Correcting suggestions in the WikiTree database is what Data Doctors do to improve profiles and the health of the one-world tree.
Aleš Trtnik, a WikiTree Team Member, designed WikiTree Plus, which examines WikiTree profiles and generates suggestions for data issues.
These suggestions are classified by topic groups and rated as Easy, Intermediate, and Advanced difficulty levels.
There is something to do for everyone. Would you like to learn about and help resolve Errors, Hints, and Warnings? Keep up to date on suggestions? Participate in discussions for or help with project developments?
If you have been a WikiTree member for at least one month, signed the Honor Code, and have made at least 100 contributions, please join the Data Doctors Project and become a Data Doctor!
You can learn more here: Data Doctors Project.
If you are interested in joining us, please click " Answer this post " below this post (do not comment further).
When we see your Answer, we will send the Data Doctors Questionnaire (the DDQ) for you to complete within one week (and if you need more time, reply to the private message). We collect demographics for project members and other information to help you improve your profiles and start your Data Doctor practice. Once you complete and we review the questionnaire, we can award your badge.
Once you receive your badge, we ask that you:
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respond to project polls bi-annually, which is a WikiTree project requirement,
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answer questions about the project sent periodically,
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follow the project guidelines and instructions, and
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let us know what suggestions you are interested in resolving.
We appreciate and thank you for your interest and look forward to working with you!