Representing Semantified Biological Assays in the Open Research Knowledge Graph

TL;DR

This paper discusses a system for automatically representing semantified biological assays within the Open Research Knowledge Graph to promote FAIR data principles and enhance research organization.

Contribution

It introduces a work-in-progress semantification system for bioassays in the ORKG, enabling rapid and automatic data generation to support research workflows.

Findings

Initial system implementation demonstrated quick data semantification.

Facilitates consistent recording of bioassays in ORKG.

Supports FAIR principles in biomedical research data.

Abstract

In the biotechnology and biomedical domains, recent text mining efforts advocate for machine-interpretable, and preferably, semantified, documentation formats of laboratory processes. This includes wet-lab protocols, (in)organic materials synthesis reactions, genetic manipulations and procedures for faster computer-mediated analysis and predictions. Herein, we present our work on the representation of semantified bioassays in the Open Research Knowledge Graph (ORKG). In particular, we describe a semantification system work-in-progress to generate, automatically and quickly, the critical semantified bioassay data mass needed to foster a consistent user audience to adopt the ORKG for recording their bioassays and facilitate the organisation of research, according to FAIR principles.