal data to individuals,we conclude that providing self-sovereignty to data assets offers a viableapproach for institutions to certify qualities of their datasets in acryptography secure manner, and enables secondary data users to efficientlyperform verification of the authenticity of such certifications. By buildingupon emerging standards for decentralized identification and cryptographicallyverifiable credentials, we envisage an infrastructure of tools being developedto foster adoption of metadata certification schemes, and improving the qualityof information provided in support of shared data assets.

Certifying Provenance of Scientific Datasets with Self-sovereign Identity and Verifiable Credentials