HOW CAN MODEL-DRIVEN ARCHITECTURE AUTOMATE DATA CATALOGS FOR ENHANCED DATA MANAGEMENT?

In recent years, the scalability and maintenance of data catalogs posed significant challenges that hindered organizational efficiency and data accessibility. This paper examined these issues, highlighting the need for an automated approach. It advocated for the use of Model-Driven Architecture (MDA) to streamline the creation and maintenance of data catalogs. Through this approach, key data catalog components were automatically generated from higher-level models, minimizing manual work and improving both data integrity and system functionality. The findings indicated a considerable reduction in errors and operational demands, along with notable improvements in manageability and scalability. This integration of MDA into data catalog frameworks thus presented a compelling solution to the persistent challenges of data management, setting a new standard for efficiency and effectiveness in managing organizational data.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-15
DOI
https://doi.org/10.5281/zenodo.16965951
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

HOW CAN MODEL-DRIVEN ARCHITECTURE AUTOMATE DATA CATALOGS FOR ENHANCED DATA MANAGEMENT?

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

HOW CAN MODEL-DRIVEN ARCHITECTURE AUTOMATE DATA CATALOGS FOR ENHANCED DATA MANAGEMENT?

article en

Abstract

In recent years, the scalability and maintenance of data catalogs posed significant challenges that hindered organizational efficiency and data accessibility. This paper examined these issues, highlighting the need for an automated approach. It advocated for the use of Model-Driven Architecture (MDA) to streamline the creation and maintenance of data catalogs. Through this approach, key data catalog components were automatically generated from higher-level models, minimizing manual work and improving both data integrity and system functionality. The findings indicated a considerable reduction in errors and operational demands, along with notable improvements in manageability and scalability. This integration of MDA into data catalog frameworks thus presented a compelling solution to the persistent challenges of data management, setting a new standard for efficiency and effectiveness in managing organizational data.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 63%
Geochemistry and Geologic Mapping
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.