Why Data Literacy?
Why do we care about the credibility, ethical use, and citation of data?
- Reduce harm or negative consequences to individuals referenced in data
- Reproducibility
- Accuracy
- Develop authority in your work
Basic Elements of Data Citation
- Author (who created/collected the data?)
- Title (name of the dataset)
- Source (where did you find the data?)
- Date (when did you access it?)
- Persistent Identifier (URL or DOI if available)
Adapted from:
Be sure to use formatting from the style guide you are using (i.e., MLA, APA, Chicago, etc.). Check out Purdue OWL for style-specific guidelines.
Assessing Credibility
Elements to consider when evaluating credibility:
- Source
- Author
- Collection method
- Statistical method
- Purpose
- Currency
- Units and scale
- Bias in any of the above
- Compare with other sources
-
Data Planet's Data BasicsFind answers to questions of determining data credibility, evaluating others' interpretations, and communicating your own findings.
Use Data Ethically
-
National Student Data Corps VideosShort videos teach principles of ethically data use.
Library Books
-
Understanding Statistics and Experimental Design
by
This open access textbook provides the background needed to correctly use, interpret and understand statistics and statistical data in diverse settings. Both non-scientists and students in Biology, Biomedicine and Engineering will benefit from the book by learning the statistical basis of scientific claims and by discovering ways to evaluate the quality of scientific reports in academic journals and news outlets.
ISBN: 9783030034993Publication Date: 2019 -
Data Information Literacy
by
Given the increasing attention to managing, publishing, and preserving research datasets as scholarly assets, what competencies in working with research data will graduate students in STEM disciplines need to be successful in their fields?
ISBN: 9781612493510Publication Date: 2015
