Research on Data Governance Methods and Systems for Large Hub Airports
As a new type of production factor in the digital era, data breaks the qualitative state of traditional production factors and has been highly valued by the state and the industry in recent years. With the continuous advancement of intelligent civil aviation construction, data issues have become the key bottleneck restricting the intelligent construction of airports. Data governance is not only the core grip for airports to give full play to the value of data elements, but also can provide important support for the integration and consolidation of the functions of various information systems and the collaborative control of various business modules in airports. This paper focuses on the data governance path of the Capital Airport, and describes the data governance system framework and information platform architecture of typical hub airports from top to bottom, which can provide a reference for other units in the industry to carry out data governance work with reference significance.
Authors
- Jing Ning (ORCID: https://orcid.org/0000-0002-5289-331X)
- Yingchao Xu (ORCID: https://orcid.org/0000-0001-7297-9084)
- Ning Lei (ORCID: https://orcid.org/0000-0001-5561-4067)
- Yinghong Li (ORCID: https://orcid.org/0000-0003-3629-519X)
- Yi Liu (ORCID: https://orcid.org/0000-0003-1399-7420)
- Ting Yuan
Institutions
- Civil Aviation Management Institute of China (CN)
- Airport Shunyi District Hospital (CN)
Publication Details
- Published
- 2025-03-21
- DOI
- https://doi.org/10.1109/icaace65325.2025.11018979
- Citations
- 1
- Primary Topic
- Impact of AI and Big Data on Business and Society
- Type
- article
- Field-Weighted Citation Impact
- 2.11