医学图书馆协会基准网络：发展与实施
The Medical Library Association Benchmarking Network: development and implementation.
作者信息
Dudden Rosalind Farnam, Corcoran Kate, Kaplan Janice, Magouirk Jeff, Rand Debra C, Smith Bernie Todd
机构信息
Gerald Tucker Memorial Medical Library, National Jewish Medical and Research Center, 1400 Jackson Street Denver, Colorado 80206, USA.
出版信息
J Med Libr Assoc. 2006 Apr;94(2):107-17.
OBJECTIVE
This article explores the development and implementation of the Medical Library Association (MLA) Benchmarking Network from the initial idea and test survey, to the implementation of a national survey in 2002, to the establishment of a continuing program in 2004. Started as a program for hospital libraries, it has expanded to include other nonacademic health sciences libraries.
METHODS
The activities and timelines of MLA's Benchmarking Network task forces and editorial board from 1998 to 2004 are described.
RESULTS
The Benchmarking Network task forces successfully developed an extensive questionnaire with parameters of size and measures of library activity and published a report of the data collected by September 2002. The data were available to all MLA members in the form of aggregate tables. Utilization of Web-based technologies proved feasible for data intake and interactive display. A companion article analyzes and presents some of the data. MLA has continued to develop the Benchmarking Network with the completion of a second survey in 2004.
CONCLUSIONS
The Benchmarking Network has provided many small libraries with comparative data to present to their administrators. It is a challenge for the future to convince all MLA members to participate in this valuable program.
目的
本文探讨了医学图书馆协会（MLA）基准网络从最初的构想和测试调查，到2002年开展全国性调查，再到2004年建立持续项目的发展与实施过程。该项目最初是针对医院图书馆开展的，后来扩展到包括其他非学术性健康科学图书馆。
方法
描述了1998年至2004年MLA基准网络特别工作组和编辑委员会的活动及时间安排。
结果
基准网络特别工作组成功编制了一份涵盖图书馆规模参数和活动量度的详尽问卷，并于2002年9月发布了所收集数据的报告。这些数据以汇总表的形式提供给所有MLA成员。事实证明，利用基于网络的技术进行数据采集和交互式展示是可行的。一篇配套文章对部分数据进行了分析和呈现。随着2004年第二次调查的完成，MLA继续推进基准网络项目。
结论
基准网络为许多小型图书馆提供了可向其管理人员展示的对比数据。未来的一项挑战是说服所有MLA成员参与这一有价值的项目。
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