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Contributed by Organizations or Campuses; Articles, Papers, and Reports; and Data Mining

Recent library resources tagged with Contributed by Organizations or Campuses; Articles, Papers, and Reports; and Data Mining.

Long-Lived Digital Data Collections: Enabling Research and Education in the 21st Century
Added by the EDUCAUSE Librarian
Title:Long-Lived Digital Data Collections: Enabling Research and Education in the 21st Century (ID: CSD4071)
Source:National Science Board
Origin:Contributed by Organizations or Campuses (2005)
Type:Articles, Papers, and Reports
Abstract:The primary purpose of this report is to frame the issues and to begin a broad discourse. Specifically, the NSB and NSF working together – with each fulfilling its respective responsibilities – need to take stock of the current NSF policies that lead to Foundation funding of a large number of data collections with an indeterminate lifetime and to ask what deliberate strategies will best serve the multiple research and education communities.
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http://www.nsf.gov/nsb/documents/2005/LLDDC_report.pdf[Off site]
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Business Intelligence Technology: SuperData
Added by the EDUCAUSE Librarian
Title:Business Intelligence Technology: SuperData (ID: CSD3881)
Author(s):Matthew Villano
Source:Campus Technology
Origin:Contributed by Organizations or Campuses (2005)
Type:Articles, Papers, and Reports
Abstract:"As ERP systems spark a deluge of data on campuses nationwide, savvy schools are turning to business intelligence software to make sense of it all."
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http://www.campus-technology.com/article.asp?id=11042[Off site]
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A Framework For Internet Archeology: Discovering Use Patterns in Digital Library and Web–based Information Resources
Added by the EDUCAUSE Librarian
Title:A Framework For Internet Archeology: Discovering Use Patterns in Digital Library and Web–based Information Resources (ID: CSD3756)
Author(s):Scott Nicholson (Syracuse University)
Source:First Monday
Origin:Contributed by Organizations or Campuses (2005)
Type:Articles, Papers, and Reports
Abstract:Archeologists use artifacts to make statements about occupants of a physical space. Users of information resources leave behind data–based artifacts when they interact with a digital library or other Web–based information space. One process for examining these patterns is bibliomining, or the combination of data warehousing, data mining and bibliometrics to understand connections and patterns between works. The purpose of this paper is to use a research framework from archeology to structure exploration of these data artifacts through bibliomining to aid managers of digital libraries and other Web–based information resources.
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http://www.firstmonday.org/issues/issue10_2/nicholson/index.html[Off site]
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