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Death by Numbers

Quantitatively Analyzing the London Bills of Mortality

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  • How we get things done: the transcription workflow
  • From Archival Sources to Computational Analysis, Part Two
  • From Archival Sources to Computational Analysis, Part One
  • 7 Problems to Expect when You’re Transcribing Historical Data and How to Avoid Them
  • A Parish By Any Other Name

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  • May 9, 2022May 8, 2022
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From Archival Sources to Computational Analysis, Part Two

  • Workflows

In our last post, we explained how we used Tropy to organize photographs of bound bills into items, concluding with the export of the item metadata using the Tropy CSV Export plugin. This post covers the other part of the process of going from digital images to items in a datascribe item set. If you look at the workflow image, we’ll be describing work that takes place in the “Image Processing and CSV Creation” and “Omeka S Item Creation” areas. At this point in the process we have a csv and a lot of digital files—possibly organized but maybe not. Each row in the csv file will become an item in our Omeka S installation. Before we can use the csv with the Omeka S CSV Import module, we need to do some further data cleanup. The first thing is to rename the columns in […]

Continue Reading From Archival Sources to Computational Analysis, Part Two
  • April 25, 2022
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From Archival Sources to Computational Analysis, Part One

  • Workflows

Have you ever wondered how a complex project like Death by Numbers comes together?  This post is the first in a series about the workflow that takes us from archival sources to transcriptions formatted for computational analysis.  Let’s begin with digitization.  Digitization of Original Documents  There are many ways historic documents become digital objects, and the BoM project is built on documents from a variety of sources.  Sometimes we are working with digital images created by commercial publishers from microform reproductions of originals, but in the case of a set of bills in the care of the Wellcome Collection, the project director handled the primary sources directly and took the digital photographs.  These bills, which were originally collected by the Medical Society of London, have been bound into volumes. While binding undoubtedly helped preserve the bills, they were not designed to be read in this […]

Continue Reading From Archival Sources to Computational Analysis, Part One

Recent Posts

  • How we get things done: the transcription workflow
  • From Archival Sources to Computational Analysis, Part Two
  • From Archival Sources to Computational Analysis, Part One
  • 7 Problems to Expect when You’re Transcribing Historical Data and How to Avoid Them
  • A Parish By Any Other Name

Browse by Topic

background brett geography howlett metadata meyers mitchell omeka otis time transcription tropy
Tweets by PlagueBills
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