LibGuides: ENGL 299 (Frazier): Research Tips to Remember

Research Techniques Suggested by your Librarian

In our library research session, we suggested:

Use a variety of sources;
Experiment with keyword combinations;
Use Filters to fine-tune your results;
Use the thesaurus in the database to identify variations on your keywords;
Use Google Scholar (natural language searching) and link it to your library sources;
Limit Internet searches by domain (example was .gov);
"Reverse Engineer" Wikipedia (example was Nella Larsen's wikipedia entry);
When searching the Internet, remember to Fact Check your source with techniques such as Lateral Reading (example used was Kip and Alice Rhinelander);
Google Scholar also allows you to search Case Law, as well as articles (Rhinelander case);
Search Specialized Databases (Example was LGBTQ+).

Census, Race, Gender, and Bias

"omitting groups from data is a form of erasure"
Kreckman, A. (2020). ACS Inclusivity style Guide-Data visualization. https://doi.org/10.1021/acsguide.60114

https://www.census.gov/about/what/data-equity.html

https://www.census.gov/topics/population/race/about.html

https://www.census.gov/library/stories/2023/09/2020-census-dhc-a-race-overview.html

https://www.census.gov/library/stories/2023/12/2023-year-in-review.html

https://www.census.gov/library/stories/2023/10/2020-census-dhc-a-black-population.html

https://www.census.gov/newsroom/blogs/random-samplings/2021/08/improvements-to-2020-census-race-hispanic-origin-question-designs.html

the Urban Institute's Do No Harm Guide: Applying Equity Awareness in Data Visualization recommends that racial and ethnic categories include “another race”, “additional groups”, “all other self-descriptions”, “people identifying as other or multiple races”, “identity not listed”, and “identity not listed in the survey”.