Collaboration Among Pemberton Genealogists
One of the major purposes of the Pemberton Family World Wide is to foster and facilitate collaboration. The Pemberton Family World Wide is like a giant picture puzzle and all the researches are the puzzlers, who, when they have finished the scene they are most familiar with, begin to look to help with other scenes. There can be little doubt that an organised approach to the putting together of the beautiful picture of the entire Pemberton family will give the quickest and most rewarding result.
Facilities at the PFWW website
This website provides several facilities to help make researchers into collaborators:
- A safe repository for reviewed and accepted genealogical data
- A list of members who are interested in the Pemberton surname
- A easy method to identify members who may be interested in collaboration with you
- A robust group function that any member can exercise (see PFWW Collaboration Groups below)
- A flourishing DNA project for links to others interested in the branch you are pursuing
- A searchable database of Pemberton findings
- Transcription projects to make all Pemberton wills, deeds, etc available to all PFWW members
- Opportunity to become an Author with completely free access to all data at the PFWW website
- Opportunity to become a Publisher with complete authority to author and edit material for the PFWW
- Opportunity to become an official Genealogist for the PFWW and serve on the Genealogical Council
Please, if you have an idea that would assist in the effort to simplify and/or motivate collaboration, please direct your suggestions to the firstname.lastname@example.org.
PFWW Collaboration Groups
The social functions of this website allow any member to create and administer a group. These groups have the following characteristics to assist with research or any kind of collaboration:
- A group may be “public” (available to any member of the PFWW, or “private” (can only be seen by members who have been invited into the group)
- A group has both a discussion forum and a news bulletin
- A group can have its own avatar and photo album
- A group has its own event calendar
- “One click” sends an email to all group members
- It is simple to invite others to join your group
Suggestions for Researchers
We suggest for your consideration, the following methodology for conducting Pemberton genealogical research:
- Become a member of the PFWW and in your membership profile indicate that you are a Pemberton researcher interested in collaboration.
- Contact other researchers you find here, particularly if you can find one working on your branch of the family.
- Create a research group so you have a forum, bulletin, email list, and event calendar exclusively for your project.
- Publish your working genealogical data in a private tree at ancestry.com and in the tree’s description explain why it is private and urge people to contact you for more information. This is a free service open to the public. We suggest private trees because there is much “hijacking” of hard work and consequential corruption of trees leading to muddled and mangled genealogical data on the internet. The object of this approach is to make the data published at the PFWW as accurate as possible so that Pemberton researchers can (hopefully) lodge considerable trust in it. Meanwhile, a researcher has to have a place for a working tree where he can place the on-going results of current research. You may want to have several tree fragments where you try different scenarios while you are gathering data.
- When you have a block of data and you are comfortable with its accuracy, submit it to the PFWW Genealogist for review and addition to the database here. This block of data may be several generations and families or only a single household, or when data is difficult to find, as in pre-1800, then you may want to assist in putting the puzzle together with just one piece (person) whom you see fits well with adjacent pieces. The principle here is to submit data to the PFWW tree that is quite reliable to the master tree so that others can benefit by the value of data that is as accurate as possible.