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A blueprint for establishing a workflow for generating research data in humanities research projects using the example of the project Exil.Trans. FAIR criteria as well as Linked Open Data principles and ontology-based modeling are addressed.

RIDE – A review journal for digital editions and resources, Issue 16: Digital Scholarly Editions

Historical accounting records, a genre of manuscript document that can be encoded in TEI/XML, can be a rich source about local social and economic relationships in the past as well for comparative purposes. With the Digital Edition Publication Cooperative for Historical Accounts (DEPCHA), documentary editors and developers in the United States collaborated with digital humanists at the Zentrum für Informationsmodellierung (Centre for Information Modeling) at the University of Graz to apply a bookkeeping ontology to accounts. The main use cases for this project are the Financial Papers of George Washington (Stertzer), accounting records from a store on the Stagville Plantation in North Carolina (Brumfield and Agbe-Davies), and a day book kept by Laban Morey Wheaton, a businessman who kept a dry goods store in Norton, Massachusetts, between 1828 and 1859 (Tomasek and Bauman). This paper focuses on a workflow for creating linkable data using the TEI @ana attribute. While the Wheaton edition was created using TEI-XML, the data for the Washington Financial Papers and for the Stagville store were created using Drupal and FromthePage, respectively. Transformation to TEI-XML for these records is an interim step for creating the RDF for linking on the Web of Data (Pollin 2019). Examples will be drawn from the Stagville/FromthePage and Wheaton/TEI-XML data. Upcoming work on building a bridge from Drupal to TEI-XML is part of the project’s ongoing research agenda. Part of the workflow for creating RDF includes use of WikiData and OpenRefine. Since the currency, goods, and services exchanged had contextual meanings grounded in both place and time, ongoing work also focuses on mapping information from taxonomies based on the digital editions of the primary sources to Historical Statistics of the United States, a long-standing project in U.S. economic history. Examples will include an alpha-version TEI taxonomy drawn from this source. Future work will involve mapping taxonomies from the Washington Financial Papers onto this TEI taxonomy and expanding it accordingly.