Data Governance Council 2017-18 Annual Report

Approved June 15, 2018 

Overview

Stony Brook’s data governance system was established in fall 2016 by the Project 50 Forward Steering Committee following the recommendation of an initiative to improve Stony Brook’s data infrastructure. The Data Governance Council (DGC) oversees the data governance system, and began meeting in spring 2017. This is the first annual report of the DGC.

Major accomplishments

  • Convened Functional Data Governance Committees for
    • Student issues
    • Finance/HR issues
  • Launched data governance website
  • Adopted standards for
    • Data dictionaries 
    • Institutional reporting
  • Adopted a data strategy
  • Identified and acquired metadata management tool
  • Oversaw identification and implementation of 37 projects
    • Complete: 6 
    • In progress: 9
    • In queue: 22


Convened Functional Data Governance Committees (FDGCs) 

Members were identified and invited to serve on FDGCs, with supervisor approval, and groups began to meet in fall 2017. Because of overlap in membership between the Finance FDGC and Human Resources (HR) FDGC, the two were combined into a single group.

In all, FDGCs met 14 times over the course of 2017-18 (8 Student, 6 Finance/HR). Attendance in general exceeded 85% of membership. Braden Hosch and Kim Berlin chaired and co-chaired these meetings, and Theresa Diemer provided operational support to ensure their effective launch. This staffing structure will continue in 2018-19, with the intent of developing leadership within each FDGC to allow the groups to run themselves.

Members 2017-18

Braden Hosch, Chair

Kim Berlin, Co-Chair

Ahmed Belazi

Diane Bello

David Cyrille

Lyle Gomes

Kate Larsen

Tracey McEachern

Rodney Morrison

Michael Ospitale

Jacqueline Pascariello

Wendy Tang

[Vacant] Univ. Senate designee

[Vacant] VP Research designee

Theresa Diemer, ex officio 






Organizational chart showing “Project 50 Forward SteerCo” at the top, connected to the “Data Governance Council.” Below are two branches: “Finance/HR FDGC” and “Student FDGC.” Under Finance/HR FDGC are “Finance Data Stewards” and “HR Data Stewards.” Under Student FDGC is “Student Data Stewards.”

Launched Data Governance Website 

The Data Governance website was launched as a sub-page of the Institutional Research, Planning & Effectiveness website. 
https://www.stonybrook.edu/commcms/irpe/about/data_governance/data_governance.php 

This arrangement allowed for immediate operational control and launch, although the initial recommendation to make the DGC website operate from an independent location or portal from the domain www.stonybrook.edu/data remains the long-term plan. 

The website includes the Data Governance Framework, membership of the DGC and FDGCs with meeting schedules and minutes, the report standards and data dictionary standards adopted by the DGC, and the Stony Brook University Data Strategy.


Adopted Data Dictionary Standards and Report Standards 

The Data Governance Framework (I.a.ii.2) charges the DGC with development and adoption of standards for data dictionaries and reporting conventions.


Data Dictionaries

The DGC adopted data dictionary standards to establish formal expectations for meta data storage and management; the standards include five principles and 16 required elements.
See:  https://www.stonybrook.edu/datagovernance-new/structure-standards/data-dictionary-standards.html  


Reporting standards

Reporting standards have been developed to promote clear communication about data and to empower data users to meet their responsibilities under the Data Governance Framework to recognize that institutional data and information derived from it are potentially complex (2a) and include information about the data source and criteria when distributing data, reports and ad hoc analytics to guard against misinterpretations of data (2b).
See:  https://www.stonybrook.edu/datagovernance-new/structure-standards/report-standards.html 


Adopted a data strategy

In consultation with the CIO, the DGC adopted a data strategy that identifies an approach to (1) data acquisition, (2) data governance, (3) data quality, (4) data access, (5) data usage & literacy, (6) data extraction & reporting, and (7) data analytics. A data asset inventory for West Campus and East Campus, including the hospital was prepared and shared with IT leadership for review and addition. 


Identified and acquired metadata management tool 

A subcommittee reviewed technology options to assist with data governance and metadata management. The DGC followed the subcommittee’s recommendation to adopt the Data Cookbook. Funds to acquire the tool were re-purposed from the budget for maintenance of a portion of Blackboard Analytics. The tool has been procured and will be implemented beginning in July 2018.


Oversaw identification and implementation of 37 projects 

The DGC identified 37 projects or issues for initial attention. Six of these have been completed, nine are in progress, and 22 are in the queue for 2018-19. The process of identifying and prioritizing issues is ongoing. Completed projects include:

  • Definition and storage rules for distance education programs/plans
  • Coding standards and cross validation for distance education class sections
  • Rationalization of academic group descriptions
  • Cleaning and updating of domestic college/university names
  • Cross-validation of full-time equivalent (FTE) employee value with full-time / part-time status
  • Definition of full-time equivalent (FTE) employee definitions

Completed projects have improved maintenance of distance education offerings for billing, planning, and program development; standardized naming conventions; improved data quality on HR issues; improved capacities for multiple constituencies to accurately identify FTE employee, distance ed. programs and majors and distance ed. classes; and resulted in additional audit reports to capture these issues. 

In progress projects goals include improved understanding around faculty and employee data and improved maintenance and identification of student admissions, programs and bio demographic data.






 

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