Description
The OER Data Collection process gathers course, student, and outcome data to evaluate the impact of Open Educational Resources (OER) on student success and affordability. By analyzing enrollment, grades, withdrawal rates, resource costs, and demographic trends across participating institutions, this initiative provides valuable insights into the effectiveness of OER adoption and its role in improving access to higher education while reducing textbook expenses.
Publication Date
Summer 6-10-2026
Publisher
University of New Mexico
City
Albuquerque
Recommended Citation
Hickman, Michael. "OER Data Collection." (2026). https://digitalrepository.unm.edu/nmoer_consortium_data/3
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Comments
Data Request Overview
To fully evaluate the efficacy of courses utilizing OER resources, data will be requested that will allow for the computation of the measures outlined in Tables 11 and 12 in the OER Proposal. Specifically, the following measures will need to be computed:
In order to compute these measures, we will need to collect data that includes course information, outcomes for each registered student, as well as some demographic information for each registered student. This data will be requested in the form of a csv document in which each row represents a student registered in the participating course and contains information related to the course, the student, and the outcome.
In addition to data being collected for participating courses during the timeframe of the grant, we are requesting that data also be collected for the 2022 and 2023 academic years to provide enough data to compare before and after the introduction of OER resources. In total, we are requesting data for the following terms: Fall 2022, Spring 2023, Fall 2023, Spring 2024, Fall 2024, Spring 2025, Fall 2025, and Spring 2026.
A detailed summary of the requested information can be found in the table at the end of this document.
Collection Method
To collect the data a secure, FERPA-compliant drop off location will be provided to each participating institution. The exact method has not been determined yet, but an example of a possible method would be a protected one-drive folder managed by UNM IT.
Requested Data
Column
Description
Notes / Accepted Values
institution_id
A unique identifier for your institution.
course_code
Subject/number code identifier for a course. Ex: ENGL 1110
If course codes have changed over the last couple terms, translate older codes to their most recent equivalent.
course_title
The title of the course. Ex: Composition I
instructor_id
Unique identifier for the instructor of the course
oer_status
Indicates to what extend the course used OER
resource_cost
The cost of the course’s learning materials paid by the student.
student_id
Unique identifier for a registered student.
term_taken
The academic period in which the term was taken.
Should be formatted as Fall/Spring followed by the year. Ex: Fall 2022
gender
The student’s gender
ethnicity
The ethnicity of the student.
time_status
The time status of the student.
pell_recipient
Indicates if the student was a pell recipient in the term taken
lottery_recipient
Indicates if the student received lottery in the term taken
final_grade
The grade the student received.