Data Governance: A Primer
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Presenter(s):
Braden Hosch, Stony Brook University
Requirements:
Laptop required
Software required: Internet browser (any); Word processing software (any).
Prerequisites:
To participate in this workshop, an attendee will need to:
1. Be familiar with the data challenges of their institution.
2. Be familiar with the organizational structures of their institutions, including organization charts and shared governance.
3. Be from campuses where data governance is informal, undeveloped, or developing.
4. Have at least one to two years of experience in IR, assessment, or IT.
Description:
A common misconception about data governance is that it is principally a technological problem that requires a technical solution, but in fact, data governance at its core is a set of guidelines for how people behave and make decisions about data. This workshop is designed for participants at institutions where data governance is undeveloped or developing and will cover the six topics: data governance definitions and its major aspects, selling data governance to senior leadership, maturity models, characteristics of a data governance system, technological 'solutions,' and change management in higher education. Participants during the workshop will build a prioritized action plan for developing data governance functions when they return to campus.
Intended Learning Outcomes:
Participants in this workshop will:
1. Define data governance as an activity that centers on human behavior, not data.
2. Describe major components of data governance activities.
3. Articulate challenges on their campus and how data governance will address these challenges.
4. Assess their campus culture and organization with a data governance maturity model; select and modify a data governance maturity model for their campus.
5. Identify characteristics of a data governance system; analyze where their own institution has gaps; and create an outline for how data governance could fit into existing organizational structures.
6. Discuss how technology may assist but not perform data governance; describe major functions of data governance software applications or "solutions".
7. Explain principles of change management in higher education institutions and how they will enable development of data governance on their campuses.
8. Construct an action plan for next steps on their own campus to advance data governance activities.
Presenter(s):
Braden Hosch, Stony Brook University
Requirements:
Laptop required
Software required: Internet browser (any); Word processing software (any).
Prerequisites:
To participate in this workshop, an attendee will need to:
1. Be familiar with the data challenges of their institution.
2. Be familiar with the organizational structures of their institutions, including organization charts and shared governance.
3. Be from campuses where data governance is informal, undeveloped, or developing.
4. Have at least one to two years of experience in IR, assessment, or IT.
Description:
A common misconception about data governance is that it is principally a technological problem that requires a technical solution, but in fact, data governance at its core is a set of guidelines for how people behave and make decisions about data. This workshop is designed for participants at institutions where data governance is undeveloped or developing and will cover the six topics: data governance definitions and its major aspects, selling data governance to senior leadership, maturity models, characteristics of a data governance system, technological 'solutions,' and change management in higher education. Participants during the workshop will build a prioritized action plan for developing data governance functions when they return to campus.
Intended Learning Outcomes:
Participants in this workshop will:
1. Define data governance as an activity that centers on human behavior, not data.
2. Describe major components of data governance activities.
3. Articulate challenges on their campus and how data governance will address these challenges.
4. Assess their campus culture and organization with a data governance maturity model; select and modify a data governance maturity model for their campus.
5. Identify characteristics of a data governance system; analyze where their own institution has gaps; and create an outline for how data governance could fit into existing organizational structures.
6. Discuss how technology may assist but not perform data governance; describe major functions of data governance software applications or "solutions".
7. Explain principles of change management in higher education institutions and how they will enable development of data governance on their campuses.
8. Construct an action plan for next steps on their own campus to advance data governance activities.