Authors:
Jana Martínková
and
Marek Suchánek
Affiliation:
Faculty of Information Technology, CTU in Prague, Prague, Czech Republic
Keyword(s):
Data Management Plan, Semantic Annotation, Ontology, Machine-Actionable, Human-Readable, DMP Template.
Abstract:
In recent times, Data Management Planning has become increasingly crucial. Effective practices in data management ensure more precise data collection, secure storage, proper handling, and utilization beyond the primary project. However, existing DMPs often suffer from complex structures that impede accessibility for humans and machines. This project aims to address these challenges by converting DMPs into formats that are both machine-actionable and human-readable. Leveraging established DMP templates and relevant ontologies, our methodology involves analyzing diverse approaches to achieve this dual functionality. We assess machine-actionability through comparative evaluations using AI and NLP tools. Furthermore, we identify gaps in ontologies, laying the groundwork for future enhancements in this critical area of research.