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    <title>Ward Langeraert</title>
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      <title>Orchestrating the b3verse: Elevating Research Software through a Modular R Package Ecosystem</title>
      <description>Poster useR! conference Warsaw 2026</description>
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      <content:encoded>Poster useR! conference Warsaw 2026</content:encoded>
      <pubDate>Thu, 02 Jul 2026 00:00:00 -0400</pubDate>
      <link>https://speakerdeck.com/wlangera/orchestrating-the-b3verse-elevating-research-software-through-a-modular-r-package-ecosystem</link>
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      <title>The b3verse: Research Software as a Reproducible Engine for Transnational Biodiversity Indicators</title>
      <description>The transition from raw monitoring data to actionable policy indicators must be transparent, reproducible, and scalable to effectively address the global biodiversity crisis. The B3 project (Biodiversity Building Blocks for Policy) demonstrates how research software can function as a first-class scientific output by developing the b3verse, a modular suite of twelve interconnected R packages that transform heterogeneous biodiversity data, such as GBIF occurrence records, into standardized occurrence cubes and policy-relevant indicators.
Built around a shared occurrence cube structure, the b3verse enables interoperability across taxa, regions, and monitoring schemes while preserving methodological flexibility. Standardized interfaces allow specialized packages to implement diverse indicator approaches, including general biodiversity indicators (b3gbi), phylogenetic diversity (pdindicatoR), and alien species impact (impIndicator), while producing comparable and harmonized outputs. Integrated uncertainty estimation and validation procedures ensure statistically robust and reproducible results.
Developed through collaboration across nine countries and twelve research institutes, the b3verse reflects interdisciplinary expertise spanning biodiversity science, ecological modelling, data engineering, and science-policy integration. A shared development guide defines standards for interfaces, testing, and documentation, ensuring consistent quality and long-term maintainability across packages. Distribution via R-Universe supports coordinated releases and straightforward adoption.
All releases and associated data snapshots are archived on Zenodo to provide stable, citable references beyond the project lifespan. Framed as reusable research infrastructure rather than a single analytical workflow, the b3verse strengthens transnational biodiversity monitoring through open and reproducible software and supports coordinated, evidence-based policy action.</description>
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      <content:encoded>The transition from raw monitoring data to actionable policy indicators must be transparent, reproducible, and scalable to effectively address the global biodiversity crisis. The B3 project (Biodiversity Building Blocks for Policy) demonstrates how research software can function as a first-class scientific output by developing the b3verse, a modular suite of twelve interconnected R packages that transform heterogeneous biodiversity data, such as GBIF occurrence records, into standardized occurrence cubes and policy-relevant indicators.
Built around a shared occurrence cube structure, the b3verse enables interoperability across taxa, regions, and monitoring schemes while preserving methodological flexibility. Standardized interfaces allow specialized packages to implement diverse indicator approaches, including general biodiversity indicators (b3gbi), phylogenetic diversity (pdindicatoR), and alien species impact (impIndicator), while producing comparable and harmonized outputs. Integrated uncertainty estimation and validation procedures ensure statistically robust and reproducible results.
Developed through collaboration across nine countries and twelve research institutes, the b3verse reflects interdisciplinary expertise spanning biodiversity science, ecological modelling, data engineering, and science-policy integration. A shared development guide defines standards for interfaces, testing, and documentation, ensuring consistent quality and long-term maintainability across packages. Distribution via R-Universe supports coordinated releases and straightforward adoption.
All releases and associated data snapshots are archived on Zenodo to provide stable, citable references beyond the project lifespan. Framed as reusable research infrastructure rather than a single analytical workflow, the b3verse strengthens transnational biodiversity monitoring through open and reproducible software and supports coordinated, evidence-based policy action.</content:encoded>
      <pubDate>Wed, 06 May 2026 00:00:00 -0400</pubDate>
      <link>https://speakerdeck.com/wlangera/the-b3verse-research-software-as-a-reproducible-engine-for-transnational-biodiversity-indicators</link>
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