Institutional data are an important strategic and ever-growing asset of the University. Data Governance is the coordination and collaboration of people, processes and technology across the University to manage institutional data—a framework that establishes overarching principles and guidelines to inform policies and procedures to manage data acquisition, classification, accessibility, integrity, security, retention, disposal and privacy. Essentially, it is central to knowing where, when, with whom and how we share and store data.
Institutional Data Definition
All data that is created, owned, received, stored, or managed by Villanova University. This includes all data that the University is legally or contractually obligated to secure.
Institutional Data includes all forms of information, records, or documents in paper or electronic format, including but not limited to word-processing or portable document format files, spreadsheets, databases, e-mails, web pages, images, and videos. Institutional Data does not include documents, records or other data owned by members of the Villanova community that is for personal use or otherwise unrelated or incidental to any business or educational purpose of the University.
Institutional data, that is currently under the scope of the data governance policies, is defined as administrative, academic and data gathered through University administered surveys predominantly used for administrative reporting and decision-making purposes.
- Faculty scholarly research data (Notwithstanding the exclusion of faculty scholarly research data under this Policy, researchers should keep in mind that such data may still be governed by other contractual or legal obligations of the University).
- Any health, advising, disability or any other data that are governed by stringent confidentiality and privacy policies
Our vision is that the data governance process will help enable the following:
- One source of truth
- Analytics and reporting based on accurate and reliable data
- Promote operational efficiency and consistency
- Better transparency and accountability
- Mitigate risk related to data management and access
- Ensure privacy and confidentiality
- Ethical use of data
- Improve user experience and agility
- Compliant with federal and state regulatory requirements
- Change Management
Any individual who interacts with any University administrative data systems—enters data, manages, curates and uses it for reporting, planning and/or decision-making.
The Data Governance Ecosystem depicts the continual interrelationships
of people, processes and technology—the Data Governance Committee
comprising of the Data Governance Board and the Data Stewards Committee
are responsible for developing and maintaining the standards and the
policies that will help guide the set-up of the centralized data
environment, and how data is managed and consumed by the various