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| Main Author: | |
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| Format: | Recurso educativo Open Access |
| Language: | en |
| Published: |
2006
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| Subjects: | |
| Online Access: | https://eric.ed.gov/?id=EJ755277 |
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| _version_ | 1867181387316985857 |
|---|---|
| author | Nicholson, Scott |
| author_facet | Nicholson, Scott Nicholson, Scott |
| collection | Education Resources Information Center |
| contents | Proof in the Pattern: Librarians Follow the Corporate Sector toward More Data-Driven Management Nicholson, Scott Library Administration Information Management Information Systems Information Utilization Bibliometrics As demands on libraries continue to grow, outpacing budget increases, more librarians are forced to make difficult decisions about what materials and services stay and go. Charles R. McClure has written that many librarians use an "adhocracy" method to make these decisions, relying on no data or simple aggregates in determining a course of action. Others, however, have turned to a more data-driven approach that moves beyond generalized aggregations, such as running totals and overall means, to reveal underlying patterns in the data that clarify which services or materials are worth retaining. In this article, the author discusses "data warehousing" techniques that explore a large dataset for nontrivial, novel, and useful patterns, using different statistical, analytical, and visualization tools. (Contains 1 figure.) |
| format | Recurso educativo Open Access |
| id | eric_EJ755277 |
| institution | ERIC Institute of Education Sciences |
| language | en |
| publishDate | 2006 |
| record_format | eric |
| spellingShingle | Proof in the Pattern: Librarians Follow the Corporate Sector toward More Data-Driven Management Nicholson, Scott Library Administration Information Management Information Systems Information Utilization Bibliometrics Proof in the Pattern: Librarians Follow the Corporate Sector toward More Data-Driven Management Nicholson, Scott Library Administration Information Management Information Systems Information Utilization Bibliometrics As demands on libraries continue to grow, outpacing budget increases, more librarians are forced to make difficult decisions about what materials and services stay and go. Charles R. McClure has written that many librarians use an "adhocracy" method to make these decisions, relying on no data or simple aggregates in determining a course of action. Others, however, have turned to a more data-driven approach that moves beyond generalized aggregations, such as running totals and overall means, to reveal underlying patterns in the data that clarify which services or materials are worth retaining. In this article, the author discusses "data warehousing" techniques that explore a large dataset for nontrivial, novel, and useful patterns, using different statistical, analytical, and visualization tools. (Contains 1 figure.) |
| title | Proof in the Pattern: Librarians Follow the Corporate Sector toward More Data-Driven Management |
| topic | Library Administration Information Management Information Systems Information Utilization Bibliometrics |
| url | https://eric.ed.gov/?id=EJ755277 |