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Finding Data Quality IssuesWeRelate provides a few tools to help contributors find questionable information and/or duplicates so that they can improve the quality of WeRelate data. These tools include:
Addressing Data Quality IssuesSome data quality messages indicate an error (e.g., born after mother died), while others indicate an unusual but possible situation (e.g., older than 80 at marriage). If the data is incorrect, it should be fixed. As with any data entry on WeRelate, support the correction with sources. In particular, don't assume that a typo in a year involves only the century or only the decade. For example, 1984 might be a typo for 1884 or for 1894. If the data is correct, it can be marked as such, which will prevent the issue from being displayed again. This should only be done once appropriate sources are added to prove that the data is correct. The Data Quality Issues list makes it easy to mark an issue as correct (verified), which adds a template to the talk page. The templates (which are listed below) can also be added manually. If you can't determine whether or not the data is correct, you can mark it as "deferred", which will remind you that you looked at it already and couldn't (or chose not to take the time to) resolve it. The Data Quality Issues list makes it easy to mark an issue as deferred, which adds a template to the talk page. The template (listed below) can also be added manually. Data Quality TemplatesWhen there is proof that the data is correctThe following templates suppress automated "Questionable information" messages, and are intended for use only after establishing source documentation to support the relevant data.
When an issue hasn't been resolvedThe following template can be used to remind yourself that you looked at a data quality issue and chose not to or were unable to resolve it at that time. |