Updated Query based on field names/details provided. You had provided Author and Contributor as extracted fields earlier but in the new details you have not mentioned the same. Please confirm. In any case basically you have to take two things in account.
Since Document ID Is unique for each document that is the key, so your stats will be by ID.
Since you can get multiple entries for the same document everyday with same version, you should perform a distinct_count() or dc() based on the Versions i.e. dc(Version). min(), max(), last() and values() are other statistical functions that you can take advantage of to pull the data/stats as per your need.
<YourBaseSearch>| stats dc(Version) as VersionCount last(Title) LatestTitle last(Accountable_Owner) Publisher values(support_Contributor) as Contributors min(Last_Update) as FileCreateDate max(Last_Update) as FinalUpdateDate values(Version) as Versions by ID
| search VersionCount>1
| table ID Title Publisher Versions Contributors FileCreateDate FinalUpdateDate
Files with VersionCount=1 will imply that they have not been modified since creation.
Refer to the list of statistical functions available in Splunk: http://docs.splunk.com/Documentation/Splunk/latest/SearchReference/CommonStatsFunctions
If you have something like a Document ID it would be better to correlate, however, based on data you provided you can try with Title and Author of the document as the correlation key. There can be several options, but I am using stats as the query would run for really long duration of time. It would be better to provide some filters on your dashboard for Searching patterns of Title, Author, Contributors and include them in your base search.
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