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Roles and Responsibilities | Data Governance Steering Committee | Data Communities

Roles and Responsibilities

Several roles and responsibilities govern the management of, access to and accountability for Institutional data. Sponsorship is provided by the University Executive and the Provosts from the Vancouver and Okanagan campuses. The Provosts also provide direction when needed. Data Stewards have direct operational-level responsibility for the management of one or more types of institutional data with authority to make decisions in their area with UBC's interests in mind. Data Stewards will bring recommendations and issues to the Data Governance Steering Committee for university-wide data repositories. Where the Data Governance Committee needs further direction, matters will be consulted with the Provosts and UBC Executive.

Data Governance Roles and Responsibilities


Data Governors

Data Governors are UBC Executives who are responsible for leveraging data to achieve the university's strategic goals, and policies governing data management.

Data Trustees

Data trustees are institutional officers who have authority over policies and procedures regarding business definitions of data and the access and usage of that data within their delegations of authority.

Under the authority of the Provost, the Data Trustees, through the Data Governance Steering Committee, have responsibility for the strategic guidance of data governance at UBC. The Data Trustees advise UBC Executives on the use of university data. They will work to resolve conflicts and remove barriers related to the development, access, use, collection, or reporting. Through the Data Governance Steering Committee, they issue guidelines or procedures to facilitate improved access, use, integrity, and usefulness of university data.

Data Stewards

Data Stewards are university business officials having direct operational-level responsibility for the management of one or more types of Institutional Data and have authority to make decisions, but where required, they will escalate decisions to the Data Governance Committee.

Data stewards are responsible for quality of the data in their domain. Data stewards serve as a focal point for data governance activity and issue resolution. That includes but it is not limited to working collaboratively with other data stewards to define business term definitions, business rules and manage and maintain the data assets for the data within their charge.

Data Custodians

Data custodians are system administrators responsible for the operation and management of systems and servers that collect, manage and provide access to institutional data.

Data Users

Data users are university units or individual university community members who have been granted access to institutional data in order to perform assigned duties or in fulfillment of assigned roles or functions within the university; this access is granted solely for the conduct of university business.

Data Governance Functions

The Data Governance Function facilitates and supports data governance and data stewardship activities, including:

  • keeping track of data stakeholders and stewards
  • providing liaisons to other disciplines and programs, such as data quality, compliance, privacy, security, architecture and IT governance
  • collecting and aligning policies, standards and guidelines from these stakeholder groups
  • arranging for the providing of information and analysis to IT projects as requested
  • facilitating and coordinating data analysis and issue analysis projects
  • facilitating and coordinating meetings of data stewards
  • collecting metrics and success measures and reporting on them to data stakeholders
  • providing ongoing stakeholder care in the form of communication, access to information, record keeping and education/support
  • articulating the value of data governance and stewardship activities
  • providing centralized communications for governance-led and data-related matters
  • maintaining governance records

Data Governance Steering Committee

"The Data Governance Steering Committee (DGSC) oversees the data governance program initiatives for the University of British Columbia. Members of the DGSC are appointed by the Provosts of both campuses, and are accountable to UBC Executives.

The DGSC is a working level, inter-disciplinary group tasked with the responsibility of overarching organizational data governance, including changes to existing data processes, policies and standards, resolution of any data issues and change management.

Under the authority of the Provost, the DGSC has responsibility for the strategic guidance of data governance at UBC. The Committee advises UBC Executives on the use of university data. It will work to resolve conflicts and remove barriers related to the development, access, use, collection, or reporting of university data. It may issue guidelines or procedures to facilitate improved access, use, integrity, and usefulness of university data. Data governors may, at their discretion, ask the DGSC to evaluate data uses that span multiple ownership domains or involve atypical usage arrangements.

The role of the DGSC is to oversees the development and maintainance of university‚Äźwide standards to manage the recording of and access to university data, and to promote a proactive approach to data quality and security.

The DGSC is responsible for the following:

  • Approving policies, procedures and guidelines to ensure data consistency, data standardization, data security and data use
  • Creating a formal decision-making structure for data standardization
  • Providing a two-way mechanism for communicating (e.g. a reporting structure and/or communication plan) about data initiatives across the University
  • Creating formal procedures for liaising with data consumers and technical groups for data governance projects
  • Promoting best practices around data standardization.

Data Communities

Organization of UBC’s data landscape into various data communities creates an integrated and collaborative solution process by allowing all stakeholders with vested interests in a common set of data elements to come together for decision making.

All the data communities together represent UBC’s various functions and corresponding enterprise data elements that are in scope of Data Governance. Master data community represents data elements, such as a person’s legal name, that are relevant across functions.

Data Governance Roles and Responsibilities

Master Data

Master data community is comprised of institutional stakeholders with interest in business objects which are agreed on and shared across the Institution. Master data includes operational, analytical and reference data. Examples of master data are all the attributes of a person such as gender, indigenous status, etc.

Advancement

Advancement data community consists of institutional stakeholders who have an interest in operations pertaining to alumni and donor relationships.

Finance

Finance data community is comprised of institutional stakeholders who have an interest in financial operations and planning. Examples include financial planning and mandatory financial reporting requirements.

Geospatial and Services

Geospatial and Services data community is comprised of institutional stakeholders who have an interest in geographical information, such as campuses, buildings, classroom, and etc.

Human Resources

Human Resources data community is comprised of institutional stakeholders who have an interest in UBC’s human capital information. For example, all data pertaining to recruitment of prospective staff falls under this community.

Research

Research data community is comprised of institutional stakeholders who have an interest in data created or generated as part of research projects at UBC.

Learner

Learner data community is comprised of institutional stakeholders who have an interest in learner information as they progress through the learner lifecycle. For example, all attributes pertaining to a student’s academic achievements fall under this data community.

Teaching and Learning

Teaching and Learning data community is comprised of institutional stakeholders who have an interest in measurement, collection, analysis, and reporting of data about learners with the goal of understanding and optimizing the learning environment.