TY - GEN
T1 - Digital Twin Ready Data Available in the Green Deal Data Space
AU - Masó, Joan
AU - Brobia, Alba
AU - Zamzov, Malte
AU - Serall, Ivette
AU - Hodson, Thomas
AU - Palma, Raul
AU - Noardo, Francesca
AU - Bastin, Lucy
AU - Lush, Victoria
PY - 2024/9/5
Y1 - 2024/9/5
N2 - The Destination Earth (DestinE) initiative will develop and deploy a service infrastructure of computer processing, data and software. The Green Deal Data Space will organize the available data to contribute to the data lake of the DestinE infrastructure. This paper focuses on how to overcome data challenges in the Green Deal Data Space by producing Digital Twin Ready Data under the big data paradigm. In the Green Deal Data Space, the traditional organization of data in layers is no longer efficient as data is constantly evolving and mixed in new ways. First, there is a need for a new organization based on a flexible and encompassing Information Model composed by a suite of ontologies reusing best practices, and existing standards. Secondly, dynamic multidimensional data cubes replace the traditional two-dimensional view. Third, the OGC APIs offer a set of building blocks to implement data filtering for extracting the data with its provenance metadata.The AD4GD project will demonstrate the proposed capabilities of the Green Deal Data Space in three pilots about water pollution in Berlin’s small lakes, biodiversity connectivity in Catalonia and air quality for the Copernicus Atmosphere Monitoring Service.While data spaces should allow for data exchange in a secure environment that enabling the digital economy, this aspects are out of scope of this communication.
AB - The Destination Earth (DestinE) initiative will develop and deploy a service infrastructure of computer processing, data and software. The Green Deal Data Space will organize the available data to contribute to the data lake of the DestinE infrastructure. This paper focuses on how to overcome data challenges in the Green Deal Data Space by producing Digital Twin Ready Data under the big data paradigm. In the Green Deal Data Space, the traditional organization of data in layers is no longer efficient as data is constantly evolving and mixed in new ways. First, there is a need for a new organization based on a flexible and encompassing Information Model composed by a suite of ontologies reusing best practices, and existing standards. Secondly, dynamic multidimensional data cubes replace the traditional two-dimensional view. Third, the OGC APIs offer a set of building blocks to implement data filtering for extracting the data with its provenance metadata.The AD4GD project will demonstrate the proposed capabilities of the Green Deal Data Space in three pilots about water pollution in Berlin’s small lakes, biodiversity connectivity in Catalonia and air quality for the Copernicus Atmosphere Monitoring Service.While data spaces should allow for data exchange in a secure environment that enabling the digital economy, this aspects are out of scope of this communication.
UR - https://ieeexplore.ieee.org/document/10641950
UR - http://www.scopus.com/inward/record.url?scp=85204909352&partnerID=8YFLogxK
U2 - 10.1109/igarss53475.2024.10641950
DO - 10.1109/igarss53475.2024.10641950
M3 - Conference publication
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 3589
EP - 3591
BT - IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Proceedings
PB - IEEE
T2 - 2024 IEEE International Geoscience and Remote Sensing Symposium
Y2 - 7 July 2024 through 12 July 2024
ER -