Remzi Celebi

Remzi Celebi

Assistant Professor at Maastricht University (DACS). Research in Knowledge Graphs, Semantic Web, and AI for personalized health and drug discovery.

User-friendly composition of FAIR workflows in a notebook environment

Published in Proceedings of the 11th Knowledge Capture Conference (K-CAP), 2021

Recommended citation: Richardson, R.A., Celebi, R., Van Der Burg, S., Smits, D., Ridder, L., Dumontier, M., & Kuhn, T. (2021). User-friendly composition of FAIR workflows in a notebook environment. Proceedings of the 11th Knowledge Capture Conference, 1-8. https://dl.acm.org/doi/10.1145/3460210.3493549

Presents a user-friendly approach for composing FAIR scientific workflows within computational notebook environments, lowering the barrier for researchers to adopt FAIR practices.

Citations: 11

Download paper here

Richardson, R.A., Celebi, R., Van Der Burg, S., Smits, D., Ridder, L., Dumontier, M., & Kuhn, T. (2021). User-friendly composition of FAIR workflows in a notebook environment. Proceedings of the 11th Knowledge Capture Conference, 1-8.