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11,068 Data sources

  • Disciplinary long-term archive for climate and earth system science data

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  • This site provides access to the research output of the institution. The interface is available in English.

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    visibilityviews103,607
    downloaddownloads910,120
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  • OpenBiodiv utilizes semantic publishing workflows, text mining, common standards, ontology modelling and graph database technologies to establish a robust infrastructure for creating and managing a Biodiversity Knowledge Graph. OpenBiodiv encompasses data extracted from full-text article XMLs published by Pensoft and taxonomic treatments extracted by Plazi from journals of other publishers. The data from both sources are converted to RDF and are integrated in a graph database which contains the OpenBiodiv-O ontology and a RDF version of the GBIF taxonomic backbone. OpenBiodiv provides the following services: XML-to-RDF conversion workflow and software for JATS TaxPub XML versions of journal articles RDF conversion of taxonomic hierarchies in CSV (example: GBIF taxonomic backbone) A triple store of close to one billion triples of facts and metadata extracted from literature SPARQL endpoint, accessible for regular queries and federated queries with other domain-specific or generic endpoints Predefined SPARQL queries reflecting different research questions. Within BiCIKL, OpenBiodiv will be developed to provide a LOD version of data liberated from the literature to make them interoperable with other data infrastructures throughout the biodiversity data life cycle.

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  • The Yale University Open Data Access (YODA) Project at the Center for Outcomes Research and Evaluation advocates for the responsible sharing of clinical research data. The Project is committed to open science and data transparency, and supports research attempting to produce concrete benefits to patients, the medical community, and society as a whole. Through experience and input from the public and stakeholders, the YODA Project has iteratively developed a model to make data available to researchers in a sustainable way, in which data sharing becomes a part of the clinical research enterprise of the future. The mission of the YODA Project is to not only increase access to clinical research data, but to promote its use to generate new knowledge.

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search
11,068 Data sources
  • Disciplinary long-term archive for climate and earth system science data

    more_vert
  • This site provides access to the research output of the institution. The interface is available in English.

    visibility104K
    visibilityviews103,607
    downloaddownloads910,120
    Powered by Usage counts
    more_vert
  • more_vert
  • more_vert
  • more_vert
  • OpenBiodiv utilizes semantic publishing workflows, text mining, common standards, ontology modelling and graph database technologies to establish a robust infrastructure for creating and managing a Biodiversity Knowledge Graph. OpenBiodiv encompasses data extracted from full-text article XMLs published by Pensoft and taxonomic treatments extracted by Plazi from journals of other publishers. The data from both sources are converted to RDF and are integrated in a graph database which contains the OpenBiodiv-O ontology and a RDF version of the GBIF taxonomic backbone. OpenBiodiv provides the following services: XML-to-RDF conversion workflow and software for JATS TaxPub XML versions of journal articles RDF conversion of taxonomic hierarchies in CSV (example: GBIF taxonomic backbone) A triple store of close to one billion triples of facts and metadata extracted from literature SPARQL endpoint, accessible for regular queries and federated queries with other domain-specific or generic endpoints Predefined SPARQL queries reflecting different research questions. Within BiCIKL, OpenBiodiv will be developed to provide a LOD version of data liberated from the literature to make them interoperable with other data infrastructures throughout the biodiversity data life cycle.

    more_vert
  • more_vert
  • more_vert
  • more_vert
  • The Yale University Open Data Access (YODA) Project at the Center for Outcomes Research and Evaluation advocates for the responsible sharing of clinical research data. The Project is committed to open science and data transparency, and supports research attempting to produce concrete benefits to patients, the medical community, and society as a whole. Through experience and input from the public and stakeholders, the YODA Project has iteratively developed a model to make data available to researchers in a sustainable way, in which data sharing becomes a part of the clinical research enterprise of the future. The mission of the YODA Project is to not only increase access to clinical research data, but to promote its use to generate new knowledge.

    more_vert