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Linked Open Usable Data in the Humanities

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Linked Open Usable Data in the Humanities: Perspectives on Semantics and Interoperability 

PhD Thesis in Digital Humanities conducted by Julien Antoine Raemy and supervised by: PD Dr. Peter Fornaro (University of Basel), Prof. Dr. Walter Leimgruber (University of Basel), and Dr. Robert Sanderson (Yale University)

In my doctoral thesis conducted at the University of Basel's Digital Humanities Lab, I have identified two research axes for assessing Linked Open Usable Data (LOUD) in the Humanities, the first axis focusing on Semantics and the second on Interoperability.

It is grounded as part of the SNSF-funded Participatory Knowledge Practices in Analogue and Digital Image Archives (PIA) research project (2021-2025), which aims to develop a Citizen Science platform around three photographic collections of the Swiss Society for Folklore Studies (SSFS)' archives, namely the Atlas of Swiss Folklore (SGV_05), Kreis Family (SGV_10), and Ernst Brunner (SGV_12) collections.

The theoretical framework of my thesis is situated through and beyond an Actor-Network Theory (ANT) lens, a constructivist approach mainly defined by Bruno Latour. 

Structure

This website is structured as follows:

The 1) Summary outlines the setting of my thesis, notably by disclosing each current part of the table of contents (there are up to four levels of depth) as well as the aspects related to the objectives, research questions, theoretical framework and methodology. Following are the 2) Notebook Entries that accompany the thesis and also show the impact that I have within the associations that weave around it, and in particular the data model and information architecture, essential actors within this endeavour.

Obviously this is a work-in-progress and also a meta exercise where Omeka S is intended to assist in the development of a data model surrounding my thesis, whether it be at a more formal level for the Summary or at an experimental level for the Notebook. The purpose is to use as much as possible LOUD standards, i.e. the International Image Interoperability Framework (IIIF), Linked Art and the Web Annotation Data Model.

Lastly, the 3) Research Outputs that were written and presented throughout the PIA project and related to the PhD are also recorded.  Have a look at my personal website to have an insight of the range of content I have written, presented and also lectured on.