Input from researchers was the most effective tool for developing the model. A flexible research lifecycle model can be developed to match the needs of different service groups and the skills of different librarians.

Objective: The purpose of this paper is to report on a research impact assessment (RIA) project conducted by the Health Sciences Library (HSL) at the University of North Carolina at Chapel Hill (UNC-CH) for the Cancer Cell Biology (CCB) program in the institution's cancer center through bibliometric data analysis and visualization.Methods: A total of 642 publications produced by the CCB researchers from 2010 to 2014 was used as the original dataset. After the citations of these publications were cleaned and standardized, the citations were imported into selected bibliometric and other tools for quantitative analysis and visualization. Results:The CCB program at the UNC Lineberger Comprehensive Cancer Center had significant scientific output and citation impact in the examined five-year period, which was quantitatively measured not only by the total number of publications and citation counts, but also by comparative citation impact measures. In addition, the research collaboration network visualizations helped identify the most productive CCB researchers, the most highly cited CCB researchers, the research groups composed by co-authors, and the internal and external research partners. Further, the research topic visualizations confirmed the alignment of publication concentrations with the five core areas on which the CCB program has been focusing. Conclusions:The bibliometric data analysis and visualizations produced for this project were able to provide quick insights to the administrators in terms of identified patterns, trends, and gaps of the supported research activities.

Co-streaming classes have enabled library staff to extend open classes to distance education students and other users. Student evaluations showed that the model could be improved. Two areas required attention: audio problems experienced by online participants and staff teaching methods. Staff tested equipment and adjusted software configuration to improve user experience. Staff training increased familiarity with specialized teaching techniques and troubleshooting procedures. Technology testing and staff training were completed, and best practices were developed and applied. Class evaluations indicate improvements in classroom experience. Future plans include expanding co-streaming to more classes and on-going data collection, evaluation, and improvement of classes.

This paper addresses the following questions:What makes the community of practice concept an intriguing framework for developing library services for bioinformatics? What is the campus context and setting? What has been the Health Sciences Library's role in bioinformatics at the University of North Carolina (UNC) Chapel Hill? What are the Health Sciences Library's goals? What services are currently offered? How will these services be evaluated and developed? How can libraries demonstrate their value? Providing library services for an emerging community such as bioinformatics and computational biology presents special challenges for libraries including understanding needs, defining and communicating the library's role, building relationships within the community, preparing staff, and securing funding. Like many academic health sciences libraries, the University of North Carolina (UNC) at Chapel Hill Health Sciences Library is addressing these challenges in the context of its overall mission and goals.

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Consensus between informants is a valuable cue to a claim’s epistemic value, wheninformants’ beliefs are developed independently of each other. Recent work (Yousif et al., 2019) described an illusion of consensus such that people did not generally discriminate between the epistemic warrant of true consensus, where a majority claim is supported by multiple independent sources, and false consensus arising from repeated claims from the same sources. We re-examined this issue in two ways. First, a Bayesian re-analysis of the Yousif et al. (2019) results found that the evidence for the illusion of consensus was not as strong as originally claimed. Second, three experiments tested the hypothesis that the illusion of consensus only arises when people are unsure about the independence of the primary sources on which informant claims are based. When steps were taken to highlight the independence between data sources in the true consensus conditions, and confidence ina claim was measured against a no consensus baseline (where there was an equal number of reports supporting and opposing a claim), we eliminated the illusion of consensus. Under these conditions, more weight was given to claims based on true consensus than false consensus. These findings have implications for how people evaluate consensus and reason with dependent information. Our findings are relevant to the contemporary media context, where the (in)dependence of information sources can be obscured and lead to the appropriation of erroneous beliefs.

The Structural Bioinformatics Core Facility at the University of North Carolina at Chapel Hill (SBI Core) assists researchers university‐wide in computational structural biology techniques and incorporating structural biology/bioinformatics into their grants and publications. The SBI Core works with a diverse population of researchers from numerous departments and provides support to an ever‐changing body of research. The computational biology services provided by the SBI Core are data‐intensive and use a diverse and distributed set of applications for processing, data storage, and data management. As the amount of data and number of projects have increased, the SBI Core requires an effective strategy for managing data and facilitating data sharing between the SBI Core and the researchers it assists. The UNC‐CH Health Sciences Library (HSL) has begun a collaborative project with the SBI Core to identify the crucial data management needs and to envision new roles for the library in e‐science and data management. In partnership, the SBI Core and the HSL have identified major obstacles in data sharing, data management, and data access. Furthermore, the SBI Core and the HSL will develop solutions in which the library facilitates collaboration among campus resources and matches unmet needs to external resources. One of the library's goals in this proof‐of‐concept project with the SBI Core is to become a central campus resource for research support and data management.

What is the organizational impact of becoming a digital library, as well as a physical entity with facilities and collections? Is the digital library an add-on or an integrated component of the overall library package? Librarians see sweeping environmental and technological changes. The staff members feel exhilarated and challenged by the pressures to adapt quickly and effectively. Librarians recognize that a Web presence, like other technology components, must be continuously enhanced and regularly re-engineered. The Health Sciences Library, University of North Carolina at Chapel Hill, is reinventing its digital presence to better meet the needs of the community. This paper provides a case study focusing on major changes in planning processes, organizational structure, staffing, budgeting, training, communications, and operations at the Health Sciences Library.