Back in December 2016 we conducted a training needs assessment. You may remember it making the rounds on one of our regional email lists, or for it’s length (50+ questions) and attention to detail (covered 15+ professional competencies and 100+ NLM products). We are pleased to announce the results of our needs assessment. Read the full report, highlights below.
PS: the NEO (National Evaluation Office) did a great post on how to create Dot Plots, a method for visualizing data which we used in our analysis.
We wanted to discover needs, explore preferences and gather feedback from our community.
We had 3 broad questions – why do users take NNLM classes, how do our users prefer to learn, and what are our users training needs. We also wanted to know what skill levels our users considered themselves at now, and where they wanted to be.
559 people responded. The largest represented NNLM regions were Midcontinental Middle Atlantic, Greater Midwest & Pacific Southwest.
In terms of type of work environment, 33% identified as academic health science libraries, 32% were hospital libraries, and 35% were everything else: public/higher education libraries, K-12 education, corporate/industry, public health, consulting, and nonprofits.
People take NNLM Classes to improve and to learn. Less important motivations are for a job requirement, for AHIP credit, or to network.
Our users like live online webinars and face to face classes the best. They also enjoy short videos and self-paced online classes.
Most everyone is using a computer, 77% can play sound, but only half can speak aloud during a class without disturbing someone else. 21% use a tablet or phone.
For professional skills, users desire expertise in instruction, literature searching, EBM & open science.
For NLM products, users desire expertise in level skill in clinical information resources (e.g.: PubMed Health, PubMed Clinical Queries, Practice Guidelines), full text access (e.g.: DOCLINE/InterLibrary Loan, LinkOut, PubMed Central, Bookshelf) and PubMed.
Users consider themselves novices at bioinformatics, NLM Data extraction tools (e.g.: eUtilities, MedlinePlus Connect) and vocabulary & ontologies for use in medical information systems (e.g.: UMLS & source vocabularies).
Our 2016 NNLM Training Needs Assessment revealed top training needs which we will use to guide future class offerings. Our full report offers insight to how that can happen.
To everyone who provided feedback on the needs assessment, thank you.
For questions or comments email us at email@example.com.