Harnessing AI to Elevate Machine-Actionable Data Management Plans (maDMPs)

This demonstration explores the transformative potential of artificial intelligence (AI) in advancing data management planning and the development of machine-actionable data management plans (maDMPs). We highlight how AI can revolutionize research data management by improving processes like data preparation, model training, and human oversight. Our primary targets are to understand the transformative role of AI in data management, and critically evaluate the extend of required human oversight.

Key areas of focus include:  Developing AI tools tailored to specific roles like researchers, data stewards, and funders.  Using methodologies such as data analytics, deep learning, and large language models to enhance DMP prototypes.  Addressing contemporary topics such as digital objects, ontologies, and data spaces for academic and commercial research contexts.

Examples of our use cases contain dynamically drafting and updating DMPs throughout the research lifecycle, ensuring compliance with reproducibility standards, and evaluating DMPs against selected performance criteria. Other scenarios include supporting ethical reviews, generating data availability statements, and deploying coaching tools for reproducibility and data stewardship.

We will also assess the importance of human oversight,and how the limitations of AI impact data management practices. We offer insights into the future of AI-enhanced research workflows and show how innovative approaches to AI-driven data management solutions can be applied.