Read this if you are an Institutional Research (IR) Director, a Registrar, or are in the C-Suite.
In my last blog, I defined the what and the why of data governance, and outlined the value of data governance in higher education environments. I also asserted data isn’t the problem―the real culprit is our handling of the data (or rather, our deferral of data responsibility to others).
While I remain convinced that data isn’t the problem, recent experiences in the field have confirmed the fact that data governance is problematic. So much, in fact, that I believe data governance defies a “solid,” point-in-time solution. Discouraged? Don’t be. Just recalibrate your expectations, and pursue an adaptive strategy.
This starts with developing data governance guiding principles, with three initial points to consider:
- Key stakeholders should develop your institution’s guiding principles. The team should include representatives from areas such as the office of the Registrar, Human Resources, Institutional Research, and other significant producers and consumers of institutional data.
- The focus of your guiding principles must be on the strategic outcomes your institution is trying to achieve, and the information needed for data-driven decision-making.
- Specific guiding principles will vary from institution to institution; effective data governance requires both structure and flexibility.
Here are some baseline principles your institution may want to adopt and modify to suit your particular needs.
- Data governance entails iterative processes, attention to measures and metrics, and ongoing effort. The institution’s governance framework should be transparent, practical, and agile. This ensures that governance is seen as beneficial to data management and not an impediment.
- Governance is an enabler. The institution’s work should help accomplish objectives and solve problems aligned with strategic priorities.
- Work with the big picture in mind. Start from the vantage point that data is an institutional asset. Without an institutional asset mentality it’s difficult to break down the silos that make data valuable to the organization.
- The institution should identify data trustees and stewards that will lead the data governance efforts at your institution.
- Data trustees should have responsibility over data, and have the highest level of responsibility for custodianship of data.
- Data stewards should act on behalf of data trustees, and be accountable for managing and maintaining data.
- Data quality needs to be baked into the governance process. The institution should build data quality into every step of capture and entry. This will increase user confidence that there is data integrity. The institution should develop working agreements for sharing and accessing data across organizational lines. The institution should strive for processes and documentation that is consistent, manageable, and effective. This helps projects run smoothly, with consistent results every time.
- The institution should pay attention to building security into the data usage cycle. An institution’s security measures and practices need to be inherent in the day-to-day management of data, and balanced with the working agreements mentioned above. This keeps data secure and protected for the entire organization.
- Agreed upon rules and guidelines should be developed to support a data governance structure and decision-making. The institution should define and use pragmatic approaches and practical plans that reward sustainability and collaboration, building a successful roadmap for the future.
Next Steps
Are you curious about additional guiding principles? Contact me. In the meantime, keep your eyes peeled for a future blog that digs deeper into the roles of data trustees and stewards.