Cargando…
Data Governance as Success Factor for Data Science
More and more, asset management organizations are introducing data science initiatives to support predictive maintenance and anomaly detection. Asset management organizations are by nature data intensive to manage their assets like bridges, dykes, railways and roads. For this, they often implement d...
Autores principales: | Brous, Paul, Janssen, Marijn, Krans, Rutger |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7134294/ http://dx.doi.org/10.1007/978-3-030-44999-5_36 |
Ejemplares similares
-
Resilient government requires data science reform
por: MacArthur, Ben D., et al.
Publicado: (2022) -
Data quantity governance for machine learning in materials science
por: Liu, Yue, et al.
Publicado: (2023) -
Making particularity travel: Trust and citizen science data in Swedish
environmental governance
por: Kasperowski, Dick, et al.
Publicado: (2022) -
Master data management and data governance
por: Berson, Alex, et al.
Publicado: (2011) -
Agile and adaptive governance in crisis response: Lessons from the COVID-19 pandemic
por: Janssen, Marijn, et al.
Publicado: (2020)