The use and significance of a research networking system.

BACKGROUND: Universities have begun deploying public Internet systems that allow for easy search of their experts, expertise, and intellectual networks. Deployed first in biomedical schools but now being implemented more broadly, the initial motivator of these research networking systems was to enable easier identification of collaborators and enable the development of teams for research. OBJECTIVE: The intent of the study was to provide the first description of the usage of an institutional research "social networking" system or research networking system (RNS). METHODS: Number of visits, visitor location and type, referral source, depth of visit, search terms, and click paths were derived from 2.5 years of Web analytics data. Feedback from a pop-up survey presented to users over 15 months was summarized. RESULTS: RNSs automatically generate and display profiles and networks of researchers. Within 2.5 years, the RNS at the University of California, San Francisco (UCSF) achieved one-seventh of the monthly visit rate of the main longstanding university website, with an increasing trend. Visitors came from diverse locations beyond the institution. Close to 75% (74.78%, 208,304/278,570) came via a public search engine and 84.0% (210 out of a sample of 250) of these queried an individual's name that took them directly to the relevant profile page. In addition, 20.90% (214 of 1024) visits went beyond the page related to a person of interest to explore related researchers and topics through the novel and networked information provided by the tool. At the end of the period analyzed, more than 2000 visits per month traversed 5 or more links into related people and topics. One-third of visits came from returning visitors who were significantly more likely to continue to explore networked people and topics (P<.001). Responses to an online survey suggest a broad range of benefits of using the RNS in supporting the research and clinical mission. CONCLUSIONS: Returning visitors in an ever-increasing pool of visitors to an RNS are among those that display behavior consistent with using the tool to identify new collaborators or research topics. Through direct user feedback we know that some visits do result in research-enhancing outcomes, although we cannot address the scale of impact. With the rapid pace of acquiring visitors searching for individual names, the RNS is evolving into a new kind of gateway for the university.

A multisite study of performance drivers among institutional review boards.

INTRODUCTION: The time required to obtain Institutional Review Board (IRB) approval is a frequent subject of efforts to reduce unnecessary delays in initiating clinical trials. This study was conducted by and for IRB directors to better understand factors affecting approval times as a first step in developing a quality improvement framework. METHODS: 807 IRB-approved clinical trials from 5 University of California campuses were analyzed to identify operational and clinical trial characteristics influencing IRB approval times. RESULTS: High workloads, low staff ratios, limited training, and the number and types of ancillary reviews resulted in longer approval times. Biosafety reviews and the need for billing coverage analysis were ancillary reviews that contributed to the longest delays. Federally funded and multisite clinical trials had shorter approval times. Variability in between individual committees at each institution reviewing phase 3 multisite clinical trials also contributed to delays for some protocols. Accreditation was not associated with shorter approval times. CONCLUSIONS: Reducing unnecessary delays in obtaining IRB approval will require a quality improvement framework that considers operational and study characteristics as well as the larger institutional regulatory environment.

Collaboration in Action: Measuring and Improving Contracting Performance in the University of California Contracting Network.

In 2013, the University of California, Biomedical Research, Acceleration, Integration, and Development (UC BRAID) convened a regional network of contracting directors from the five University of California (UC) health campuses to: (i) increase collaboration, (ii) operationalize and measure common metrics as a basis for performance improvement efforts, and (iii) identify and implement best practices to maintain a competitive edge in the field of biomedical research. This article summarizes an 18-month examination of performance metrics across the five campuses, including methods for data collection and harmonization agreed upon by the UC contracting offices. Some of the most striking, and previously unmeasured, results demonstrate that master agreements are a highly effective and successful strategy for significantly shortening the average time to completion of contract terms. Interestingly, clinical research organizations (CROs) significantly increase the time required to negotiate a contract. Results also point to the intra- and inter-organizational dependencies affecting time to contract execution. Systematic and transparent data collection among UC stakeholders is necessary to continue improvements to the system. However, data collection is only one component of the larger need to develop shared technology both within and between institutions. This study demonstrates that collaboration and sharing of contract terms is an effective way to reduce study activation time, but the greatest improvements will be driven by the sharing of data and technology tools.