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Internal Transparency Process

The Data Governance model is borrowed from the healthcare industry to help with transparency and constituent agency. The idea here is that any survey that is done internally or externally that gathers data that affects constituents should allow for their voice in the process. There are three major components to the process are data communication, data analysis, and data governance. Each of these has a corresponding committee that addresses the items below.  

The process is iterative rather than linear. For example, as we prepare for our next COACHE survey, we can:

Data Communication

Help to prepare our faculty for what’s coming on the survey

Data Analysis

Determine how this data intersects with other survey data we have and may gather

Data Communication

Communicate about what was operationalized after the last time

Data Governance

Anticipate who we will disseminate the data to, in what form, and with what protections in place

This model and process doesn’t take away from operational duties or outside vender responsibilities but instead aids in the process for the benefit of our faculty. It increases trust, cultural buy-in, and leverages what we can do with efforts already in place.  New projects will flow in and between the data analysis, governance, and communication committees. The governance of data access and communication will be faculty-led to assure transparency of both the process of the data presentation as well as how it will be used to address faculty-designated issues and needs across campus. Access to the survey data as well as how to navigate the data as presented will be addressed to develop an ethos of openness and trust. If you have any questions or requests around data access and interpretation, please contact the COACHE Executive Committee.

COACHE Survey Administration Data and Anonymity 

COACHE collects data confidentially, only using identifiable data such as emails to send reminders to non-respondents, which are not revealed to DU.

The COACHE team at Harvard analyzes the data and provides DU’s Data Analysis Committee, part of our Shared Data Governance Model, with a preview report.

Mike Furno, Assistant Vice Provost, Institutional Research & Analysis, is the data administrator for this project at DU and receives the data in de-identified form, which can be shared with the committee. These records are held securely and no one in a supervisory or evaluative capacity has access to individual responses. The Data Analysis Committee can do analysis of the individual-level observation data (still de-identified), but only aggregate results are shared with administrators and faculty, and only when there is a sufficient number (at least 5) of responses to protect the anonymity of respondents. The de-identified data could be used for future research at DU without additional consent from participants. Please reach out with any additional questions to the Office of Vice Provost of Faculty Affairs and COACHE Executive Committee.

COACHE Timeline

2023Survey
Spring Quarter 2020Engagement
Spring Quarter 2020Spring Quarter 2020
Spring Quarter 2020 Share Results
March 2020Share Results
Winter Quarter 2020Data Analysis
February 20, 2020Engagement
December 2019/January 2020Data Analysis
January 2020Share Results
November 2019Receive Results
November 2019 Receive Results
October 2019Survey
Summer 2019Survey
Spring 2019Survey