@diana_cci and @jaromo Here are my notes on data staffing and data management from SCF site visit. I’m happy to discuss.
a. Data team perceives role as “we work for them” – meaning staff and ultimately customer owners, a support service.
b. Data Staffing:
i. Data is a service department, designed to best support staff by integrating data expertise into existing teams and committee structure. Recommendation is to have data be a part of the process, to share information, connect tools and see data as a service.
ii. ** Do not have provider as the driver. It’s expensive and provider can be included in the process for input, it’s cheaper to have increased data support integrated.
iii. Workforce Progression: Intentional staff investment and development through a visible process. There is a list of concrete criteria, and each employee is ranked on a scale of 1-5 (1= little or no experience, 5 = expert, can teach). The ranking is communicated, goals set, and training takes place so the staff person can progress. The scale is used as rationale for promotion and pay rate and pay raises.
c. Data Support Roles
i. Data Analyst: Builds reports (takes translation from Program Analyst)
ii. Program Analyst: 15-20 years of experience, content expertise, is the point of contact for the department.
iii. Data Steward: Usually the Director of the Department, controls resources and therefore can make decisions about data priorities. Data team gives the Data Steward a weekly report on progress.
d. DIRT Tool: Data Information Request Tool
i. Data Stewards for each department prioritize data request using an online platform. Anybody can submit a request, and it is sent first to the Data Steward to approve and prioritizes. Data team works on top three priorities 80% of the time, and ad hoc report 20% of the time.
ii. DIRT online is organized into categories: Ad hoc, organization measure, grant support measure, regulatory.