Check that the Data is Fit for Purpose

Understand the Data Quality of the data, and compare that to the requirements of the Risk Model

For example;

data may only cover certain segments of the population

data may be unverified

data may not be up-to-date

Where the Data Quality is not sufficient, reconsider how the Risk Factor features in the Risk Model, and/or the Ethics Assessment.

Each group of Risk Factors from the same combination of

Source Organisation

Information Type

should be considered in turn.

Steps

Data Quality Assessment

For each Information Type, a Data Quality assessment is made.

See

Assessing Data Quality

⁠

in the SAVVI Information Governance Framework.

using the SAVVI Data Quality Assessment Template.

See Templates.

⁠

Is the Data Fit for the New Purpose?

Review the Data Quality Assessment and compare the assumptions in the Risk Model.

Data Not Fit for Purpose

If the data quality is not sufficient, the initiative should not attempt to build a cohort, but instead focus on finding other sources that could replace or complement the data.

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Check that the Data is Fit for Purpose

​Steps

Data Quality Assessment

Is the Data Fit for the New Purpose?

Data Not Fit for Purpose

Steps