Add incubator project

Author: tkuhn

assets/img/incubator4erik.jpg

@@ -192,6 +192,29 @@ <h3 id="incubator3">#3: Integrating DCAT-compliant nanopublications and EHDS-met
 
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+<section>
+
+<div class="portrait" id="incubator4erik">
+    <img src="assets/img/incubator4erik.jpg" alt="Erik Schultes" style="float: right; margin: 2em;"/>
+</div>
+
+<h3 id="incubator4">#4: FAIRification of mass spectrometry workflows using FDOs</h3>
+
+<p><em>by Erik Schultes, <a href="https://www.universiteitleiden.nl/en/science/drug-research/metabolomics-and-analytics-centre" target="_blank">Metabolomics and Analytics Centre (MAC)</a></em></p>
+
+<p>
+Mass spectrometry research confronts challenges endemic to data-intensive science:
+vendor-specific proprietary formats from multiple Mass Spectrometry instruments, complex multi-consortium governance, and the near-impossibility of tracking provenance across thousands of
+heterogeneous digital objects spanning clinical samples, instrument logs, processing workflows, and publications.
+Traditional approaches that retrofit FAIR principles onto existing repositories fail at scale and perpetuate the research integrity and reproducibility crises.
+This project addresses this systemic failure by implementing nanopublication-based FAIR Digital Objects (FDOs) as minimal, but precise metadata tags at the source,
+combining automated and human curated machine-actionable assertions that establish unambiguous provenance chains before data enters any workflow.
+This source-level FAIRification demonstrates that trusted AI in biomedicine requires fundamentally reliable data infrastructure
+where agentic AI can automatically assess the quality, context, and trustworthiness of every datum from its moment of creation. 
+</p>
+
+</section>
+
 <section>
 </section>