Data Governance Council 2019-20 Annual Report

Approved September 10, 2020

Overview

Stony Brook’s data governance system was established in fall 2016 in order 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 third annual report of the DGC. The suspension of on-campus activities due to COVID-19, departure of the executive sponsors for data governance, and lack of dedicated personnel and resources to support data governance significantly limited capacity to extend data governance initiatives in 2019-20.

Major accomplishments

  • Oversaw identification and implementation of 39 projects
    • Complete: 5
    • In progress: 13
    • In queue: 21  
  • Data strategy advancements
    • Identified next steps to develop University data asset inventory
    • Prioritized Data Cookbook implementation
    • Integrated data from the National Student Clearinghouse and Blackboard usage logs into
      the Data Warehouse
    • Developed online training for Tableau

Members 2019-20

Braden Hosch, Chair

Kim Berlin, Co-Chair

Ahmed Belazi

Diane Bello

Surita Bhatia

David Cyrille

Robert Davidson

Paula Di Pasquale-Alvarez

Lyle Gomes

Jim Gonzales

Stefan Hyman

Kate Larsen

Tracey McEachern

Nicholas Prewett

Theresa Diemer, ex officio


Challenges

The global COVID-19 pandemic prompted a suspension of on-campus activities in mid-March 2020. Even though remote meeting resources were available through Zoom, meetings of the DGC and Functional Data Governance Committees (FDGCs) and related activities to address specific data quality issues were suspended in order to conduct emergency campus operations.

The executive sponsors of data governance – Matthew Whelan, Vice President for Strategic Initiatives, and Melissa Woo, Senior Vice President for Information Technology and CIO – both separated from Stony Brook University during the academic year, and their transition out of the university limited the capacity to advance effective requests for personnel and resources. Additionally, while the data governance framework places the DGC under the purview of the Project 50 Forward Steering Committee, Project 50 Forward is no longer active, and data governance should be anchored by another executive body.

Finally, because dedicated staffing and other resources have not been allocated to advance data governance, progress on various initiatives has been limited.


Oversaw identification and implementation of 39 projects

The DGC identified 39 projects or issues for attention in 2019-20. Five of these have been completed, 13 are in progress, and 21 are in the queue for 2020-21. The process of identifying and prioritizing issues is ongoing. Completed projects include: 

 Tracking of Open Educational Resources (OER) in PeopleSoft for courses that primarily use it for instructional course materials

  • Adjusted headcounts of FSA employee from 2011 and prior due to a difference in how students were coded in the past. Student-employees that were previously coded as an employee have been reclassified as a student.
  • Review of semantic information embedded in class section designators. The review determined that while a small fraction of class section indicators contain semantic information, this was not a significant problem. Institutionally, analysts should not interpret class section designations to convey specific meaning (online, SUNY Korea, etc.) but rather should use other fields to conduct such analyses.
  • Addition of a term-based student-level SUTRA indicator (registered for exclusively SUTRA classes, registered exclusively for classes that are not SUTRA, registered for a mix of SUTRA classes and classes that are not SUTRA)
  • Resolution of inconsistencies between citizenship and visa types for students


Completed projects will improve compliance efforts for financial modeling and budget preparation as well as student-related compliance reporting.

In progress projects from 2019-20 are listed below

FDGC

Project Name

Category

Finance HR                                             

Employee Citizenship

Maintenance Issue

 

Employee Education

Maintenance Issue

 

Faculty assignment by instruction, research, service                 

Maintenance Issue

 

Faculty Program Affiliation

Maintenance Issue

 

State Job Titles / Administrative Posts

Data Quality Issue

 

Tenure Panel

Maintenance Issue

Student

Additional Baccalaureate (Re-opened Project ID #4)                                         

Maintenance Issue                                     

 

Address validation

Data Quality Issue

 

Citizenship management

Maintenance Issue

 

Micro credentials

Maintenance Issue

 

New Graduate Student

Definition Issue

 

Permanent Address for Students

Maintenance Issue

 

Residency

Definition Issue



Further development of data asset inventory

The DGC identified the next set of items to extend the data asset inventory. Collection of these items was postponed due to the COVID-19 pandemic. Questions for part 2 of the data asset inventory were structured around data acquisition, integration and linkage, access and reporting.

Data acquisition

Describe how data in this data asset are captured or acquired. (User input, Feed from another SBU system, Feed from an outside source, Manual upload, Other)

Integration and linkage                      

Data In: List systems or data sources that are fed into this data asset. What is the frequency of the data feed into this data asset?
Data Out: List systems or data sources that are fed by this data asset. What is the frequency of each feed from this data asset?

Access

Describe how users are initially authorized to access this data asset.

Describe how users authenticate when they connect to this data asset.

Describe how users access the data from this data asset (e.g. web access, VPN, file share).

Reporting

Describe the standard method(s) of reporting for this data asset.  (ex: PeopleSoft provides numerous on-board reporting features to provide users with data about individuals and a query function for batch reporting)






 

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