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Open historic data created from historical indenture records in the collections of the American Philosophical Society.

historic-indenture-data's Introduction

Historic Indenture Data

Record of indentures of individuals bound out as apprentices, servants, etc., and of German and other redemptioners, 1771 October 3 - 1773 October 5

What is this data?

This dataset was created from a volume of over 800 pages that records information pertaining to individuals entering contracts of indentured servitude in Philadelphia from 1771-1773. Each entry contains details about the person to be indentured, including their name, country of origin, length of contract, and amount of debt owed. The records not only list the name of the person, but contain details on their profession and on the terms of the indenture. The original volume (Mss.647.P53) from which this spreadsheet was made is in the collections of the American Philosophical Society and can be viewed in the APS Digital Library.

Who created this data?

  • Cynthia Heider, Digital Projects Assistant
  • Ben Weinstein, C.V. Starr Explore America Intern

How was this data created?

Please see each individual dataset's documentation for detailed information on its process, structure, and sources.

What these datasets are not

Open historic data is not a replacement for or an identical recreation of the original manuscript record from which it was created. Rather, it is intended to to make these volumes easier to use.

This dataset was created as part of the American Philosophical Society's Open Data Initiative (Learn more at http://diglib.amphilsoc.org/data). Although contributors took care to minimize mistakes and inconsistencies in the creation of these items, and have included any assumptions or choices made on their part that may affect interoperability or integrity of the data, APS cannot guarantee that they are free of instances of human error. They are offered "as is," and researchers are encouraged to consult the original records in digital or physical format in the event of uncertainty. If you have feedback or notice errors in the data, please contact us at [email protected].

License

These datasets are available for anyone to evaluate, share, reuse, and remix as they wish under a Creative Commons Attribution 4.0 License, and in accordance with the APS Open Access Policy. Please attribute APS Library & Museum. A sample citation can be found in the dataset documentation.

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