After work began
No cost stated

Allows a researcher to use student data, at no cost, to build a de-identified data set

Under a no-cost services agreement and a data sharing agreement, a Berkeley, CA researcher will match school application data with enrollment data for the 2018-19 and 2019-20 school years. The researcher will have access to identifiable student data to prepare a de-identified data set to share with the California Policy Lab. Both run April 1 through December 31, 2022, and the board is approving them after the start date.

Plain-English summary written by AI from the official text. AI summary · amounts checked against official text

Vendor / partner
Individual contractor
Action
MOU or data sharing
Category
Partnerships & data sharing
Term
Apr 1, 2022 – Dec 31, 2022
Vendor no.
007750
Presented by
Chief of Staff
File
22-0808 · agenda V.-54
Outcome
Adopted on the General Consent Report, Apr 27, 2022

Official text

Ratification by the Board of Education of a Services Agreement 2021-2022 - No Cost and Data Sharing Agreement 2021-2022, each, by and between the District and Ini-Abasi Umosen, Berkeley, CA, for the latter, under the Services Agreement, to match identifiable application data (from SchoolMint) with identifiable enrollment data (from Aeries) for the 2018-2019 and 2019-2020 School Years, and under the Data Sharing Agreement (DSA), permitting Umosen access to identifiable student data in order to prepare a de-identified data set from sharing with the California Policy Lab (CPL), pursuant to terms and conditions of the DSA; each Agreement, for the term of April 1, 2022, through December 31, 2022, via the Student Assignment Department.

History

  1. Adopted on the General Consent Report

This is an independent project created to provide transparency to the OUSD Community, and is not affiliated with Oakland Unified District. All data used to create the Consent Report Tracker is made public by Legistar, OUSD's official platform for posting legislative records. Plain-English summaries are written by AI with narrow parameters based upon the official text of the reports. Read about how all this works.

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