Paper Info
Title
BioRegistry: a structured metadata repository for bioinformatic databases
Abstract
One of the major challenges in the post genomic era consists in exploiting the vast amounts of biological data stored in the numerous heterogeneous biological databases distributed worldwide. Most research projects in bioinformatics start with data retrieval from selected sources. However, identifying appropriate data sources is not trivial and requires the representation of the knowledge about data sources. We present here the BioRegistry project which aims at providing means to represent and exploit knowledge associated with biological databases. As a first step, a repository structure has been designed to organise metadata associated with databases consisting of five metadata categories: database identification, topics covered, quality information, access/availability, and tracking of the metadata. The BioRegistry model and its relationships with the DCMI (Dublin Core Metadata Initiative) are described. Prototypes with various functionalities to feed, maintain and exploit the repository are presented.
Year
DOI
Venue
2005
10.1007/11560500_5
Lecture Notes in Computer Science
Keywords
Field
DocType
biological databases,appropriate data source,bioregistry model,metadata category,repository structure,biological data,numerous heterogeneous biological databases,data retrieval,bioinformatic databases,data source,structured metadata repository,bioregistry project,biological database,bioinformatics,database,metadata,ontology
Metadata repository,Metadata,Information retrieval,Data element,Computer science,Meta Data Services,Biological database,Data dictionary,Metadata modeling,Database,Database catalog
Conference
Volume
ISSN
ISBN
3695
0302-9743
3-540-29104-0
Citations 
PageRank 
References 
6
0.48
21
Authors
5
Name
Order
Citations
PageRank
Malika Smaïl-Tabbone18613.49
Shazia Osman260.48
Nizar Messai310619.26
Amedeo Napoli41180135.52
Marie-Dominique Devignes521323.87