Bioinformatic training needs at a health sciences campus

Abstract

Background: Health sciences research is increasingly focusing on big data applications, such as genomic technologies and precision medicine, to address key issues in human health. These approaches rely on biological data repositories and bioinformatic analyses, both of which are growing rapidly in size and scope. Libraries play a key role in supporting researchers in navigating these and other information resources.

Methods: With the goal of supporting bioinformatics research in the health sciences, the University of Arizona Health Sciences Library established a Bioinformation program. To shape the support provided by the library, I developed and administered a needs assessment survey to the University of Arizona Health Sciences campus in Tucson, Arizona. The survey was designed to identify the training topics of interest to health sciences researchers and the preferred modes of training.

Results: Survey respondents expressed an interest in a broad array of potential training topics, including "traditional" information seeking as well as interest in analytical training. Of particular interest were training in transcriptomic tools and the use of databases linking genotypes and phenotypes. Staff were most interested in bioinformatics training topics, while faculty were the least interested. Hands-on workshops were significantly preferred over any other mode of training. The University of Arizona Health Sciences Library is meeting those needs through internal programming and external partnerships.

Conclusion: The results of the survey demonstrate a keen interest in a variety of bioinformatic resources; the challenge to the library is how to address those training needs. The mode of support depends largely on library staff expertise in the numerous subject-specific databases and tools. Librarian-led bioinformatic training sessions provide opportunities for engagement with researchers at multiple points of the research life cycle. When training needs exceed library capacity, partnering with intramural and extramural units will be crucial in library support of health sciences bioinformatic research.

Fig 1. Interest levels in potential bioinformatic training topics.

Fig 2. Pairwise comparisons of interest levels in training topics.

All correlations significant after Bonferroni adjustment for multiple comparisons (p < 0.00091).

Fig 3. Training format preferences by participants' position.

Fig 4. Points of contact in the research life cycle between researchers and library personnel.

The four topics garnering the most interest (transcriptomic analyses, genome workbenches, general scripting, and variation databases) are shown at the points in a stylized research life cycle where experienced library staff may support health science researchers.