Provenance visualization: Tracing people, processes, and practices through a data-driven approach to provenance.
Provenance disclosure—the documentation of an artifact's origin and how it was produced—is an important aspect to consider when working with historical records which undergo multiple transformations in preparation for and during digitization. Provenance in this context is commonly communicated throu...
| Publicado en: | Digital Scholarship in the Humanities Vol. 38; no. 3; pp. 1322 - 1340 |
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| Autores principales: | , , , |
| Formato: | Artículo |
| Publicado: |
Oxford University Press / USA
Sep2023
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=171389430&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 171389430 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 2055768X JEO9 jtl: Digital Scholarship in the Humanities issn: 2055768X maglogo: N pubinfo: dt: Sep2023 vid: 38 iid: 3 pid: 622 pub: Oxford University Press / USA artinfo: ui: 171389430 10.1093/llc/fqad020 ppf: 1322 ppct: 18 formats: fmt: – @attributes: type: T – @attributes: type: P size: 932KB tig: atl: Provenance visualization: Tracing people, processes, and practices through a data-driven approach to provenance. aug: au: Vancisin, Tomas Clarke, Loraine Orr, Mary Hinrichs, Uta affil: University of St Andrews, St Andrews, UK University of Edinburgh, Edinburgh, UK su: Data visualization Digitization Visualization Implicit bias Historical source material Disclosure sug: subj: Data visualization Digitization Visualization Implicit bias Historical source material Disclosure ab: Provenance disclosure—the documentation of an artifact's origin and how it was produced—is an important aspect to consider when working with historical records which undergo multiple transformations in preparation for and during digitization. Provenance in this context is commonly communicated through explanatory text or static diagrams. However, the methodological and curatorial decisions that have influenced the records' data are easily overlooked, in particular when exploring the records through visualization as a result of digitization processes. We propose a data-driven approach to provenance disclosure which (1) traces provenance back to when the records were created, (2) documents and categorizes the records' transformations (transcriptions, content modifications, changes in organization, and representational form), and (3) uses data visualization to disclose provenance in interactive ways. We reflect on how this approach can be practically applied in the context of historical record collections, and we present findings from a qualitative study we conducted to investigate the merits and limitations of provenance-driven visualization. Our findings suggest that data-driven provenance disclosure has the potential to (1) promote transparency and deeper interpretations of historical records, (2) provide rigor in researching historical document collections and underlying production processes, and (3) encourage ethical considerations by making visible labor and implicit bias that influence the production and curation of historical records. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: © 2019 EADH: The European Association for Digital Humanities. item: Digital Scholarship in the Humanities holder: Oxford University Press / USA dt: @attributes: year: 2023 holdings: @attributes: islocal: N |
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