Chapter 7 Creating a Data Governance System Flashcards
What is the traditional view of data governance in academia?
A relatively static construct with data sets that few people explore.
What has revealed that traditional data governance is no longer optimal?
Converging pressures, evolving nature of student bodies, and the effects of the pandemic.
What opportunity has emerged from the current challenges in data governance?
To retune data governance into something more fluid, engaging, and inclusive.
What can senior campus leaders use data governance to develop?
Stronger, more sustainable cultures of evidence.
How can colleges and universities become more dynamic and resilient organizations?
By adopting a federated model of informed data users and using AI and machine learning.
What is the importance of good governance in data management?
Ensures that data and analyses lead to trustworthy and meaningful findings.
What areas have seen increased demands for data governance?
- Student success
- Equity
- Academic planning
- Strategic finance
- Student mental health
- Device and internet access
- Housing and food insecurity
- Deep learning analytics
What is the definition of data governance according to the National Association of College and University Budget Officers?
An institution’s data strategy that outlines rights and responsibilities for how stakeholders manage and use data.
What does Rana Glasgal and Valentina Nestor argue about good data governance?
It should anticipate opportunities and challenges related to data and be widespread across the organization.
What is the foundation upon which sound analyses are built?
Data governance.
What are the stages in developing a mature data governance system?
- Initial
- Emergent
- Structured
- Integrated
- Applied
- Sustained
What common challenges can bog down the launch of a data governance system?
- Data skepticism
- Disconnected data
- Data privacy concerns
- Lack of a culture of evidence
- Insufficient training investment
- Inadequate processes and policies
True or False: Most college and university leaders are trained data scientists.
False.
What can trigger apprehension among senior leaders regarding data?
The realization that data can be untrustworthy.
What are some major sources of campus data?
- Enterprise resource planning system
- Learning management system
- Library system
- Customer relationship management system
- Content management system
- Registration system
- Human resources system
What is a significant vulnerability in higher education related to data?
The absence of a comprehensive view of data during volatile times.
What does the lack of trust in institutional data lead to?
Organizational paralysis.
What is necessary for creating a culture of evidence in colleges and universities?
Ensuring people have the skills and expertise needed to use data effectively.
What is the impact of poorly connected data sources in colleges?
Creates a daunting task for building and sustaining successful data governance.
What is a map of the universe of data important for?
Drawing a complete picture for staff who can benefit from using data from different sources.
What are some complexities associated with information privacy and security?
The internal and external systems that produce and share data introduce risks.
What is the universe of data?
An important component of drawing a complete picture for staff who can benefit from using data from different sources.
Why is the universe of data in a constant state of flux?
Because it needs to be tended and shared continuously.
What are the main privacy and security risks associated with data?
The proliferation of biometric data that hackers can use to access bank records, cell phone data, and internet browsing activity.
How many publicly reported data breaches occurred in 2020?
3,932 publicly reported data breaches.
What was the leading reason for records being exposed during data breaches?
Misconfigured databases and services.
What are some internal threats to information privacy and security?
- Lax computer use (e.g., sharing login information)
- Outdated information technology policies.
What are two significant privacy and security laws mentioned?
- European General Data Protection Regulation
- California Consumer Privacy Act.
What must senior campus leaders do to ensure data breaches do not occur?
Modify data privacy and information security policies.
What can arise when more stringent data policies are put in place?
Issues such as greater difficulty accessing data in a timely fashion.
Who typically manages data governance on campuses?
Chief information officers and institutional research directors.
What complicates the relationship between information technology and institutional research?
Conflicts over finite resources and ownership of data strategy.
What do both information technology and institutional research typically have towards data access?
A conservative disposition.
What is essential for effective data governance?
Collaboration between institutional research and technology departments.
What is often lacking in campus conversations about data governance?
A representative body that integrates better data for broad campus use.
What can be a barrier to an integrated approach to data governance?
The siloed nature of data ownership.
What must be consistently attended to for effective data governance?
Creating and sustaining dedicated routines and platforms for ongoing discussion.
What is a key factor in launching successful data governance efforts?
Developing a comprehensive data strategy that emphasizes data governance.
What should be the first step in starting a robust data governance program?
Creating a vision and setting clear expectations about data usage.
What was the goal of the 90 x 30 Challenge launched by José Luis Cruz?
To support greater educational attainment in the Bronx through improved data organization.
What should a campus engagement plan articulate?
The institution’s data strategy and how it will be used.
What principles guided the data governance process at the University of North Texas?
- No dashboards would be published without being fully documented and vetted
- Campus data would be presented in its source form.
What was created at UMBC to support data governance?
A data management committee with representatives from each college and administrative division.
What is an important aspect of a data governance committee’s responsibilities?
Reviewing data and analytics tools for potential biases.
What is vital for sustaining data governance efforts?
Developing a coalition of data governance champions.
What should be included in a measurement framework for data governance success?
- Key performance indicators
- Cycles of assessment and refinement.
What are some important metrics for assessing data governance success?
- Number of data owners
- Number of data sources
- Engagement in the data governance program.
What qualitative data can help maintain focus on data governance?
Satisfaction rates and trust in the comprehensiveness and accessibility of data products.
What is the purpose of creating comparable products such as analyses or dashboards?
To help identify whether data governance is becoming more efficient and effective.
This includes qualitative data related to satisfaction rates and trust in data products.
What types of qualitative data are important for maintaining focus on data governance?
Satisfaction rates, satisfaction with campus engagements, trust in comprehensiveness and accessibility of data products.
These metrics help assess the quality and scalability of data governance.
How do technological advancements impact data governance?
They enable senior campus leaders to develop a more complete record of the integrated nature of data.
Understanding this impact helps in evaluating data governance effectiveness.
What measures can help determine the breadth and depth of data governance?
Number of integrated data sources, presence of shadow systems, modernization of a data dictionary, automation of data collection and product creation.
These factors indicate the effectiveness of data governance.
Why is accuracy and reliability of insight products important for campus leaders?
It focuses on getting data into the hands of campus stakeholders in timely, accurate, and relevant ways.
This is crucial for effective decision-making.
What role does qualitative data from surveys and focus groups play in data governance?
It helps identify trends and monitor the health and sustainability of an institution-wide culture of evidence.
Regular collection of this data supports ongoing improvement in governance.
What is a critical need for colleges and universities in response to disruptive pressures?
Reliable access to quality data for all personnel.
This need became particularly urgent during the pandemic.
What are the key components of effective data governance?
Timeliness, accuracy, relevance, integration, and accessibility of data.
These components are vital for better decision-making across the institution.
What outcomes result from well-executed data governance?
Improved teaching, learning, advising, better student outcomes, and optimization of campus resources.
Effective governance leads to enhanced institutional performance.
What is required for successful data governance regimes?
Careful planning, effective design and implementation, clarity about processes, and tools for contextualized access.
Forums for discussion and knowledge sharing are also essential.
Who has an important role in addressing data governance on campus?
College executives.
They are crucial for creating a positive climate that focuses on student success and equity.
Fill in the blank: A commitment to data governance will increase the chances that a campus will succeed in an increasingly _______ environment.
volatile
What foundation does a commitment to data governance lay for colleges and universities?
It lays the foundation for building more advanced analytics capabilities responsibly and ethically.
This minimizes the chances of misuse of data.
