Literature DB >> 10566329

Neuronal database integration: the Senselab EAV data model.

L Marenco1, P Nadkarni, E Skoufos, G Shepherd, P Miller.   

Abstract

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.

Entities:  

Mesh:

Year:  1999        PMID: 10566329      PMCID: PMC2232788     

Source DB:  PubMed          Journal:  Proc AMIA Symp        ISSN: 1531-605X


  6 in total

1.  Basic local alignment search tool.

Authors:  S F Altschul; W Gish; W Miller; E W Myers; D J Lipman
Journal:  J Mol Biol       Date:  1990-10-05       Impact factor: 5.469

Review 2.  The NEURON simulation environment.

Authors:  M L Hines; N T Carnevale
Journal:  Neural Comput       Date:  1997-08-15       Impact factor: 2.026

3.  DNA workbench: a database package to manage regional physical mapping.

Authors:  P Nadkarni; K H Cheung; C Castiglione; P Miller; K Kidd
Journal:  J Comput Biol       Date:  1996       Impact factor: 1.479

4.  Managing attribute--value clinical trials data using the ACT/DB client-server database system.

Authors:  P M Nadkarni; C Brandt; S Frawley; F G Sayward; R Einbinder; D Zelterman; L Schacter; P L Miller
Journal:  J Am Med Inform Assoc       Date:  1998 Mar-Apr       Impact factor: 4.497

5.  Olfactory receptor database (ORDB): a resource for sharing and analyzing published and unpublished data.

Authors:  M D Healy; J E Smith; M S Singer; P M Nadkarni; E Skoufos; P L Miller; G M Shepherd
Journal:  Chem Senses       Date:  1997-06       Impact factor: 3.160

6.  ModelDB: an environment for running and storing computational models and their results applied to neuroscience.

Authors:  B E Peterson; M D Healy; P M Nadkarni; P L Miller; G M Shepherd
Journal:  J Am Med Inform Assoc       Date:  1996 Nov-Dec       Impact factor: 4.497

  6 in total
  12 in total

1.  Opportunities at the intersection of bioinformatics and health informatics: a case study.

Authors:  P L Miller
Journal:  J Am Med Inform Assoc       Date:  2000 Sep-Oct       Impact factor: 4.497

2.  Achieving evolvable Web-database bioscience applications using the EAV/CR framework: recent advances.

Authors:  Luis Marenco; Nicholas Tosches; Chiquito Crasto; Gordon Shepherd; Perry L Miller; Prakash M Nadkarni
Journal:  J Am Med Inform Assoc       Date:  2003-06-04       Impact factor: 4.497

3.  Integrating databases and expert systems for the analysis of brain structures: connections, similarities, and homologies.

Authors:  Mihail Bota; Michael A Arbib
Journal:  Neuroinformatics       Date:  2004

4.  Text mining neuroscience journal articles to populate neuroscience databases.

Authors:  Chiquito J Crasto; Luis N Marenco; Michele Migliore; Buqing Mao; Prakash M Nadkarni; Perry Miller; Gordon M Shepherd
Journal:  Neuroinformatics       Date:  2003

5.  ModelDB: making models publicly accessible to support computational neuroscience.

Authors:  Michele Migliore; Thomas M Morse; Andrew P Davison; Luis Marenco; Gordon M Shepherd; Michael L Hines
Journal:  Neuroinformatics       Date:  2003

6.  Brain architecture management system.

Authors:  Mihail Bota; Hong-Wei Dong; Larry W Swanson
Journal:  Neuroinformatics       Date:  2005

7.  A new module for on-line manipulation and display of molecular information in the brain architecture management system.

Authors:  Mihail Bota; Larry W Swanson
Journal:  Neuroinformatics       Date:  2006

8.  Dynamic tables: an architecture for managing evolving, heterogeneous biomedical data in relational database management systems.

Authors:  John Corwin; Avi Silberschatz; Perry L Miller; Luis Marenco
Journal:  J Am Med Inform Assoc       Date:  2006-10-26       Impact factor: 4.497

9.  Guidelines for the effective use of entity-attribute-value modeling for biomedical databases.

Authors:  Valentin Dinu; Prakash Nadkarni
Journal:  Int J Med Inform       Date:  2006-11-13       Impact factor: 4.046

Review 10.  The neuron classification problem.

Authors:  Mihail Bota; Larry W Swanson
Journal:  Brain Res Rev       Date:  2007-05-26
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