Transdisciplinary research on Triplification of Pedological Data and its adherence to FAIR Principles in the context of Digital Humanities and Digital Agriculture
Digital Humanities, Semantic Web, Linked Open Data, FAIR Principles, Digital Agriculture, Database, Artificial Inteligence
In the context of the Big Data era, where resources are increasingly dataified and processes are digitized, there is a growing challenge in ensuring the quality, reliability, and security of data. Human efforts alone are insufficient to address these concerns. Consequently, various opportunities have arisen, leveraging processes, principles, and emerging technologies to offer more suitable data treatments and effective ways of managing and sharing scientific data. Two prominent approaches in this context are the Semantic Web and the more recent FAIR Data Principles. These frameworks not only advocate for the utilization and reusability of data and metadata but also align with the Linked Open Data movement and its underlying principles. In essence, they facilitate the dissemination of data interconnection practices and promote their availability on the data web. Presently, the data repository of the OpenSoils platform contains a substantial volume of pedological data with significant relevance across multiple knowledge domains, including digital agriculture, sustainability, and digital humanities. However, this repository is not yet fully integrated into the data web. This research explores the intersections of concepts related to the Semantic Web, FAIR Principles, and Linked Open Data movements within the digital humanities domain. It proposes the development of intelligent artifacts utilizing ETLH (Extract, Transform, Load, Harmonize) workflows and intelligent algorithms. These artifacts are envisioned to be applied to the OpenSoils platform data repository in the context of digital humanities. The overarching goal is to establish a new digital data repository for the OpenSoils platform, characterized by its transdisciplinary nature and based on RDF (Resource Description Framework) triples. The origin of this repository is rooted in a project within the Digital Agriculture domain.