An Exploratory Study of a NoSQL Database for a Clinical Data Repository
| Autor: | Manuel Filipe Santos, Tiago Guimarães, António Abelha, Francini Abdul Hak |
|---|---|
| Přispěvatelé: | Universidade do Minho |
| Rok vydání: | 2020 |
| Předmět: |
Oracle NoSQL
Ciências Médicas::Ciências da Saúde Database Computer science Key-value NoSQL 020207 software engineering Fault tolerance 02 engineering and technology computer.software_genre Data type Oracle Clinical Data Repository 03 medical and health sciences 0302 clinical medicine Relational database management system Scalability Node (computer science) 0202 electrical engineering electronic engineering information engineering 030212 general & internal medicine computer Engenharia e Tecnologia::Engenharia Eletrotécnica Eletrónica e Informática Clinical data repository |
| Zdroj: | Trends and Innovations in Information Systems and Technologies ISBN: 9783030456962 WorldCIST (3) |
| DOI: | 10.1007/978-3-030-45697-9_46 |
| Popis: | The need to implement a distributed Clinical Data Repository (CDR) at a healthcare facility, rose in large part due to the high volume of data and the discrepancy of their sources. Over the years, Relational Database Management Systems (RDBMS) began to present difficulties in responding to the needs of various organizations when it comes to manipulating a large amount of data and to its scalability. Therefore, it was necessary to explore other techniques to choose the appropriate technology to build the CDR. In this way, NoSQL emerged as a new type of database that is quite useful to work with multiple and different types of data. In addition, NoSQL introduces a number of user-friendly features such as a distributed, scalable, elastic and also fault tolerant system. In this way, Oracle NoSQL Database was the NoSQL solution chosen to develop this case study, using the key-value storage. This article was motivated to propose a CDR architecture based on Oracle NoSQL Database functionalities. A one-single node database was deployed for better comprehension, in order to enhance their features for future implementation. The work has been supported by FCT – Fundação para a Ciência e Tecnologia within the Project Scope UID/CEC/00319/2019 and DSAIPA/DS/0084/2018. |
| Databáze: | OpenAIRE |
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