Institutional data reporting (IDR) is the process of submitting qualitative and/or quantitative data to an external entity such as an accreditor, governmental entity or ranking agency or publication for the purpose of encapsulating an accurate representation of the institution. Common external agencies are:
- U.S. Department of Education
- National Science Foundation
- Accreditors
- U.S. News and World Report (U.S. News)
Decisions start with data
The reporting process is integral to an institution’s accreditation, federal funding and reputation. In recent years, several higher education institutions have misreported student admissions and placement data, such as the U.S. News, which has elevated this area for increased scrutiny. As externally reported metrics can impact the reputation and standing of an institution, as well as the ability to recruit new students and solicit funds from alumni and donors, misreporting data may result in:
- Lower national and regional rankings
- Exclusion from ranking agency publications and/or guidebooks
- Declines in applications
- Financial implications due to potential lawsuits or sanctions
Unfortunately, many institutions find overseeing the IDR process difficult due to the following:
- No established data warehouse
- Challenges with systems utilized to maintain data and generate information
- Unclear and undefined data dictionary definitions
- Decentralized preparation of information and reports
- Ineffective quality control reviews for internal and external reports
- Lack of awareness of roles and responsibilities surrounding data reporting
- Miscommunication or lack of communication between departments
- Lack of a formalized process for retrieving, generating, calculating and reviewing data


