Cal Poly's Digital Publishing Glossary


A team of librarians at the Robert E. Kennedy Library collaborated to define (non-neutrally) terms you’re likely to encounter, and may need to understand further, for authoring digital products for others to engage with.  This glossary provides a common vocabulary, a subjective viewpoint in using a common language as a start for digital standards (what is 'publishing,' for example, and how do you do so?).  The team consists of jaime ding, Zach Vowell, Russ White, Laura Sorvetti, and Catherine Trujillo, with additional help from Danielle Daugherty and Mercedes Rutherford-Patten.

 

How to use this glossary 

This glossary consists of 162 terms.

 

 

public domain

definition definition

 

U

EXAMPLE

https://en.wikipedia.org/wiki/Public_domain;

TOOLS

https://en.wikipedia.org/wiki/Public_domain;

public domain

being available to the public as a whole, shared access; attribution is not lost. the phrase is often linked with the thought that the work is not protected by “intellectual property rights”  

example

Your content goes here. Edit or remove this text inline or in the module Content settings. You can also style every aspect of this content in the module Design settings and even apply custom CSS to this text in the module Advanced settings.

Tools

fairuse

Monetary cost:

related terms

public, licensing

DATA LITERACY

understanding how information is coded into data and how it is used for specific purposes – how does data interact with your life *Russ is going to pull from Data Science Group; needs to understand algortihm bias (understanding how data operates), the foundation for Data Science

example

Census data masks phenomneon by asking questions, Google algorthims bias. Personal, Publoic (civic), and Professional contexts

related terms

Quantitative Reasoning, Numeracy, maths, Machine Learning, AI, Data Science, Information Literacy

data literacy

Understanding how information is coded into data and how it is used for specific purposes – how does data interact with your life *Russ is going to pull from Data Science Group; needs to understand algorithm bias (understanding how data operates), the foundation for Data Science

The ability to create and critique arguments using data and quantitative evidence

topic

Quantitative Reasoning, Numericy

Related terms

Quantitative Reasoning, Numeracy, maths, Machine Learning, AI, Data Science, Information Literacy .

Creative commons

A global nonprofit organization that enables sharing and reuse of creativity and knowledge through the provision of free legal tool to increase the amount of openly licensed creativity in “the commons” by providing copyright licenses and public domain tools that give every person and organization in the world a free, simple, and standardized way to grant copyright permissions for creative and academic works; ensure proper attribution; and allow others to copy, distribute, and make use of those works.

https://creativecommons.org/.

open source

A software for which the original source code, design documents, or content of the product is made freely available and may be redistributed and modified according to the requirement of the user.
The open-source model, in which open-source software or other products are released under an open-source license as part of the open-source-software movement. Use of the term originated with software, but has expanded beyond the software sector to cover other open content and forms of open collaboration.

data literacy

Understanding how information is coded into data and how it is used for specific purposes – how does data interact with your life *Russ is going to pull from Data Science Group; needs to understand algorithm bias (understanding how data operates), the foundation for Data Science

The ability to create and critique arguments using data and quantitative evidence

topic

Quantitative Reasoning, Numericy

Related terms

Quantitative Reasoning, Numeracy, maths, Machine Learning, AI, Data Science, Information Literacy .