Archiving of Scientific Data

Executive Summary

Many scientific databases have the properties that they are accretive (new information is added, but relatively little is deleted) and that updates to existing data are relatively infrequent. Keeping archives of such databases is essential for accuracy in scientific citation. We present an archiving system with the following properties

• It can hold many versions in a file that is little larger the most recent version of the database
• A specific version can be extracted by a linear scan of the this file
• Queries, edits and updates can be performed directly on the archive
• The system works well in tandem with XML compression to achieve further compression
• It provides a natural representation of "object histories"

Project Members

Publications

• Archiving Scientific Data
  Proceedings of ACM SIGMOD International Conference on Management of Data (SIGMOD) (2002)
  Peter Buneman   Sanjeev Khanna   Keishi Tajima   Wang-Chiew Tan   
  

• Archiving Scientific Data
  Technical Report (2001)
  Peter Buneman   Sanjeev Khanna   Keishi Tajima   Wang-Chiew Tan   
  

• Keys for XML [.ps] [.pdf] [.html] 
  International World Wide Web Conference (WWW) (2001)
  Peter Buneman   Susan Davidson   Wenfei Fan   Carmem Hara   Wang-Chiew Tan   
  

• Reasoning about Keys for XML [.pdf] 
  Technical Report MS-CIS-00-26 (2000)
  Peter Buneman   Susan Davidson   Wenfei Fan   Carmem Hara   Wang-Chiew Tan   
  

• A deterministic model for semistructured data [.ps] 
  Workshop on Query Processing for Semistructured Data and Non-Standard Data Formats (1998)
  Peter Buneman   Alin Deutsch   Wang-Chiew Tan