After gaining skills in digital prosopography, testing multiple database designs, and assessing different software, a relational database on all women mentioned in the Crónica de Castilla was generated. The completion of this database in Excel represents a combination of digital and traditional methods, since all entries were based on the close reading of the chronicle. Next to better-known individuals, this innovative database, named “FEMIber CrCast”, includes anonymous, non-documented, and non-identifiable (groups of) women, whose data is structured in different categories, from recorded names to death-related information. Besides determining categories and values applicable to most women in the work, values with special symbols and flag fields were added to indicate the probability, credibility, or quality of the recorded information. Whenever possible, Wikidata identifiers were incorporated for additional quality control. The database is stored on the open CORA.RDR repository:
https://doi.org/10.34810/data1904(öffnet in neuem Fenster). After a series of modifications and design improvements, it was published online as a user-friendly research and educational tool (
https://femiber.upf.edu(öffnet in neuem Fenster)). According to Google Analytics, this interactive version, which also features various graphs, had over 670 international users in the first year.
In the following phase of the project, a different computation approach was chosen for the Livro de Linhagens do Deão to avoid methodological repetition. Despite its title, this genealogical work is not based on male ancestry, and its bilateral model confirms women’s relevance in most lineages. Following a training in social network analysis, a database that focused on kinship ties was designed. The data model was based and tested on representative samples, and the Nodegoat environment proved to be a suitable tool due to the possibility to combine spatial aspects with social network analysis. This non-linear way of “reading” of the work further pointed to the frequency and distribution of certain elements linked to people (for example, titles, childlessness, offices, etc. – all recorded as their attributes), whose exploration is currently in preparation.
Numerous challenges of these data-driven approaches, their analytical potential, and the generated graphs were discussed in a series of conference papers, seminars, and talks, an open access article from 2025, as well as in other outreach, mostly digital, formats. The modified data sets were also used in teaching and communication outreach activities, including two open workshops on digital literacy. The project’s quality and impact were further enhanced via discussions and exchanges during the two secondments (Fordham and Brown) and the non-academic placement at the Ignacio Larramendi Foundation.