Enterprise data management in research organizations: Data the way you want it

M. Brian Blake

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Raw data and processed information are essential to organizations that perform operational analysis and build simulation systems. In such domains, the dissemination and management of this information is a daunting task. Not only must this data support a heterogeneous array of researchers, but also the requirements on this data are constantly changing. To achieve maximum utility, data of this sort must be made available in distributed locations and offered in various custom formats. Such approaches as relational-to-XML, XML-XSL-based custom formats, and web-accessible database reporting tools offer some solutions for this domain. However, there are some requirements that the current state of the art do not fulfill. In this paper, there is a characterization of the state of the art for this distributed data management domain and a discussion of the current short-comings.

Original languageEnglish (US)
Title of host publicationProceedings of the 2003 Conference on Diversity in Computing, TAPIA '03
Pages55-64
Number of pages10
DOIs
StatePublished - Dec 1 2003
Event1st Richard Tapia Celebration of Diversity in Computing Conference 2003, TAPIA '03 - Atlanta, GA, United States
Duration: Oct 15 2003Oct 18 2003

Publication series

NameProceedings of the 2003 Conference on Diversity in Computing, TAPIA '03

Other

Other1st Richard Tapia Celebration of Diversity in Computing Conference 2003, TAPIA '03
CountryUnited States
CityAtlanta, GA
Period10/15/0310/18/03

Keywords

  • Semi-structured data
  • Web-accessible databases
  • XML
  • XSLT

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Science Applications

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  • Cite this

    Blake, M. B. (2003). Enterprise data management in research organizations: Data the way you want it. In Proceedings of the 2003 Conference on Diversity in Computing, TAPIA '03 (pp. 55-64). (Proceedings of the 2003 Conference on Diversity in Computing, TAPIA '03). https://doi.org/10.1145/948542.948554