Railway Records for the Genealogist - what exists and where to find them
In this talk Mike Esbester will introduce you to some of the records generated by the British railway industry which could help you with your genealogical research. He will briefly outline the nature of the industry and what sorts of documents it produced, as well as what has survived. We will cover key sources and where you can get hold of them, as well as some more unusual material that you might not have thought of trying.
'Railway Work, Life & Death’: a new resource for genealogists
In this presentation Mike will explore a great source of information for genealogical research, but which has so far been largely overlooked: railway worker accident reports. He will outline the history of railway staff safety, before turning to the ‘Railway Work, Life & Death’ project and the database of cases that is now freely available for you to use, from www.railwayaccidents.port.ac.uk. From the outset he has been working with and for family historians and genealogists. Ahead of the session, you are warmly invited to explore the project website and particularly the database – Mike is looking forward to your feedback on it and suggestions for future developments.
About the speaker:
Dr Mike Esbester is Senior Lecturer in History at the University of Portsmouth. His research focuses on the history of transport and mobility in modern Britain, and on safety, risk and accident prevention in twentieth-century Britain, with a particular interest in the railway industry. Mike is the academic lead on the ‘Railway Work, Life & Death’ project (www.railwayaccidents.port.ac.uk; @RWLDproject), a collaboration with the National Railway Museum and the Modern Records Centre at the University of Warwick, looking at accidents to British and Irish railway workers from the late 19th to mid 20th centuries. You are warmly encouraged to make use of the project's free resources, including a database of c.4,500 cases, currently being expanded to bring another 70,000 records into the dataset.
02/05/2020 10:30 - 13:00
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