Research data discovery in OpenAIRE (Presentation by Paolo Manghi at DI4R2018)
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The document outlines the OpenAIRE initiative for building a comprehensive scholarly communication graph that interlinks various scientific products, open access information, and funding details. It discusses the methodologies for populating this graph, including content acquisition policies and metadata standards, along with challenges related to metadata quality and consistency. The report emphasizes the importance of effective metadata curation and interlinking for enhancing research discovery and collaboration across communities.
Research data discovery in OpenAIRE (Presentation by Paolo Manghi at DI4R2018)
- 1. @openaire_eu Research data discovery in OpenAIRE Paolo Manghi InstituteofInformationScienceandTechnologies -CNR
- 2. Populatingthe OpenAIRE scholarlycommunicationgraph Searching over the OpenAIRE graph OpenAIRE - EOSC Hub - EC meeting | Amsterdam | 15th Dec 2017
- 4. Research communities Researchers (All) Content providers Innovators Research managers Funders Building the graph and Dashboards OpenAIRE Dashboards Validation Cleaning De-duplication Inference Info Space Services Project communiity FunderFunding Result Publicatio n Data Software Organizatio n TERMS OF USE Harvesting Uploading Brokering Source ORP Publications repositories Data repositories CRIS systems Registries OA Journals Software repositories Content Providers Research Infras GUIDE LINES
- 5. OpenAIRE Data Model and Flows mining harvesting deposition Project community FunderFunding Result Publication Research Data Software Organization Source Other res. products
- 6. Building and maintaining an open metadata scholarly communication graph of interlinked scientific products, in turn linked to Open Access information, funding information and community views The OpenAIRE scholarly communication graph Complete De-duplicated Participatory Graph
- 7. ALL Literature, Research data, Software, Other research products • Respecting the OpenAIRE guidelines (DataCite metadata) • Using PIDs with resolvers Content Acquisition Policy
- 8. Harvesting: Revised Classification of Research Products Publications • Article • Preprint • Report • … Datasets • Dataset • Collection • Clinical Trials • … Software • Research Software • … Other Research Products • Service • Workflow • Interactive Resource • … Institutional/ publication repositories Journals/ publishers Data repositories Other Products repositories Software repositories
- 9. Content acquisition policy transition: from Oct 2018 to November 2018 2600000 2800000 3000000 3200000 3400000 3600000 Oct-18 Nov-18 Other research products 0 50000000 100000000 Oct-18 Nov-18 Literature 0 5000000 10000000 15000000 Oct-18 Nov-18 Research Data 0 20000 40000 60000 80000 Oct-18 Nov-18 Software 100+Mi 10+Mi 80+K 40Mi links
- 11. • Search, browse, claim, and interlink products • Navigation between interlinked objects Disovery of data in OpenAIRE OpenAIRE - EOSC Hub - EC meeting | Amsterdam | 15th Dec 2017
- 12. Search plans in OpenAIRE • Search datasets used in at least K papers Data maturity-driven search • Search for data in a community or used-cross-community Community-driven search • From dataset files or from related entities (publications, project) Search beyond dataset metadata
- 13. General challenges raised by experience • Scientists should take seriously metadata curation and interlinking with other scientific products • Systems should be prepared to include new metadata/link information to existing depositions, to reflec the ecolution of the domain Low quality metadata • Datasets have different descriptions, driven by the intended usage, which drive the possible searches Metadata citation Vs metadata for reuse within or across disciplines • Communities should leverage a granularity level adequate to the intended discovery Varying granularity among communities