Please use this identifier to cite or link to this item: https://hdl.handle.net/10316/113675
Title: A metadata model for authenticity in digital archival descriptions
Authors: Pacheco, André 
Da Silva, Carlos Guardado
De Freitas, Maria Cristina Vieira
Keywords: Information representation; Archival description; Metadata; Model; Authenticity; Crosswalk
Issue Date: 2023
Serial title, monograph or event: Archival Science
Volume: 23
Issue: 4
Abstract: The advent of the information paradigm has shaken many of the principles of archi- val theory and practice. One key issue is knowing to which extent can digital infor- mation be trusted. Digital resources are represented by metadata, and trust consists in demonstrating their authenticity. Since the traditional elements used to verify the authenticity of analog records are not suitable in the digital world, the field faces a major challenge. The use of abundant, pertinent and constantly captured metadata seems to one of the most relevant solutions. This article aims to contribute to tackle this issue by setting the goal of proposing a model that attempts to include the most relevant metadata elements to capture the information that contributes for ascer- taining the authenticity of digital archival descriptions. To that end, mixed meth- ods methodology are employed. A qualitative documentary research is used to col- lect, analyze and interpret a corpus of scientific literature. As a complement, the quantitative technique requirements engineering is used to extract from international description standards the metadata requirements that can assist in the presumption of authenticity. Both approaches are then combined through a critical lens into a single unifying model for authenticity that is deemed as complete as necessary but as simple as possible. The model can be used by organizations or as a contribution to the discussion of authenticity and trustworthiness in digital archival descriptions.
URI: https://hdl.handle.net/10316/113675
ISSN: 1389-0166
1573-7500
DOI: 10.1007/s10502-023-09422-w
Rights: openAccess
Appears in Collections:I&D CEIS20 - Artigos em Revistas Internacionais

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