https://w3id.org/np/RA8ww_wRcQDKXPMPPTxlbeEuO5rAcpZt1-ibelsx4pc54/Head https://w3id.org/np/RA8ww_wRcQDKXPMPPTxlbeEuO5rAcpZt1-ibelsx4pc54 http://www.nanopub.org/nschema#hasAssertion https://w3id.org/np/RA8ww_wRcQDKXPMPPTxlbeEuO5rAcpZt1-ibelsx4pc54/assertion https://w3id.org/np/RA8ww_wRcQDKXPMPPTxlbeEuO5rAcpZt1-ibelsx4pc54 http://www.nanopub.org/nschema#hasProvenance https://w3id.org/np/RA8ww_wRcQDKXPMPPTxlbeEuO5rAcpZt1-ibelsx4pc54/provenance https://w3id.org/np/RA8ww_wRcQDKXPMPPTxlbeEuO5rAcpZt1-ibelsx4pc54 http://www.nanopub.org/nschema#hasPublicationInfo https://w3id.org/np/RA8ww_wRcQDKXPMPPTxlbeEuO5rAcpZt1-ibelsx4pc54/pubinfo https://w3id.org/np/RA8ww_wRcQDKXPMPPTxlbeEuO5rAcpZt1-ibelsx4pc54 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://www.nanopub.org/nschema#Nanopublication https://w3id.org/np/RA8ww_wRcQDKXPMPPTxlbeEuO5rAcpZt1-ibelsx4pc54/assertion https://w3id.org/spaces/knowledgepixels/incubator/project4 http://purl.org/dc/terms/description 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. 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