Neuronal database integration : the Senselab EAV data model
We discuss an approach towards integrating heterogeneous nervous system data using an augmented Entity-Attribute-Value (EAV) schema design. This approach, widely used in implementing electronic patient record systems (EPRSs), allows the physical schema of the database to be relatively immune to chan...
| Publié dans: | Proceedings. AMIA Symposium. - 1998. - (1999) vom: 23., Seite 102-6 |
|---|---|
| Auteur principal: | |
| Autres auteurs: | , , , |
| Format: | Article |
| Langue: | English |
| Publié: |
1999
|
| Accès à la collection: | Proceedings. AMIA Symposium |
| Sujets: | Journal Article Research Support, U.S. Gov't, P.H.S. |
| Résumé: | We discuss an approach towards integrating heterogeneous nervous system data using an augmented Entity-Attribute-Value (EAV) schema design. This approach, widely used in implementing electronic patient record systems (EPRSs), allows the physical schema of the database to be relatively immune to changes in domain knowledge. This is because new kinds of facts are added as data (or as metadata) rather than hard-coded as the names of newly created tables or columns. Because the domain knowledge is stored as metadata, a framework developed in one scientific domain can be ported to another with only modest revision. We describe our progress in creating a code framework that handles browsing and hyperlinking of the different kinds of data |
|---|---|
| Description: | Date Completed 01.02.2000 Date Revised 13.11.2018 published: Print Citation Status MEDLINE |
| ISSN: | 1531-605X |