2021 •
Applying Effective Data Modelling Approaches for the Creation of a Participatory Archive Platform
Authors: Julien A. Raemy
Venue: N/A
Type: Publication
Abstract: The development of a participatory archive platform such as the one being carried out for the PIA research project requires a flexible infrastructure allowing genuine data curation and a robust underlying data model. A strong assumption to achieve this is to primarily leverage Linked Open Usable Data (LOUD) standards, such as IIIF, Linked Art or the Web Annotation Data Model, which help in the dissemination and reuse of cultural heritage resources as well as contributing that digital humanities initiatives become more sustainable.
Popularity: This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the
underlying citation network.
Influence: This indicator reflects the overall/total impact of an article in the research community at large, based on the
underlying citation network (diachronically).
Citation Count: This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in
the research community at large, based on the underlying citation network (diachronically).
Impulse: This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation
network.
We have placed cookies on your device to help make this website and the services we offer better. By using this site, you agree to the use of cookies. Learn more