Electronic laboratory notebooks in a public-private-partnership. - Lea A. I. Vaas; Gesa Witt; Björn Windshügel; Andrea Bosin; Giovanni Serra; Adrian Bruengger; Mathias Winterhalter; Philip Gribbon; Cindy J. Levy-Petelinkar; Manfred Kohler (PeerJ Prepr., 2016)

Minimal information for chemosensitivity assays (MICHA): a next-generation pipeline to enable the FAIRification of drug screening experiments. - ZiaurRehman Tanoli; Jehad Aldahdooh; Farhan Alam; Yinyin Wang; Umair Seemab; Maddalena Fratelli; Petr Pavlis; Marián Hajdúch; Florence Bietrix; Philip Gribbon; Andrea Zaliani; Matthew D. Hall; et al. (Briefings Bioinform., 2022)

EOSC-LIFE WP4 TOOLBOX: Toolbox for sharing of sensitive data - a concept description. - Jan-Willem Boiten; Christian Ohmann; Ayodeji Adeniran; Steve Canham; Mónica Cano Abadia; Gauthier Chassang; Maria Luisa Chiusano; Romain David 001; Maddalena Fratelli; Philip Gribbon; Petr Holub; Rebecca Ludwig; et al. (CoRR, 2022)

Proposal for a framework of contextual metadata in selected research infrastructures of the life sciences and the social sciences & humanities. - Christian Ohmann; Maria Panagiotopoulou; Steve Canham; Petr Holub; Kurt Majcen; Gary Saunders; Maddalena Fratelli; Jing Tang 002; Philip Gribbon; Reagon Karki; Mari Kleemola; Katja Moilanen; et al. (Int. J. Metadata Semant. Ontologies, 2023)

PEMT: a patent enrichment tool for drug discovery. - Yojana Gadiya; Andrea Zaliani; Philip Gribbon; Martin Hofmann-Apitius (Bioinform., 2023)

Synergies Among Health Data Projects with Cancer Use Cases Based on Health Standards. - Amelie Gyrard; Philip Gribbon; Rada Hussein; Somayeh Abedian; Luis Marti Bonmati; Gibi Luisa Cabornero; George Manias; Gabriel Danciu; Stefano Dalmiani; Serge Autexier; Rick van Nuland; Mario Jendrossek; et al. (MIE, 2024)

Current state of data stewardship tools in life science. - Anna Aksenova; Anoop Johny; Tim Adams; Philip Gribbon; Marc Jacobs 001; Martin Hofmann-Apitius (Frontiers Big Data, 2024)

Predicting Antimicrobial Class Specificity of Small Molecules Using Machine Learning. - Yojana Gadiya; Olga Genilloud; Ursula Bilitewski; Mark Brönstrup; Leonie von Berlin; Marie Attwood; Philip Gribbon; Andrea Zaliani (J. Chem. Inf. Model., 2025)