Handbook on Using Administrative Data

2

3

4An RPP Model for Research

⇒

5An RPP Model for Research

6An RPP Model for Research

7An RPP Model for Research

8An RPP Model for Research

9An RPP Model for Research

Partnership model of collaborative

knowledge sharing

Decentralized and complex data ecosystem in

education

Data sharing ≫ “Data Access”

10An RPP Model for Research

Operations

Analysis

Data

Knowledge about the timing, the sampling, and

other parameters of the snapshot.

Knowledge about how findings map

back to operations.

11Institutional Setup of the Partnership

12Institutional Setup of the Partnership

RPA

SFUSD Stanford GSE

Chief of RPA

Supervisor of

Research

Supervisor of

Analytics

Administrators/Practitioners

Administrators/Practitioners

Administrators/Practitioners

Administrators/Practitioners

Administrators/Practitioners

CE

PA

Executive Director

Data Manager

Researchers

Researchers

Researchers

Researchers

Researchers

Ed Partners

PartnershipDirector

13Institutional Setup of the Partnership

Umbrella DUA

Overarching agreement among partner entities to transfer data from SFUSD to Stanford

1

Periodic Cycles of Data Transfer

Student data (annual)Staff data (biannual)

2

Episodic Transfers of Other Data

Data from the decentralized parts of the SFUSD data ecosystem

3

14Institutional Setup of the Partnership

Project Creation/Design

R and P co-create a research project, including the specification of the research questions and research design.

Research Application

Research team submits an application for research, with IRB approval/exemption.

Safe Project: “ABC” review and IRB approvalSafe People: Human subjects and data security training certification

Primary Data Collection

R and P collaborate to implement and execute any primary data collection, including administering surveys, treatments, and interventions.

Sensemaking/Implications

R conducts analysis.

R and P interpret and validate results together and extract appropriate actionable implications together.

Safe Outputs: Beyond data privacy (district context, district identification)

Secondary Data Transfer

R receives data from the warehouse. R and P establish a shared understanding of the administrative data.

Safe Data: “scrambling” of student ID numbersSafe Settings: Google shared drive and internal Stanford server

Data Discussion

PoP + Literature

Desirable Design

Planvs.

Reality

Context&

Findings

15Lessons and Insights for the Field

16Lessons and Insights for the Field

17Lessons and Insights for the Field

18Lessons and Insights for the Field

19Lessons and Insights for the Field

Former Stanford

Researchers

Other Research Institutions

Other Partnerships

Other School Districts

SFUSD Stanford

20Lessons and Insights for the Field

21Lessons and Insights for the Field

22Lessons and Insights for the Field

23Lessons and Insights for the Field