Implementing Standards Suite for Ocean Digital Twins in Iliad

Data discovery, processing and access APIs play an important role in the integration and harmonization of Digital Twins' implementations. Within the Iliad project's System of Systems (SoS) federated approach to the distributed platform architecture for digital twins operating oceanographic data, APIs have been applied. By enabling interoperability between diverse sources—legacy sensors, citizen science projects, third-party data hubs, and models—these APIs ensure standardized access to distributed datasets without requiring a centralized repository. A key focus of this paper is the implementation of flexible, open API architectures that align metadata, standardize access protocols, and facilitate data discovery across the system of systems (SoS). The adoption of cloud-native formats, rich web services, and streaming mechanisms enhances accessibility while supporting both existing and emerging technologies. The paper explores efforts around standards development organizations to refine API frameworks into knowledge services, ensuring they remain adaptable to evolving requirements. These advancements are instrumental in enabling high-resolution modeling, large-scale simulations, and leveraging potential of the AI applications within the environmental Digital Twins ecosystem.

Authors

Institutions

Publication Details

Published
2025-06-16
DOI
https://doi.org/10.1109/oceans58557.2025.11104605
Primary Topic
Coastal and Marine Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Implementing Standards Suite for Ocean Digital Twins in Iliad

Pauline Simpson, Alaitz Zabala, Sina Taghavikish, Jay Pearlman et al.
Coastal and Marine Management
article

Implementing Standards Suite for Ocean Digital Twins in Iliad

Pauline Simpson, Alaitz Zabala, Sina Taghavikish, Jay Pearlman, Piotr Zaborowski, Arne J. Berre, Sigmund Kluckner, Alejandro Villar, Joan Masó, Raúl Palma, Rob Atkinson, Òscar Gonzalez Guerrero
article en

Abstract

Data discovery, processing and access APIs play an important role in the integration and harmonization of Digital Twins' implementations. Within the Iliad project's System of Systems (SoS) federated approach to the distributed platform architecture for digital twins operating oceanographic data, APIs have been applied. By enabling interoperability between diverse sources—legacy sensors, citizen science projects, third-party data hubs, and models—these APIs ensure standardized access to distributed datasets without requiring a centralized repository. A key focus of this paper is the implementation of flexible, open API architectures that align metadata, standardize access protocols, and facilitate data discovery across the system of systems (SoS). The adoption of cloud-native formats, rich web services, and streaming mechanisms enhances accessibility while supporting both existing and emerging technologies. The paper explores efforts around standards development organizations to refine API frameworks into knowledge services, ensuring they remain adaptable to evolving requirements. These advancements are instrumental in enabling high-resolution modeling, large-scale simulations, and leveraging potential of the AI applications within the environmental Digital Twins ecosystem.

University of Calgary (CA), SINTEF (NO), Institute of Electrical and Electronics Engineers (US), Open Geospatial Consortium (US), Poznan Supercomputing and Networking Center (PL), Institute of Electrical and Electronics Engineers (FR), Centre for Research on Ecology and Forestry Applications (ES), Institut d'écologie et des sciences de l'environnement de Paris (FR), Center for Research in Agricultural Genomics (ES)
Life below water
Openalex Percentile: Top 72%
Coastal and Marine Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.