Data integration with diverse data: aerospace industry insights from a systematic literature review

Olga Perera, Dakota State University
Cherie Noteboom, Dakota State University

Abstract

Data Integration (DI) is a technical framework that facilitates the integration of different data sources into a unified system. Often, organizational data is spread across various files, databases, and personal computers, resulting in data silos and difficulties in accessing vital organizational knowledge. The solution rests in the development of Information Systems capable of handling diverse data from multiple heterogeneous sources. This study presents a systematic literature review on data integration approaches, specifically focusing on the aerospace industry. We conducted a literature search on IEEE Xplore database with keywords ‘data integration aerospace’ for articles published between January 2000 and December 2022 to discover aerospace industry insights on data integration with diverse data. Four (4) distinct aerospace-specific data categories and three (3) data integration types were discovered. The findings of this research offer insights on data integration in the aerospace domain with the results suggesting limited research on cloud-based integration.