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Blockchain-backed analytics. Adding blockchain-based quality gates to data science projects

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Blockchain-backed analytics. Adding blockchain-based quality gates to data science projects

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dc.contributor.author Herrmann, Markus es_ES
dc.contributor.author Petzold, Jörg es_ES
dc.contributor.author Bombatkar, Vivek es_ES
dc.date.accessioned 2018-11-06T07:46:57Z
dc.date.available 2018-11-06T07:46:57Z
dc.date.issued 2018-09-07
dc.identifier.isbn 9788490486894
dc.identifier.uri http://hdl.handle.net/10251/111929
dc.description.abstract [EN] A typical analytical lifecycle in data science projects starts with the process of data generation and collection, continues with data preparation and preprocessing and heads towards project specific analytics, visualizations and presentations. In order to ensure high quality trusted analytics, every relevant step of the data-model-result linkage needs to meet certain quality standards that furthermore should be certified by trusted quality gate mechanisms.We propose “blockchain-backed analytics”, a scalable and easy-to-use generic approach to introduce quality gates to data science projects, backed by the immutable records of a blockchain. For that reason, data, models and results are stored as cryptographically hashed fingerprints with mutually linked transactions in a public blockchain database.This approach enables stakeholders of data science projects to track and trace the linkage of data, applied models and modeling results without the need of trust validation of escrow systems or any other third party. es_ES
dc.format.extent 9 es_ES
dc.language Inglés es_ES
dc.publisher Editorial Universitat Politècnica de València es_ES
dc.relation.ispartof 2nd International Conference on Advanced Reserach Methods and Analytics (CARMA 2018) es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Internet data es_ES
dc.subject Big data es_ES
dc.subject QCA es_ES
dc.subject PLS es_ES
dc.subject SEM es_ES
dc.subject Conference es_ES
dc.subject Web data es_ES
dc.subject Blockchain es_ES
dc.subject Data science es_ES
dc.subject Data management es_ES
dc.subject Trusted data es_ES
dc.subject Trusted analytics es_ES
dc.title Blockchain-backed analytics. Adding blockchain-based quality gates to data science projects es_ES
dc.type Capítulo de libro es_ES
dc.type Comunicación en congreso es_ES
dc.identifier.doi 10.4995/CARMA2018.2018.8292
dc.rights.accessRights Abierto es_ES
dc.description.bibliographicCitation Herrmann, M.; Petzold, J.; Bombatkar, V. (2018). Blockchain-backed analytics. Adding blockchain-based quality gates to data science projects. En 2nd International Conference on Advanced Reserach Methods and Analytics (CARMA 2018). Editorial Universitat Politècnica de València. 1-9. https://doi.org/10.4995/CARMA2018.2018.8292 es_ES
dc.description.accrualMethod OCS es_ES
dc.relation.conferencename CARMA 2018 - 2nd International Conference on Advanced Research Methods and Analytics es_ES
dc.relation.conferencedate Julio 12-13,2018 es_ES
dc.relation.conferenceplace Valencia, Spain es_ES
dc.relation.publisherversion http://ocs.editorial.upv.es/index.php/CARMA/CARMA2018/paper/view/8292 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 9 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.relation.pasarela OCS\8292 es_ES


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