A relational database application in support of integrated neuroscience research

Ira Rudowsky, Olga Kulyba, Mikhail Kunin, Dmitri Ogarodnikov, Theodore Raphan

Research output: Contribution to journalArticlepeer-review

Abstract

The development of relational databases has significantly improved the performance of storage, search, and retrieval functions and has made it possible for applications that perform real-time data acquisition and analysis to interact with these types of databases. The purpose of this research was to develop a user interface for interaction between a data acquisition and analysis application and a relational database using the Oracle9i system. The overall system was designed to have an indexing capability that threads into the data acquisition and analysis programs. Tables were designed and relations within the database for indexing the files and information contained within the files were established. The system provides retrieval capabilities over a broad range of media, including analog, event, and video data types. The system's ability to interact with a data capturing program at the time of the experiment to create both multimedia files as well as the meta-data entries in the relational database avoids manual entries in the database and ensures data integrity and completeness for further interaction with the data by analysis applications.

Original languageEnglish
Pages (from-to)363-378
Number of pages16
JournalJournal of Integrative Neuroscience
Volume4
Issue number3
DOIs
StatePublished - Sep 2005

Keywords

  • Data integrity
  • Multimedia data
  • Neuroinformatics
  • Neuroscience
  • Oracle
  • Relational database
  • Security

Fingerprint

Dive into the research topics of 'A relational database application in support of integrated neuroscience research'. Together they form a unique fingerprint.

Cite this