1. 2019-2020 CSI Human Resource (HR) Data Collection Prep
06/13/2019

2. Overview of Collection
All General Education Staff information
Contractors are included in this collection
Official staff count date: December 1st, 2019
Collected information is used for:
school staff demographics
average salaries by position and education level
highly qualified status for teachers and paraprofessionals
turnover rates
educator effectiveness ratings
  Important: The HR Collection data is manually entered – meaning likelihood of errors increases.

3. Collection Best Practices
Start early by:
Beginning to work on this collection over the summer
Entering all new staff as they are hired
Reviewing file and note any assignment or staff changes
Set aside time each week to work on this collection
Know your resources and tools for this collection

4. Using CSI Resources General Resources:
All resources found on the Human Resources Data Collection page of the Data Submissions Library
General Resources:
Strong tool: Resource for all Level 1 and Level 2 Errors
Print this or mark HR submissions date on your calendar

5. Using CSI Resources Trainings:
All resources found on the Human Resources Data Collection page of the Data Submissions Library
Trainings:
{10 min}
{25 min}
{45 min}
New schools - use this training.

6. Using CSI Resources
All resources found on the Human Resources Data Collection page of the Data Submissions Library
Very strong tools
New schools – use these

7. Human Resources Prep Steps
Review the materials and resources found on the Human Resources Data Collection page of the Data Submissions Library – including last year’s training if you’d like a refresher. Utilize the tools and forms there to understand what data needs to be collected, how to record it in preparation for data submission to CSI later this year.
Returning schools, access your Starting Point Files in FileZilla and save them to your school’s network. General instructions for making changes to the file will follow.
New schools, utilize the templates on the Human Resources Data Collection page of the Data Submissions Library as your Starting Point. General instructions for adding data to the file will follow.

8. Returning Schools: Starting Point Files in FileZilla
Returning schools - the Starting Point File is the HR data submitted to CSI last year. It contains all Staff Profile and Staff Assignment data.
To access your Starting Point files, use this path in FileZilla: HR/SY 19-20/Starting Point (see screenshot below).
Download the files by dragging and dropping to the applicable folder on your school network.

9. Returning Schools: Starting Point Files in FileZilla (continued)
When you open the file, you’ll see that CSI has highlighted the fields in your Starting Point Files that match the changes in the File Layout – as applicable. Examples are below.
Staff Assignment Starting Point File Example
General Editing Steps
Remove rows for staff that won’t be employed at the school in
Add rows for staff that are either new to the school or are taking on an additional role at the school.
Change key fields (years of experience, salary, assignments, etc.) for returning staff as appropriate.
Populate newly required/clarified fields.
Consider who your contract workers are and make sure they are accounted for.

10. New Schools: Using Templates for New Files
New schools – because you won’t have a Starting Point file, you’ll use the templates instead.
As mentioned above, the templates are found under the HR Data Entry and Verification Resources section of the Human Resources Data Collection page on the Data Submissions Library
These are screenshots examples of the templates.
You’ll be creating records by manually entering data within the file for all existing and new staff as well as contactors.

11. 2019-2020 Staff Assignment Changes
Removals:
‘Demonstrates In-field Status’ field:
Removed code ‘06’ from Demonstrates In-Field Status as it is no longer an option.
Additions:
New Job Classification Code: 2800 – New teaching subject area code for JROTC/ROTC

12. If you have questions or need assistance, please send an request to the CSI Data Submissions team:
Thank you!