dc.rights.license | CC-BY-NC-ND | |
dc.contributor.advisor | Brand, Nico | |
dc.contributor.author | Smidt, Nick | |
dc.date.accessioned | 2022-02-11T00:00:30Z | |
dc.date.available | 2022-02-11T00:00:30Z | |
dc.date.issued | 2022 | |
dc.identifier.uri | https://studenttheses.uu.nl/handle/20.500.12932/483 | |
dc.description.abstract | Data governance is a new field of study compared to IT governance.
There are few frameworks that help organizations help implement data
governance. This study was performed in collaboration with Transavia.
A new data governance approach and framework is designed in this study
to help Transavia govern their data. The framework is derived from data
governance and data classification literature. The conceptual framework
is validated to find its suitability. The validation resulted in feedback
and discussion points for the framework. The process of conducting this
study has helped Transavia discuss and align data related objectives between stakeholders. The study is concluded with future research and
improvements for the designed conceptual framework | |
dc.description.sponsorship | Utrecht University | |
dc.language.iso | EN | |
dc.subject | A new framework for data governance was designed and validated in this study. The designed framework uses data categorization. This a new approach for data governance. | |
dc.title | Upon a Data Governance framework which uses data categorization | |
dc.type.content | Master Thesis | |
dc.rights.accessrights | Open Access | |
dc.subject.keywords | data governance, framework, data management, data classification, classification, categorization | |
dc.subject.courseuu | Business Informatics | |
dc.thesis.id | 2237 | |