Neil Rambo

The New York University (NYU) Health Sciences Library used a new method to arrange in-depth discussions with basic science researchers. The objective was to identify collaborators for a new National Library of Medicine administrative supplement.The research ...

A need was identified by the Department of Population Health (DPH) for an academic medical center to facilitate research using large, externally funded datasets. Barriers identified included difficulty in accessing and working with the datasets, and a lack of knowledge about institutional licenses. A need to facilitate sharing and reuse of datasets generated by researchers at the institution (internal datasets) was also recognized. The library partnered with a researcher in the DPH to create a catalog of external datasets, which provided detailed metadata and access instructions. The catalog listed researchers at the medical center and the main campus with expertise in using these external datasets in order to facilitate research and cross-campus collaboration. Data description standards were reviewed to create a set of metadata to facilitate access to both externally generated datasets, as well as the internally generated datasets that would constitute the next phase of development of the catalog. Interviews with a range of investigators at the institution identified DPH researchers as most interested in data sharing, therefore targeted outreach to this group was undertaken. Initial outreach resulted in additional external datasets being described, new local experts volunteering, proposals for additional functionality, and interest from researchers in inclusion of their internal datasets in the catalog. Despite limited outreach, the catalog has had ~250 unique page views in the three months since it went live. The establishment of the catalog also led to partnerships with the medical center’s data management core and the main university library. The Data Catalog in its present state serves a direct user need from the Department of Population Health to describe large, externally funded datasets. The library will use this initial strong community of users to expand the catalog and include internally generated research datasets. Future expansion plans will include working with DataCore and the main university library.

Informationists at NYU Health Sciences Libraries (NYUHSL) successfully applied for a NLM supplement to a translational research grant obtained by PIs in the NYU School of Medicine Department of Otolaryngology titled, “Clinical Management of Cochlear Implant Patients with Contralateral Hearing Aids”. The grant involves development of evidence-based guidelines for post-implant management of patients with bimodal cochlear implants. The PIs are also seeking to acquire new data sets to merge with grant-generated data. In light of the shifting data requirements, and the potential introduction of additional datasets, informationists will evaluate and restructure the data model and data entry tool. Report queries will be refined for the new data model and options for a query tool appropriate for users unfamiliar with query languages will be assessed and implemented. The services offered through this supplement represent the deepest and most detailed data management support offered by NYUHSL to date. The components of the supplement are being analyzed as a pilot of a broader offering of these data management services.

Two supplements were awarded to the New York University Health Sciences Libraries from the National Library of Medicine's informationist grant program. These supplements funded research support in a number of areas, including data management and bioinformatics, two fields that the library had recently begun to explore. As such, the supplements were of particular value to the library as a testing ground for these newer services.This paper will discuss a supplement received in support of a grant from the National Institute of Dental and Craniofacial Research (PI: Brian Schmidt) on the role of proteases and peptides in cancer pain. A number of barriers were preventing the research team from maximizing the efficiency and effectiveness of their work. A critical component of the research was to identify which proteins, from among hundreds identified in collected samples, to include in preclinical testing. This selection involved laborious and prohibitively time-consuming manual searching of the literature on protein function. Additionally, the research team encompassed ten investigators working in two different cities, which led to issues around the sharing and tracking of both data and citations.The supplement outlined three areas in which the informationists would assist the researchers in overcoming these barriers: 1) creating an automated literature searching system for protein function discovery, 2) introducing tools and associated workflows for sharing citations, and 3) introducing tools and workflows for sharing data and specimens

The University of Washington Health Sciences Libraries and Information Center BioCommons serves the bioinformatics needs of researchers at the university and in the vibrant for-profit and not-for-profit biomedical research sector in the Washington area and region. The BioCommons comprises services addressing internal University of Washington, not-for-profit, for-profit, and regional and global clientele. The BioCommons is maintained and administered by the BioResearcher Liaison Team. The BioCommons architecture provides a highly flexible structure for adapting to rapidly changing resources and needs. BioCommons uses Web-based pre- and post-course evaluations and periodic user surveys to assess service effectiveness. Recent surveys indicate substantial usage of BioCommons services and a high level of effectiveness and user satisfaction. BioCommons is developing novel collaborative Web resources to distribute bioinformatics tools and is experimenting with Web-based competency training in bioinformation resource use.