Title :
Managing scientific metadata
Author :
Jones, Matthew B. ; Berkley, Chad ; Bojilova, Jivka ; Schildhauer, Mark
Abstract :
Metacat is a network-enabled database framework that lets users store, query, and retrieve XML documents with arbitrary schemas in SQL-compliant relational database systems. The system (available from the Knowledge Network for Biocomplexity, http://knb.ecoinformatics.org/) incorporates RDF-like methods for packaging data sets to allow researchers to customize and revise their metadata. It is extensible and flexible enough to preserve utility and interpretability working with future content standards. Metacat solves several key challenges that impede data confederation efforts in ecological research, or any field in which independent agencies collect heterogeneous data that they wish to control locally while enabling networked access. This distributed solution integrates with existing site infrastructures because it works with any SQL-compliant database system. The framework´s open-source based components are widely available, and individual sites can extend and customize the system to support their data and metadata needs
Keywords :
Internet; Java; SQL; ecology; file servers; hypermedia markup languages; meta data; relational databases; scientific information systems; Knowledge Network for Biocomplexity; RDF-like methods; SQL-compliant relational database systems; XML documents; arbitrary schemas; content standards; data confederation; data sets; distributed solution; ecological research; heterogeneous data; independent agencies; metadata catalog; metadata needs; network-enabled database framework; networked access; open-source based components; scientific metadata management; Database systems; Impedance; Information retrieval; Microorganisms; Network synthesis; Protocols; Relational databases; Spatiotemporal phenomena; Vocabulary; XML;
Journal_Title :
Internet Computing, IEEE
DOI :
10.1109/4236.957896