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The publication can be exported in the following formats: APA (American Psychological Association) reference format, IEEE (Institute of Electrical and Electronics Engineers) reference format, BibTeX and RIS.

Export Reference (APA) 
Oliveira, B., Henriques, A., Oliveira, Ó., Duarte, A., Santos, V., Antunes, A....Cardoso, E. (2023).  A measure data catalog for dashboard management and validation. In Gusikhin, O., Hammoudi, S., and Cuzzocrea, A. (Ed.), Proceedings of the 12th International Conference on Data Science, Technology and Applications - DATA. (pp. 381-389). Rome, Italy: SciTePress.
Export Reference (IEEE) 
B. Oliveira et al.,  " A measure data catalog for dashboard management and validation", in Proc. of the 12th Int. Conf. on Data Science, Technology and Applications - DATA, Gusikhin, O., Hammoudi, S., and Cuzzocrea, A., Ed., Rome, Italy, SciTePress, 2023, pp. 381-389
Export BibTeX 
@inproceedings{oliveira2023_1716200708500,
	author = "Oliveira, B. and Henriques, A. and Oliveira, Ó. and Duarte, A. and Santos, V. and Antunes, A. and Cardoso, E.",
	title = " A measure data catalog for dashboard management and validation",
	booktitle = "Proceedings of the 12th International Conference on Data Science, Technology and Applications - DATA",
	year = "2023",
	editor = "Gusikhin, O., Hammoudi, S., and Cuzzocrea, A.",
	volume = "",
	number = "",
	series = "",
	doi = "10.5220/0012088400003541",
	pages = "381-389",
	publisher = "SciTePress",
	address = "Rome, Italy",
	organization = "",
	url = "https://www.scitepress.org/ProceedingsDetails.aspx?ID=8bG6+OTo1+4=&t=1"
}
Export RIS 
TY  - CPAPER
TI  -  A measure data catalog for dashboard management and validation
T2  - Proceedings of the 12th International Conference on Data Science, Technology and Applications - DATA
AU  - Oliveira, B.
AU  - Henriques, A.
AU  - Oliveira, Ó.
AU  - Duarte, A.
AU  - Santos, V.
AU  - Antunes, A.
AU  - Cardoso, E.
PY  - 2023
SP  - 381-389
DO  - 10.5220/0012088400003541
CY  - Rome, Italy
UR  - https://www.scitepress.org/ProceedingsDetails.aspx?ID=8bG6+OTo1+4=&t=1
AB  - The amount and diversity of data that organizations have to deal with, intensify the importance and challenges associated with data management. In this context, data catalogs play a significant role, as they are used as a tool to find and understand data. With the emergence of new approaches to storing and exploring data, such as Data Lake or Data Lakehouse, the requirements associated with building and maintaining the data catalog have evolved and represent an opportunity for organizations to develop their decision-making processes. This work explores a metric data catalog for analytical systems to support building, validating, and maintaining dashboards in a Business Intelligence system.
ER  -