Abstract
Scientific exploration has become a data-intensive process, and increasing amounts of data need to be stored, analyzed, and shared. XML can help address these needs. As concrete examples from systems biology show, native XML storage can be combined with traditional relational databases to offer an effective, usable solution for storing scientific data.
Original language | English (US) |
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Article number | 5551103 |
Pages (from-to) | 12-22 |
Number of pages | 11 |
Journal | Computing in Science and Engineering |
Volume | 13 |
Issue number | 5 |
DOIs | |
State | Published - Sep 2011 |
Keywords
- Scientific data management
- XML standardization
- bioinformatics
- hybrid XML management
ASJC Scopus subject areas
- General Computer Science
- General Engineering