Literature DB >> 8770535

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

P M Nadkarni1, K H Cheung.   

Abstract

SQLGEN is a framework for rapid client-server relational database application development. It relies on an active data dictionary on the client machine that stores metadata on one or more database servers to which the client may be connected. The dictionary generates dynamic Structured Query Language (SQL) to perform common database operations; it also stores information about the access rights of the user at log-in time, which is used to partially self-configure the behavior of the client to disable inappropriate user actions. SQLGEN uses a microcomputer database as the client to store metadata in relational form, to transiently capture server data in tables, and to allow rapid application prototyping followed by porting to client-server mode with modest effort. SQLGEN is currently used in several production biomedical databases.

Mesh:

Year:  1995        PMID: 8770535

Source DB:  PubMed          Journal:  Comput Biomed Res        ISSN: 0010-4809


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

Authors:  P M Nadkarni; C M Brandt; L Marenco
Journal:  J Am Med Inform Assoc       Date:  2000 Jul-Aug       Impact factor: 4.497

3.  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

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.  Automatic query mapping among genomic databases: a pilot exploration.

Authors:  K H Cheung; P Nadkarni; P Miller; D G Shin
Journal:  Proc AMIA Symp       Date:  1998

6.  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 in total

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