Designing Graph Database for Managing Lecturers Scientific Publications Using Neo4j
International Journal of Emerging Trends in Engineering Research · 2021
This study aimed to implement a database design to manage lecturers’ scientific publications using a graph database. Data of lecturers' scientific publications are very important to be managed properly. These data are much needed as the requirement of university accreditation, university clustering, and proposal of lecturers’ functional positions. The increasing number of data certainly requires a good database design and one of the alternative databases is a graph database which is a model of a NoSQL database. This study was conducted in several stages: data collection and analysis, conceptual level database design, logical level database design, and physical level database design. This study developed a graph database design that stored various data about lecturers' scientific publications using Neo4j.