Facilitator(s)
Eduardo Febres @febr3s
Abstract
Cultural heritage materials – particularly those representing marginalized communities – often lack authoritative metadata due to systemic biases in library cataloging. Traditional reconciliation tools like OpenRefine depend on unstable third-party VIAF services and centralized library workflows, creating barriers for independent researchers, activists, and small GLAM institutions. This presentation introduces a lightweight but powerful Python workflow that leverages Zotero’s API to bridge this gap through three key innovations: (1) direct VIAF AutoSuggest API integration that bypasses unreliable proxies, (2) role-aware reconciliation for authors, editors and translators with provenance tracking in Zotero’s Extra field (e.g., “VIAF (Translator):123456|Wikidata:Q789”), and (3) a human-in-the-loop design that prioritizes researcher judgement for contested metadata – especially critical for non-Latin scripts and oral tradition knowledge systems.
The workflow addresses three persistent challenges in authority control: First, it eliminates the CSV export/import bottleneck of OpenRefine by operating natively within Zotero. Second, it uses Wikidata as a crowdsourced gateway to VIAF, enabling immediate contributions from researchers without library affiliations. Third, it implements tiered reconciliation: automated exact matches, user-validated fuzzy matches, and Wikidata fallbacks for wholly new entities. A case study with Afro-Latin American writers’ texts demonstrates how this method successfully captured 22% more contributor identities than traditional library processing.
Attendees will learn: (1) how to implement the script, (2) ethical frameworks for decentralizing authority work while respecting cultural protocols, and (3) integration strategies with existing library systems.
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