Poster presented at the 2019 Special Libraries Association (SLA) annual conference.
Abstract: In 2018, the University of Cincinnati Libraries’ Research & Data Services (RDS) unit unveiled a new Visualization Laboratory (Viz Lab) and expanded service model including data visualization/data analysis. The RDS unit has its roots in STEMM and currently includes informationists, librarians and technical consultants who engages with researchers across all disciplines. The Viz Lab and its associated services are the culmination of several years of planning and implementation. This poster will share lessons learned and good practices with our visualization space and service planning, including considerations for space design, service and training models, staffing and assessment. In addition, this poster will describe the early impact of our efforts, as seen through consultation logs, trainings and campus outreach, space usage and grants activity. We will also reveal some future directions for RDS, including plans to increase integration of the Viz Lab and data visualization/data analysis services into the university’s teaching and research missions.
Acknowledgments: Amy Koshoffer, for creation of the Research & Data Services consultation log dataset and database structure.
As an increasing number of universities expand programs globally, libraries are seen as an essential partner for this endeavor. Some library units are fully or semi-fully integrated into these academic programs. The University of Cincinnati (Ohio, USA) and Chongqing University (Chongqing, China) introduced the first co-operative engineering education program in China in 2013. Since this time, the University of Cincinnati library has been striving to connect American faculty and Chinese students in three main areas:
1.utilizing library websites and social media for reference, instruction, and outreach;
2.playing a peer role for traveling faculty with course materials, elearning, and basic technical support;
3.developing a sustainable relationship with matching librarians in Chongqing for collection development and beyond.
This presentation is intended to share experience and practices with librarians in similar positions, as well as administrators looking to develop a similar position.
Scholar@UC - scholar.uc.edu - is the faculty self-submission repository currently in development at the University of Cincinnati (UC). Using the Hydra framework, this system comes in an environment of dramatic change: new partnerships across campus and with other entities, new engagement with faculty and stakeholders, growing needs for internal staff job development, and development of new researcher services. The UC Libraries is lean on staffing in comparison with its peers, so we face unique challenges that require flexibility and creativity. We embrace both nimble processes and a strong sense of risk-taking, to ensure that Scholar@UC becomes a critical enterprise system. This panel reflects on three aspects of our engagement and development efforts. First, we will discuss outreach efforts to bring together a small set of “early adopter” faculty, and the process of assembling feedback in a personalized, interview-based setting. Then, we will discuss the process to transform this feedback into functional use cases that prioritize needs and desires. Finally, we will discuss building a small and high-functioning software development team, and collaboration with UC’s central IT department and other local/national development efforts. We think this presentation will offer insight for other institutions with ambitious agendas and limited means.
This poster was presented at the 2016 Research Data Access and Preservation (RDAP) meeting. It examines the challenges and opportunities of a self submission institutional repository (IR), especially as they relate to dataset submission, and for both researchers and librarians. It also explores how researchers can maximize the impact of their works through an IR submission by including rich metadata and the links to other discovery systems. In particular the poster examines how Dr. Eric J. Tepe's submission to the IR is visualized within the IR and how it connects to the external systems of ORCID and iDigBio.
The purpose of this project is to consider and evaluate the economic attractiveness of a process producing 250,000 lb/h of acetic acid by the selective carbonylation of methanol via carbon monoxide with the use of an iridium tri-iodide catalyst. Initial cost estimates of this process will be completed prior to the completed rigorous design to ensure the process is economically viable and meets product specifications. A full cost analysis will then be made on the initial design to further verify the process will meet product specifications and is economically attractive to the business. A recommendation to continue investigating will be made based on the analysis of the investment cost and annual operating costs of this reaction/separation system.
An economic analysis was performed on the selected design. The total capital cost for this project is $145 million, with a yearly utility and incremental cost of $62 million and $90 million, respectively. The required ten-year return on investment was found to be 15%, when the Acetic Acid is sold at a price of $437 /ton. When the Acetic Acid is sold at $745/ton (achieves 15% 1-year ROI), an ROI of 547% is achieved for a 10-year period. In order to achieve a five-year ROI of 15%, the selling price of Acetic Acid is only increased to roughly $455/ton.
This Poster describes a collaborative research project between the Culley and Tepe labs in the UC Department of Biology and UC Libraries Digital Scholarship Center presented at the 2017 UC Data Day ( https://libapps.libraries.uc.edu/blogs/dataday/past-data-days/). The project explores publication patterns of research involving hotspot areas of biodiversity and if researchers from developing countries which tend to have most of the biodiversity hotspots, are adequately represented as authors in the scientific literature indexed in Scopus (TM-Elsevier), JSTOR, and PubMed.