Employee Database

How It Works

The employee database and its API Plugin are tools that can be used in conjunction with one another to display information about employees in campus departments. This page will walk you through using the Employee Database block on your page to display employee information.

Instructions

  • Create the "Employee Database" block and add it to your site.
    • Go to "Add Content" > "Blocks" > "Row Blocks" and select the "Employee Database" Block.
  • Navigate to the Employee Database API Plugin  and retrieve the numerical codes to enter into the Block.
    • Select the "School" or "College" you are looking for.
    • Select the "Department" you are looking for.
    • Select the "Type" of employee you are looking for.
    • Select the "Tag" associated with that employee Note: Some departments don't use tags, the query will revert to "Type" if this is the case.
  • Take note of the numerical values of the School/College, Department, Type and Tag produced by the API.
  • Back in Cascade, edit the "Employee Database" block you created. Enter the information generated from the API into the appropriate fields.
  • Submit your changes.
  • Publish your changes. NB: the Employee Database block does not display fully in Cascade, but only on the live site. Cascade will only display the numerical values retrieved from the API. 

Breakdown of the API codes.

  • School ID: Each school within the database is referenced by a unique ID. 
  • Department ID: In combination with the school ID, this identifies your department within the Faculty Database. 
  • ID(s): Each person in the system is associated with a personnel "type" (Professor, Adjunct, Staff, etc.), and you can filter by these IDs.
  • Tag ID(s): Some departments choose to further categorize by research area or specialty with tags.

 apiv2crop.jpg

data-base-feilds.jpg

The section below is an example of what you should see after attaching the employee database block.

Cheyenne Laue

Instructor

Research Interests

Evolution of Cultural and Technological Complexity

Genotype - Phenotype Maps and Fitness Landscape Modelling

Population Genetics Modeling/ Mathematics/ Theory

Ethics in Computing Sciences

Digital Ethnography

Computational Ethics

Data Bias and Data Governance

Privacy

 

Projects

Genotype - Phenotype Maps and Technological Complexity

Consciousness, Empathy, and Artifical Intelligence

Cultural Evolution and Demography in Pre-historic Greenland