Orateur
Description
This session will introduce BIO-CODES, an OSCARS-funded project exploring the use of content-based identifiers to enhance the AI-readiness of bioimaging data.
Unlike conventional PID systems, content-based identifiers are derived from the data itself, offering complementary approaches to data identification, traceability and integrity. The presentation will discuss how these approaches can work alongside established PID solutions, their potential benefits for provenance and reproducibility, and the opportunities and challenges they raise in data-intensive research environments.
Project: BIO-CODES – Enhancing AI-Readiness of Bioimaging Data with Content-Based Identifiers
https://oscars-project.eu/projects/bio-codes-enhancing-ai-readiness-bioimaging-data-content-based-identifiers
https://www.linkedin.com/in/sylvia-le-d%C3%A9v%C3%A9dec-a4b743a/
Key points:
- Content-based identifiers for bioimaging data
- Complementarity with established PID approaches
- Provenance, integrity and AI-readiness