Embedding RRIDs Across the Research Lifecycle: From Preprints to Published Articles

Do you want to ensure that persistent identifiers are not just assigned, but actually used across the research lifecycle?In this session, you will see how automated Key Resource Tables embed RRIDs directly into preprints and how these identifiers propagate into platforms like Europe PMC and evolve in journal articles.You will discover how RRIDs are detected, suggested, and structured at the preprint stage, and how they change - or persist - between preprints and published versions. This reveals how early PID integration influences downstream data quality, discoverability, and reuse. Do you struggle to identify which antibodies, cell lines, or tools were actually used in a study, and whether that information survives into the final publication?In this session, you will discover how persistent identifiers can be embedded early in the research lifecycle and tracked across versions of record. You will see how automated Key Resource Tables (KRTs) integrate with bioRxiv to detect research resources in preprints and link them to Research Resource Identifiers (RRIDs). When identifiers are missing, authors receive suggestions, lowering the barrier to adoption while improving reporting quality. The result is a structured, machine-readable representation of key resources at the earliest stage of dissemination. You will also learn how these identifiers propagate beyond preprints. RRIDs extracted from bioRxiv are now available at the article level in Europe PMC, demonstrating how early-stage PID integration contributes to discovery and interoperability across platforms. Going a step further, you will explore how RRIDs behave across the transition from preprint to journal article. By comparing versions of the same work, you will see where identifiers are preserved, added, or lost - offering new insight into how editorial processes, author behavior, and tooling influence PID quality over time.In this session, you will: Learn how RRIDs can be embedded automatically into preprint workflows Understand how structured resource tables improve reproducibility and machine-readability See how identifiers propagate into Europe PMC and the broader PID ecosystem Explore how RRIDs evolve between preprints and published articles Based on analyses of thousands of preprints and linked journal articles, you will gain practical insight into how to improve PID adoption and persistence across the research lifecycle. All code and extracted data are openly available (MIT and CC0), supporting reuse and integration across the PID community.