Data Governance Charge
The Data Governance & Integrity Steering Committee (DGISC) provides on-going cross-functional expertise and guidance for data-driven decision-making at Loyola. This cross-functional committee will enhance the understanding and quality of institutional data through coordinated efforts of campus stakeholders. In addition, this group has established a framework for appropriate access to, use of, and accountability of, institutional data.
The DGISC charge is to empower the provost to:
- Ensure that University decision makers have shared data visualizations, analysis, and reports they need to inform their decisions.
- Ensure that the data visualizations, analysis, and reports provided are presented within the context of varying business practices that may or may not be consistent across units and schools.
- Ensure the data visualizations, analysis, and reports provide relevant data definitions, source of origin documentation, analysis documentation (if relevant), and denote any limitations of data that should be conveyed prior to use in decision-making.
- Recommend and/or establish data-related business processes, standards, strategies, and/or direction through drafting and recommending policies and practices to relevant leaders that will ensure data governance and integrity across the university.
- Develop procedures and controls in alignment with university information security policies and guidelines for appropriate access, extraction, use, storage, and publication of data.
- Define department and individual contributor responsibilities for the management and accountability of university data.
- Encourage data governance and data integrity transparency, as appropriate given Human Subjects Protection, Right to Privacy, and other research and data related policies and procedures that may be relevant to remove barriers for collaborative data informed decision-making.
- Establish data literacy through frequent, timely, and appropriate training, support, and knowledge-sharing opportunities for and across the broader user communities.
- Foster buy-in and promote data governance, data quality improvements, responsible and ethical management of and use of data, and documentation of business process within various areas of the university.
- Develop a shared understanding of the roles and responsibilities for various units’ business processes and varying data needs.
- Monitor and assess the Data Governance and Integrity processes periodically to evaluate effectiveness and/or areas in need of improvement. “
Please note that this process does not govern Research Compliance. That process governance model can be found here. The DGISC Implementation Timeline can be found here.
Data Governance Accountability Structure
The Data Governance & Integrity Steering Committee (DGISC) provides on-going cross-functional expertise and guidance for data-driven decision-making at Loyola. This cross-functional committee will enhance the understanding and quality of institutional data through coordinated efforts of campus stakeholders. In addition, this group has established a framework for appropriate access to, use of, and accountability of, institutional data.
The DGISC charge is to empower the provost to:
- Ensure that University decision makers have shared data visualizations, analysis, and reports they need to inform their decisions.
- Ensure that the data visualizations, analysis, and reports provided are presented within the context of varying business practices that may or may not be consistent across units and schools.
- Ensure the data visualizations, analysis, and reports provide relevant data definitions, source of origin documentation, analysis documentation (if relevant), and denote any limitations of data that should be conveyed prior to use in decision-making.
- Recommend and/or establish data-related business processes, standards, strategies, and/or direction through drafting and recommending policies and practices to relevant leaders that will ensure data governance and integrity across the university.
- Develop procedures and controls in alignment with university information security policies and guidelines for appropriate access, extraction, use, storage, and publication of data.
- Define department and individual contributor responsibilities for the management and accountability of university data.
- Encourage data governance and data integrity transparency, as appropriate given Human Subjects Protection, Right to Privacy, and other research and data related policies and procedures that may be relevant to remove barriers for collaborative data informed decision-making.
- Establish data literacy through frequent, timely, and appropriate training, support, and knowledge-sharing opportunities for and across the broader user communities.
- Foster buy-in and promote data governance, data quality improvements, responsible and ethical management of and use of data, and documentation of business process within various areas of the university.
- Develop a shared understanding of the roles and responsibilities for various units’ business processes and varying data needs.
- Monitor and assess the Data Governance and Integrity processes periodically to evaluate effectiveness and/or areas in need of improvement. “
Please note that this process does not govern Research Compliance. That process governance model can be found here. The DGISC Implementation Timeline can be found here.
Data Governance Accountability Structure