The Medical Library Association Benchmarking Network: development and implementation.

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.

The Medical Library Association Benchmarking Network: results.

OBJECTIVE: This article presents some limited results from the Medical Library Association (MLA) Benchmarking Network survey conducted in 2002. Other uses of the data are also presented. METHODS: After several years of development and testing, a Web-based survey opened for data input in December 2001. Three hundred eighty-five MLA members entered data on the size of their institutions and the activities of their libraries. The data from 344 hospital libraries were edited and selected for reporting in aggregate tables and on an interactive site in the Members-Only area of MLANET. The data represent a 16% to 23% return rate and have a 95% confidence level. RESULTS: Specific questions can be answered using the reports. The data can be used to review internal processes, perform outcomes benchmarking, retest a hypothesis, refute a previous survey findings, or develop library standards. The data can be used to compare to current surveys or look for trends by comparing the data to past surveys. CONCLUSIONS: The impact of this project on MLA will reach into areas of research and advocacy. The data will be useful in the everyday working of small health sciences libraries as well as provide concrete data on the current practices of health sciences libraries.