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Civil Rights and Discrimination

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Washington and Lee Law Review

2022

Big data

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The Golem In The Machine: Ferpa, Dirty Data, And Digital Distortion In The Education Record, Najarian R. Peters Jan 2022

The Golem In The Machine: Ferpa, Dirty Data, And Digital Distortion In The Education Record, Najarian R. Peters

Washington and Lee Law Review

Like its counterpart in the criminal justice system, dirty data—data that is inaccurate, incomplete, or misleading—in K-12 education records creates and catalyzes catastrophic life events. The presence of this data in any record suggests a lack of data integrity. The systemic problem of dirty data in education records means the data stewards of those records have failed to meet the data integrity requirements embedded in the Family Educational Rights and Privacy Act (FERPA). FERPA was designed to protect students and their education records from the negative impact of erroneous information rendered from the “private scribblings” of educators. The legislative history …