Literature DB >> 10887163

WebEAV: automatic metadata-driven generation of web interfaces to entity-attribute-value databases.

P M Nadkarni1, C M Brandt, L Marenco.   

Abstract

The task of creating and maintaining a front end to a large institutional entity-attribute-value (EAV) database can be cumbersome when using traditional client-server technology. Switching to Web technology as a delivery vehicle solves some of these problems but introduces others. In particular, Web development environments tend to be primitive, and many features that client-server developers take for granted are missing. WebEAV is a generic framework for Web development that is intended to streamline the process of Web application development for databases having a significant EAV component. It also addresses some challenging user interface issues that arise when any complex system is created. The authors describe the architecture of WebEAV and provide an overview of its features with suitable examples.

Mesh:

Year:  2000        PMID: 10887163      PMCID: PMC61439          DOI: 10.1136/jamia.2000.0070343

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


  7 in total

1.  Organization of heterogeneous scientific data using the EAV/CR representation.

Authors:  P M Nadkarni; L Marenco; R Chen; E Skoufos; G Shepherd; P Miller
Journal:  J Am Med Inform Assoc       Date:  1999 Nov-Dec       Impact factor: 4.497

2.  Evaluation of an SQL model of the HELP patient database.

Authors:  S M Huff; C L Berthelsen; T A Pryor; A S Dudley
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1991

Review 3.  The Human Brain Project: neuroinformatics tools for integrating, searching and modeling multidisciplinary neuroscience data.

Authors:  G M Shepherd; J S Mirsky; M D Healy; M S Singer; E Skoufos; M S Hines; P M Nadkarni; P L Miller
Journal:  Trends Neurosci       Date:  1998-11       Impact factor: 13.837

4.  Data extraction and ad hoc query of an entity-attribute-value database.

Authors:  P M Nadkarni; C Brandt
Journal:  J Am Med Inform Assoc       Date:  1998 Nov-Dec       Impact factor: 4.497

5.  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

6.  SQLGEN: a framework for rapid client-server database application development.

Authors:  P M Nadkarni; K H Cheung
Journal:  Comput Biomed Res       Date:  1995-12

7.  HELP the next generation: a new client-server architecture.

Authors:  S M Huff; P J Haug; L E Stevens; R C Dupont; T A Pryor
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1994
  7 in total
  14 in total

1.  Olfactory Receptor Database: a metadata-driven automated population from sources of gene and protein sequences.

Authors:  Chiquito Crasto; Luis Marenco; Perry Miller; Gordon Shepherd
Journal:  Nucleic Acids Res       Date:  2002-01-01       Impact factor: 16.971

2.  Easing the transition between attribute-value databases and conventional databases for scientific data.

Authors:  P M Nadkarni; L Marenco
Journal:  Proc AMIA Symp       Date:  2001

3.  Generation of pedigree diagrams for web display using scalable vector graphics from a clinical trials database.

Authors:  S K Fernando; C Brandt; P Nadkarni
Journal:  Proc AMIA Symp       Date:  2001

4.  Metadata-driven ad hoc query of patient data: meeting the needs of clinical studies.

Authors:  Aniruddha M Deshpande; Cynthia Brandt; Prakash M Nadkarni
Journal:  J Am Med Inform Assoc       Date:  2002 Jul-Aug       Impact factor: 4.497

5.  TrialDB: A web-based Clinical Study Data Management System.

Authors:  C A Brandt; A M Deshpande; C Lu; G Ananth; K Sun; R Gadagkar; R Morse; C Rodriguez; P L Miller; P M Nadkarni
Journal:  AMIA Annu Symp Proc       Date:  2003

6.  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

7.  Automating identification of adverse events related to abnormal lab results using standard vocabularies.

Authors:  C A Brandt; C C Lu; P M Nadkarni
Journal:  AMIA Annu Symp Proc       Date:  2005

8.  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

9.  Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support.

Authors:  Paul A Harris; Robert Taylor; Robert Thielke; Jonathon Payne; Nathaniel Gonzalez; Jose G Conde
Journal:  J Biomed Inform       Date:  2008-09-30       Impact factor: 6.317

10.  Ultra-Structure database design methodology for managing systems biology data and analyses.

Authors:  Christopher W Maier; Jeffrey G Long; Bradley M Hemminger; Morgan C Giddings
Journal:  BMC Bioinformatics       Date:  2009-08-19       Impact factor: 3.169

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