Cal Poly's Digital Publishing Glossary


 Kennedy Library's Digital Publishing Glossary provides a subjective viewpoint for a common language as a foundation for digital standards (what is 'publishing,' for example, and how do you do so?). This collaborative project at Kennedy Library aims to create a common vocabulary to define terms the Cal Poly community is likely to encounter, and made need to understand further, for authoring or engaging digital projects.
The team consists of jaime ding, Zach Vowell, Russ White, Laura Sorvetti, and Catherine Trujillo, with additional help from Sarah Lester, Danielle Daugherty and Mercedes Rutherford-Patten.


How to use this glossary

   This glossary consists of 115 terms, and is currently under construction. The following are design examples of what is to come:  
Library

(n.) The Kennedy Library is an academic infrastucture comprised of people with specialized expertise who connect the community to information resources with an emphasis on thinking critically about information. The library provides networks and spaces, to access, collaborate and apply information, for lifelong learning for the Cal Poly, California and wider community.
the group 

Tools

Example

Cost

Related Terms

This group: Jaime, Russ, Laura, Cate, Zach, and the many other people at Robert E. Kennedy Library

2020-2012 REK Annual Budget is $7.4 million
Data

Data is information that is recorded and represented from observation. Data is produced through a process of encoding or organizing information to be interpreted by machine and human users. Data can be quantitative (numeric) and qualitative (subjective) , can be continuous or categorical (standards). Data are a product of human systems, and hence will have biases that the people and systems. Data are often structured to facilitate analysis; before the synthesis to an argument. The map is not the territory, and Data is not reality.
the group, with inspiration from “It’s Data, Not Reality” Medium Article

Tools

Example

Cost

Related Terms

Data Tools from Russ White

Palladio

Data must be constructed and maintained over its lifecycle Data Life Cycle; Key Terms to Intro Statistics

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 .