Author
University of OxfordORCID 0000-0001-9853-5668Unclaimed ORCID profile · follow to get notified of new preprints
Mutual co-authors in cluster
16 papers
Recent·Most cited
Sabrina Zander, Xiao-Ran Zhou, Angela Kranz…·Björn Usadel
elab2ARC converts ELN records into FAIR-compliant research objects, automating metadata extraction and structured data organization.
Amanda L. Charbonneau, Arthur Brady, Karl Czajkowski…·Owen R. White
The paper describes the development of a metadata federation system for NIH Common Fund data to improve discoverability without data movement.
David Johnson, Dominique Batista, Keeva Cochrane…·Philippe Rocca‐Serra
The paper introduces the ISA API, a Python library for handling ISA-Tab and ISA-JSON metadata formats, enabling programmatic manipulation and interoperability in life science experiments.
Felix Shaw, Anthony Etuk, Alice Minotto…·Robert Davey
COPO provides a metadata platform to enable FAIR data sharing in life sciences by standardizing metadata description and repository integration.
Alejandra N Gonzalez-Beltran, Paola Masuzzo, Christophe Ampè…·Lennart Martens
This paper presents standardization efforts for cell migration data to improve data sharing and analysis.
George Charles Alter, Alejandra N Gonzalez-Beltran, Lucila Ohno-machado A, Philippe Rocca‐Serra
The paper introduces metadata elements in the DATS schema to describe data access, use conditions, and consent for biomedical data reuse.
Mark D. Wilkinson, Michel Dumontier, Susanna‐Assunta Sansone…·Erik Schultes
The paper introduces a framework to evaluate FAIRness of digital resources through automated, community-governed maturity indicators and compliance tests.
Payam Emami Khoonsari, Pablo A Moreno, Sven Bergmann…·Ola Spjuth
The paper introduces a microservices-based framework for scalable data analysis, validated in metabolomics, enabling dynamic scaling and integration of software tools.
Pablo A Moreno, Luca Pireddu, Pierrick Roger…·Steffen Neumann
This paper integrates Galaxy with Kubernetes to enable scalable, cloud-agnostic bioinformatics workflows.
Kristian Peters, James Bradbury, Sven Bergmann…·Christoph Steinbeck
PhenoMeNal provides a cloud-based platform for metabolomics data analysis, integrating tools and workflows to enable reproducible and scalable research.
Susanna-Assunta Sansone, Peter McQuilton, Philippe Rocca-Serra…·And the FAIRsharing community (https://fairsharing.org/communities):
The paper introduces FAIRsharing, a community-driven resource that evaluates and promotes standards, databases, and repositories to improve data reuse and interoperability in research.
Julie A. McMurry, Nick Juty, Niklas Blomberg…·Helen Parkinson
The paper outlines ten lessons for designing, provisioning, and reusing persistent identifiers to improve data integration in life sciences.
Susanna‐Assunta Sansone, Alejandra N Gonzalez-Beltran, Philippe Rocca‐Serra…·bioCADDIE Working Groups Members
The paper introduces DATS, a metadata model for dataset discoverability, and describes its implementation for the DataMed data discovery index.
Susanna-Assunta Sansone, Alejandra Gonzalez-Beltran, Philippe Rocca-Serra…·Milo Thurston
The paper describes BioSharing, a resource that catalogs metadata standards to enhance the FAIRness of scientific data and connects them to repositories and policies.
Lucila Ohno-machado A, Susanna‐Assunta Sansone, George Charles Alter…·Hyeoneui Kim
DataMed enhances data discoverability by creating a unified index of biomedical datasets across repositories, supporting FAIR principles for better knowledge discovery.
Alejandra Gonzalez-Beltran, Peter Li, Jun Zhao…·Philippe Rocca-Serra
Galaxy workflows reproduced SOAPdenovo2 bacterial assembly results almost exactly, while ISA, Nanopublication and Research Object models exposed reporting errors leading to a published correction.