Guide The Genealogist and the Project Manager

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Add to Wishlist. USD 9. Buy Online, Pick up in Store is currently unavailable, but this item may be available for in-store purchase. Sign in to Purchase Instantly. Overview A "How To" for the Genealogist and Historian, this book will guide you through writing a professional-level supportable history based on genealogical research.

Additionally it will help you write professional-level genealogies based on historic studies. As a certified Project Management Professional and a college instructor I wanted a structured, rigorous, professional approach that could be taught to others so they could produce the great histories that their families and communities deserve. These are my answers to those two questions. I continue to use these solutions to guide my efforts to develop and publish histories. Product Details. Average Review.

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Related Searches. They were without love in the spirit world. Praying to God First I utilized search engines that could scan through millions of indexes and pinpoint records possibly relating to Martha; then, I acquired the corresponding original records where possible.

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Martha was married at age 20 to Benjamin Smart, and together they went on to have nine children. I discovered that the year was extraordinarily difficult for Martha. That May, her husband of seventeen years died, leaving her to care for their four surviving children. An index led me to this image of his original burial record, which told me that Benjamin was age 40 when he was buried, and he had resided at Swanswell in Coventry:. Twelve weeks later, their ninth child, Emma, was christened, implying that Martha had been pregnant when she buried her husband.

These details were not found in the online index — only in the original record:. Death, birth, death — all within three months. I learned that Martha quickly remarried, something any woman with four children to care for in pre-industrial England would have done for protection and security. According to this image of the original marriage record, on 11 February she married a widower, John Hewitt.

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Once again, the name of the witness had not been transcribed in the index. This took going the extra mile:. Martha was then found on the U. Census, living in Coventry with her husband John and son Samuel from her previous marriage.

  • Step 1: Assess the chance that the theory is invalid?
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Martha worked as a silk winder while her husband was employed as a laborer:. The final record gathered regarding Martha related to her burial. I could have stopped there, and just assumed that this probably was her.

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I could have been content with a month and year of death and an estimated birth. Instead, I went the next step and ordered this record from the General Register Office. When the death registration arrived, I examined every piece of information on this record to determine if this was indeed the ancestral Martha, using information not included in the index.

I determined that this was indeed Martha because she was the widow of John Hewitt, a pensioner who had lived at 23 Foot. It may well be that I am dealing with two individuals with the same name so I need to sort that out. Example 2: If I have a birth record and a population register for a person where the birth date in the birth record is one day earlier than the date in the population register, my theory would be that the birth record is correct since that record was created within five days with an informant who was present at the birth, while the population register is written years later when the birth date was copied from other records.

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The impact of the one-day-difference would be minimal, so I would consider the risk that the birth date is incorrect to be low. The Genealogical Proof Standard does not require proof beyond any reasonable doubt.

A case is considered proven when it is based on reasonably exhaustive, well documented research, where evidence is analyzed skillfully, any conflicts are resolved and the conclusion is written down. That could be as simple as trying a wildcard in a search engine or as complex as reconstructing the population of a whole town for an entire century and yes, I have solved a case doing just that! These are all measures that minimize the chance of the risk occurring. I cannot think of any measures that would limit the impact of a mistake, since the impact is inherent to the type of conclusion being made.

Or maybe I could open a savings account to set aside some money for someone to redo my tree if it turns out I made a mistake…. Go back to step 1 and reassess the risk that the theory is invalid. Rinse and repeat until you reach a conclusion. I have a scan of his birth record , which tells me he was born on 28 October His age in the marriage record matches the 28 October birth date, but the age in the death record is off by 10 years.

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My theory is that his birth date is 28 October I start by assessing the reliability of the records. I know that the laws governing birth records make them very reliable: they were created within five working days of the birth, and the informant was either the father or someone who had been present at the birth. The record would have been read aloud to the informant and then signed by him. I have an original record where the date is clearly written and consistent with the dates of surrounding records. The chance that this record is incorrect is low. Similar laws governed the creation of marriage and death records.

I know that indexes are more prone to errors than original records. It is easy to make a typo when entering a number, as in the case of an age. The impact of a mistake in the birth date is not as high as a mistake in other types of conclusions, so my overall risk is pretty low.

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There are some easy things I could do to lower the risk even further so I decide to take mitigating measures. I decide to find the scans of the marriage and death records. I find out that a typo was made with the death record and that the age in the original record is a match to the birth date.

The information in the original marriage record matched the index entry.