Transfer Pathways DataPilot


Since 2011, ONCAT has supported the development and implementation of transfer pathways between colleges and universities that respond to student demand, labour market needs, and community/regional priorities. While hundreds of pathways have been launched, there has been no systematic monitoring of student uptake of such pathways or subsequent outcomes. Improving institutional capacity to monitor and report on pathway traffic and associated student outcomes (e.g., graduation rates) is key to the development of a more robust and seamless transfer system. Over the next three years, ONCAT is committed to working with our partners to improve the capacity for pathway monitoring across Ontario colleges, universities, and Indigenous Institutes.
As a first step towards this broader goal, ONCAT is launching a call for publicly assisted colleges, universities, and Indigenous Institutes in Ontario to participate in a pilot to assess student uptake of transfer pathways, along with the characteristics and outcomes.


Become a DataPilot Partner Institution

ONCAT is aiming to work with a cross-section of Ontario postsecondary institutions with varying levels of reporting capacity and resources, to inform the development and sharing of procedures and “best” practices. To date, ONCAT has worked with seven postsecondary institutions to participate in the first phase of the DataPilot: Algoma University, Fanshawe College, First Nations Technical Institute, Lakehead University, Mohawk College, Ontario Tech University, and Trent University.
Institutions that participate in this DataPilot will receive:
  • Funding to support in-house data clean-up, linkage, and analysis focused specifically on transfer students. Funding will range from $5,000-$50,000, depending on the scope of work and level of reporting agreed upon by ONCAT and each participant.
  • Pilot Partner Learning Forums: Institutions selected will participate in 2-3 meetings to share approaches, learning, and recommendations.

Project Deliverables

This pilot is intended to support institutional capacity-building, with the intent of improving reporting and tracking of transfer student in the sector. All information provided to ONCAT through this project will remain confidential.

The main deliverable is a report that includes:

  1. Data on transfer student uptake and outcomes (anonymized and/or aggregate data depending on what is most feasible for the institution). Data elements could include:
  • Counts of transfer applications & registrations
  • Admission averages
  • Average credits awarded for students traveling different pathways
  • Completion rates by pathway types
  • Transfer student demographics (e.g., Gender)

*Note: Collection of OEN and personal information data fields are not required

  1. Examples of technical details and resources used (e.g., syntax for analysis, process maps)
  2. Reflection on data reporting enhancement opportunities/feasibility challenges

Project Timelines

  • Expression of Interest deadline: February 26, 2021
  • Confirm Partners & Approvals: by March 2021
  • Kickoff meeting: Spring 2021
  • Data reporting activities completed by: Winter 2022
  • Learning Forum: Winter 2022

How to Apply

  • Based on the success of the pilot, we plan to expand the strategy, accept additional institutions, and manage a second cohort.
  • If you are interested in joining this DataPilot, please submit a brief expression of interest through our online portal here.
  • The Expression of Interest will request information on:
    • Key personnel involved (ie. Institutional Research, Registrar)
    • Specific data fields and timespan you are able/willing to report on
    • Basic information on transfer student population at your institution (e.g. using CT flag count), as well as articulated pathways count
    • Endorsement from appropriate institutional decision-makers (e.g. Registrar, Institutional Research, VP Academic) to participate in project
  • For more information and If you would like to discuss the DataPilot, please reach out to: