A metadata model for authenticity in digital archival descriptions

The advent of the information paradigm has shaken many of the principles of archival theory and practice. One key issue is knowing to which extent can digital information 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 ascertaining the authenticity of digital archival descriptions. To that end, mixed methods methodology are employed. A qualitative documentary research is used to collect, 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.