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A Robust Discovery Platform for the Identification of Novel Mediators of Melanoma Metastasis

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The Translational Data Catalog - discoverable biomedical datasets.

Danielle Welter^1,2, Philippe Rocca-Serra^3,4, Valentin Grouès¹

¹Luxembourg Centre for Systems Biomedicine, ELIXIR Luxembourg, University of Luxembourg, L-4367, Belval, Luxembourg.

Scientific Data

|July 20, 2023

Summary

This summary is machine-generated.

Discovering biomedical datasets from collaborative projects is challenging. The Translational Data Catalog improves data findability using FAIR principles, enhancing machine accessibility for European research programs.

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Area of Science:

Biomedical research
Data science
Information management

Background:

Dataset discoverability in translational and biomedical research is often sporadic.
Pre-competitive project datasets face challenges due to data-sharing agreements and differing sector priorities.

Purpose of the Study:

To present the creation, content, value, and adoption of the Translational Data Catalog.
To establish a single discovery point for European Commission-funded research projects and datasets.
To ensure datasets are machine-findable and accessible.

Main Methods:

Building the Data Catalog on FAIR-enabling community standards.
Integrating projects from major European private-public partnership research programs.
Focusing on machine accessibility and findability.

Main Results:

The Translational Data Catalog provides a centralized discovery point for diverse datasets.
It addresses challenges in data sharing for pre-competitive research.
The catalog is built on FAIR principles, enhancing data accessibility.

Conclusions:

The Translational Data Catalog is a valuable resource for improving biomedical data discoverability.
Its foundation on FAIR principles ensures machine accessibility.
Sustainability within the ELIXIR ecosystem is a key next step.