In order to preserve the identity and privacy of the editing community, we have made several modifications to the dataset. 
1.	First off, we removed all the open-ended responses from the data. For instance, all the “Other” sections associated with some questions (one example: D7b_other: In which country do you live?) were removed from the data.
2.	Due to the open-ended nature of the responses to the income question (D6_SQ001,D6_SQ002) it was removed.
3.	Some users chose to provide us with their e-mail addresses. This column was removed.
4.	For the purposes of our analysis, we had included actual user data: lifetime edits, joining year etc. This was excluded from the dataset.
5.	To understand any inappropriate experiences our edits may have faced, we asked about these in Q24 & Q25. To protect their privacy, this information was removed.
6.	Also, we removed the column describing the time the response was submitted, as it wasn’t relevant. 
After these basic checks, we took a series of steps to ensure the privacy of minorities – geogaphic, language as well as gender. Due to their relatively smaller numbers, we wanted to make sure that their identities could not be easily deciphered. 
A. For startlanguage, Country of residence (D7b), the primary languages question (D9_1-D9_99), the Wikipedia contribution languages question (Q1), as well as the reading languages question (Q2):
1.	If the total number of entries for a single response (for instance, a single country) was less than 26, all those entries were set to “Other”.
2.	Next, if the number of entries by women were less than 11, all those entries were set to “Other”.
3.	Due to their extremely small numbers, entries for transsexual/transgenders were set to “Other”.