ISUC Data Quality Policy

ISUC Data Quality Policy

Responsibility for Data Quality

There are 3 parties involved:
• The data contributors
• The Quality Team
• The general public.

The Data Contributors

Each data contributor takes reasonable steps to establish unique Public Identity Reference Metadata. Data contributors are invited to check the accuracy of ID assignment and report any errors. They are also invited to review the possible matches and report via the web interface. They may enrich their profile thus causing further matching. Data contributors periodically receive notification reports of errors and new ID assignments that concern their profiles.

The Quality Team

The Quality Team responds to errors reports from Data Contributors and from public contribution. We keeps a history of all email correspondence generated by the Quality Team.

The General Public

The general public is able to make contributions via the web search interface. A Captcha is used to ensure that the input is from a genuine human being, but identification is not mandatory. The data is collected into hidden indexed fields that generate an alert. This Quality Team receives this alert and sets a goal to respond within three working days. An email repose is sent if an address was given with the information. The Quality Team has set priorities for responding in the case all inputs involve data correction

Requests for Data Removal or Deletion

The data subjects are free to request that their data be removed at any time. Via the web interface, an individual or organization is able to request deletion of data elements or complete removal of the ID data. Such requests are reviewed, verified and enacted by the System Quality Team.

The Quality Infrastructure

• System for reporting errors .
• Ability to upgrade data for data contributors .
• System for the Quality Team for corrections .
• System for reporting corrections to data contributors .
• Regular anomaly checking by program .
• Regular data sampling and analysis of problems .
• Adjustments to correct or accommodate incoming data .