Data ownership revisited: clarifying data accountabilities in times of big data and analytics

Détails

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Etat: Public
Version: Final published version
Licence: CC BY-NC-ND 4.0
ID Serval
serval:BIB_907C9C12F3A7
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Data ownership revisited: clarifying data accountabilities in times of big data and analytics
Périodique
Journal of Business Analytics
Auteur⸱e⸱s
Fadler Martin, Legner Christine
ISSN
2573-234X
2573-2358
ISSN-L
2573-2358
Statut éditorial
Publié
Date de publication
04/08/2021
Peer-reviewed
Oui
Pages
1-17
Langue
anglais
Résumé
Today, a myriad of data is generated via connected devices and digital applications. In order to benefit from these data, companies have to develop their capabilities related to big data and analytics (BDA). A critical factor that is often cited concerning the “soft” aspects of BDA is data ownership, i.e., clarifying the fundamental rights and responsibilities for data. IS research has investigated data ownership for operational systems and data warehouses, where the purpose of data processing is known. In the BDA context, defining accountabilities for data is more challenging because data are stored in data lakes and used for previously unknown purposes. Based on four case studies, we identify ownership principles and three distinct types: data, data platform, and data product ownership. Our research answers fundamental questions about how data management changes with BDA and lays the foundation for future research on data and analytics governance.
Mots-clé
Data ownership, data governance, analytics governance, big data and analytics, data lake, data products
Open Access
Oui
Financement(s)
Autre / CC CDQ
Création de la notice
05/08/2021 8:38
Dernière modification de la notice
05/12/2021 7:11
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