The Technical Report Archive and Image Library (TRAIL), an open access digital library of U.S. federal technical reports, is now celebrating 10 years of existence. TRAIL is truly a labor of love, built from scratch and nurtured by a growing and passionate community of member organizations and volunteers. Through this group’s collective efforts, TRAIL has progressed from a small pilot (200 digitized documents) to the current library of 50,000+ technical reports, and contains content of interest to all disciplines. TRAIL provides an integrated website and search interface for discovery of reports from a range of federal agencies - well-known ones, such as the National Bureau of Standards (NBS), and obscure ones such as the Office of Saline Waters. This initiative is funded by its member organizations, including the Government Publishing Office (GPO), and works under the administration of the Center for Research Libraries (CRL). It represents a strong collaboration between government document librarians, subject librarians in academia, and the many partner organizations that support the digitization workflows (e.g., University of Michigan Google Book Project scanning) and donate content for digitization. This poster will describe TRAIL’s genesis and development, its growth in membership and volunteers (including our new no-cost “personal” membership option), lessons learned while fostering the LOVE and awareness of open access discovery and digital preservation, and future plans to increase the reach of TRAIL’s activities.
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.
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.