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Chimneys and the Great Storm of 1703

By Katie Kania , Jessica Otis

In late November of 1703, a “great storm” or hurricane struck the British Isles. Bad weather began a few days before the heart of the storm made landfall on November 26th, spawning tornadoes, ripping off roofs and chimneys, and destroying entire fleets. One of the most famous tragedies of the storm happened on the Goodwin Sands, a deadly sandbank off the coast of Kent. At least 53 ships were wrecked on the sandbank and over 2,000 men died just six miles from safety.

Old Age and Aged Deaths

By Kayleigh Seng , Jessica Otis

The London Bills of Mortality were originally and primarily focused on deaths from plague, however they very quickly expanded to include other causes of death as well. From accidents and drownings to measles and smallpox, the printed bills included citywide summary statistics—rather than parish-by-parish breakdowns—for each week. While we can therefore learn a fair amount about causes of death throughout the city, very little information can be gleaned from the sixteenth- and seventeenth-century bills about the age at which people died.

The Parish Clerks' memento mori: Iconography of Death and trademark in The London Bills of Mortality, 1727-1752

By Hernan Adasme

In the fourth week of 1727 the habitual readers of the Bills of Mortality noticed something different in the most recent bill. The bill printed on Thursday January 9th showcased a border of skulls and crossed-bones framing the death counts in both the verso and the recto.1 The artwork of the skull was fairly simple: a bike-seat-like cranium slightly bent to the right, with triangular nostrils, three ovals as eyes and mouth, and two crossed-bones at the bottom.

Strangled himself (being distracted): Messy Data and Suicides in the Bills of Mortality

By Emily Meyers

Content Warning: This post contains subject matter that some may find sensitive or disturbing, be advised. If uncomfortable with this topic, you may support Death By Numbers in other posts. This blog post will be a bit different than a few of our previous posts. Now that we have discussed our project workflow, we are going to begin to discuss the content of the Bills themselves. One thing that we immediately noticed on beginning this project is that suicides are reported on the Bills in a variety of ways that lead to more questions than answers regarding the weekly suicide rate in London.

How We Get Things Done: The Transcription Workflow

By Megan Brett , Dan Howlett

Figure 1. Bills of Mortality Workflow. Once items are added to DataScribe and the datasets are ready for transcription, the transcription workflow begins. The project owner can assign users one of two roles: reviewer or transcriber. Reviewers can edit all records and items, regardless of the item’s status. For Bills of Mortality, Reviewers include the staff members on the project and our Digital History Research Assistants. Transcribers can only edit records and items which are locked to them.

From Archival Sources to Computational Analysis, Part Two

By Megan Brett , Megan Mitchell

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.

From Archival Sources to Computational Analysis, Part One

By Megan Brett , Megan Mitchell

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. Figure 1. diagram of image preparation workflow showing process from digitization to image processing and CSV creation to omeka s item creation to datascribe transcription. 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.

7 Problems to Expect when You're Transcribing Historical Data and How to Avoid Them

By Dan Howlett , Emily Meyers

So you want to start transcribing data from historical documents? The task seems easy! However, there are quite a few issues that can pop up which can create problems for other parts of the project. Below are some of the expected errors our transcribers on Death By Numbers frequently run into and some tips on how to handle them. The job may sound intimidating with all the potential pitfalls, but we have suggested solutions from all the tips and tricks our team has picked up over the past few months.

A Parish By Any Other Name

By Megan Brett , Jessica Otis

The Bill of Mortality from Christmas week in 1664 reports that three people died in the parish of St Foster. But fifty years later, there were happily no Christmas deaths in the parish of St Vedast—or rather, the parish of “St Vedast alias Foster.” Because the parish of St Vedast is the parish of St Foster. Welcome to the complex world of early modern parish names. Given that our sources were published over the course of centuries, it’s hardly surprising that the names of some of the parishes in the bills changed over time.