Susanna‐Assunta Sansone

The paper describes the development of a metadata federation system for NIH Common Fund data to improve discoverability without data movement.

The paper introduces a cloud-based platform called ORCESTRA for reproducible processing and sharing of multimodal biomedical data in a FAIR manner.

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.

COPO provides a metadata platform to enable FAIR data sharing in life sciences by standardizing metadata description and repository integration.

This paper presents standardization efforts for cell migration data to improve data sharing and analysis.

FAIRshake evaluates the FAIRness of research digital resources through community-driven metrics, automated assessments, and visualization tools, revealing opportunities for improvement.

The paper introduces a framework to evaluate FAIRness of digital resources through automated, community-governed maturity indicators and compliance tests.

The paper introduces a microservices-based framework for scalable data analysis, validated in metabolomics, enabling dynamic scaling and integration of software tools.

PhenoMeNal provides a cloud-based platform for metabolomics data analysis, integrating tools and workflows to enable reproducible and scalable research.

The paper introduces FAIRsharing, a community-driven resource that evaluates and promotes standards, databases, and repositories to improve data reuse and interoperability in research.

The paper introduces FAIR Evaluator, a tool to assess FAIRness of digital resources, and compares automated vs manual evaluations across repositories.

The paper outlines ten lessons for designing, provisioning, and reusing persistent identifiers to improve data integration in life sciences.

The paper introduces DATS, a metadata model for dataset discoverability, and describes its implementation for the DataMed data discovery index.

The paper describes BioSharing, a resource that catalogs metadata standards to enhance the FAIRness of scientific data and connects them to repositories and policies.

DataMed enhances data discoverability by creating a unified index of biomedical datasets across repositories, supporting FAIR principles for better knowledge discovery.

The paper introduces the Omics Discovery Index, a platform to search and link public omics datasets across different fields, addressing challenges in data organization and accessibility.

Galaxy workflows reproduced SOAPdenovo2 bacterial assembly results almost exactly, while ISA, Nanopublication and Research Object models exposed reporting errors leading to a published correction.