HNFE 1114 - Orientation to HNFE - FYE: Getting Started

Resources, tools, and techniques for library research in Human Nutrition, Foods, Exercise, and related topics.

HNFE Librarian

Erin M. Smith's picture
Erin M. Smith
Contact:
Newman Library, Room 3033
540.231.5663

Getting Started

A few tips to get you started:

1. Don't be afraid to ask for assistance.  Simply contact your librarian/s directly!  

2. Use our Discovery Search to conduct a Google-like search of most of our library resources.  

3. When searching Discovery, Google Scholar, or any of the databases that we recommend, break your research question into keyword, rather than typing in the entire sentence or question. Click here to read more about strategies for creating good keyword searches.  

4. If you're doing research from off campus, make sure you sign in to the Central Authentication System (CAS) to have access to our print and online resources.  Also, check out these other cool resources for our users off-campus. 

5. When trying to access articles and other resources, look for the Get VText link or icon. 

6. Interlibrary Loan (ILLiad) Service - a free service to get journal articles, book chapters (even if we own a copy), books, and more that VT does not own or subscribe to, don't pay to access research sources you need - use Illiad to request materials for free. 

Additional VT Resources

Writing Center

Writing Center at University Libraries - "We work with writing and reading assignments from any course in the University. We can also help you with writing projects that are not linked to classes."  For Northern Virginia Students: Writing support available via Skype, by appointment only. Email the Writing Center (writingcenter@vt.eduto make an appointment.

Lynda.com is your one stop shop for online tutorials and training in a variety of software suites and programs. Access is free to current Virginia Tech students, faculty, and staff.

The statistical collaborators within the Department of Statistics have been trained to help you design experiments, analyze and plot data, run statistical software (like SPSS, JMP, R), interpret results and communicate statistical concepts to non-statisticians.  See their website for more information. 

The Data Viz Studio is a space where students and faculty can discover and learn how to present their data in beautiful and meaningful ways. Come for consultations, workshops, ideation sessions, and group or individual tutorials on all things covering data visualization, design, interaction, and communicating information graphically.

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