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Data Model

For this project, we have gathered data mostly about the creator of works; in this case, about the female-identified science fiction writers who wrote (and write) under male or gender-neutral pseudonyms. This data model focuses on that biographical data, illustrating a creator-centric model that discerns data about (around) the creator. Much of this data is biographical, identifying birthdays (bio:Birth), deaths (bio:Death), education (dbpedia-owl:education), spouses or partners (bio:partner), family or birth names (foaf:familyName and foaf:birthName), and more. Properties were first curated based on their relevancy in relation to the data itself (is it more sensible to use dbpedia-owl:spouse than bio:partner? In this context, where gender and sexuality often dissolve—no), and secondly based on the omnipresence of the ontology itself. For example, dbpedia-owl:birthName was replaced with the more comprehensive and widely used foaf:givenName and foaf:familyName. It was often found, however, that dbpedia-owl and dbpprop used more relevant properties that do not yet exist in other, more commonplace ontologies.

The woman who writes (viaf:266704950 is Alice Sheldon) and their male alias (“James Tiptree, Jr.”@en or viaf:62099890) are of course indistinguishable from one another, save for the fact of their label. By focusing on the creator under their birth, family, or married name (Alice Sheldon), we have the opportunity to highlight the use of an alias as an act of gender masking. In order to describe this, we have created the property uniq:gendermask.

In order to understand the relationships between creators and their works, editors, publishers, and beyond, we have also created an item-centric model that uses an author’s most notable works as a subject. In this model, we have described relations between James Tiptree, Jr.’s short story, The Women Men Don’t See (ifsdb:50661), and its original publisher (dcterms:publisher), editor (bibo:editor), creator (dcterms:creator), title (rdfs:label), and so on. URIs will often come out of the Internet Speculative Fiction Database (isfdb) due it is extraordinarily comprehensive records. Most notable works are chosen based on their availability in libraries around the world and their descriptions (or lack thereof) in Wikipedia.

These models were illustrated using CMaps.