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Tracking research data footprints - slides

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Slides from March1st 2018 webinar
Tracking research data footprints via integration with Research Graph
Presented by Ben Evans and Jingbo Wang from NCI

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Tracking research data footprints - slides

  1. 1. Tracking Research Data Footprints via Integration with Research Graph Ben Evans and Jingbo Wang ANDS Nectar RDS webinar 1 Mar 2018
  2. 2. nci.org.au© National Computational Infrastructure 2018 Open questions ❖ How do we connect NCI research datasets with the global network of research communication? ❖ How could we help track the impact of investment in research data and the derived research outcome?
  3. 3. nci.org.au© National Computational Infrastructure 2018 RDA Data Description Registry Interoperability (DDRI) Working Group Goal: Enabling cross-platform discovery between research data infrastructures https://www.rd-alliance.org/groups/data-description-registry-interoperability.html ● DDRI recommendation -- interoperability model -- now is approved by European Commission as an ICT Specification.
  4. 4. nci.org.au© National Computational Infrastructure 2018 Four node types: 1. Researcher 2. Dataset 3. Publication 4. Grant Simple and easy to integrate with other repository metadata standards. e.g., ● ISO19115 ● RIF-CS ● MARC-21
  5. 5. nci.org.au© National Computational Infrastructure 2018 NCI makes available some major national reference datasets. It is organised at NCI for high performance compute & data analysis. NCI’s collection of national reference datasets
  6. 6. nci.org.au© National Computational Infrastructure 2018 Profile of the Author: Dr. Peter Oke
  7. 7. nci.org.au© National Computational Infrastructure 2018 BLUElink Re-analysis dataset: Ocean Reanalysis over last 15 years (1992-2006) with focus on Asian-Australian Region Example of a dataset connection with publications from ORCID through authorship The dataset record at NCI with a connection with researcher Dr. Peter Oke.Question: what researchers are working on related datasets, publications and funded projects? BRAN dataset Peter Oke
  8. 8. nci.org.au© National Computational Infrastructure 2018 Working toward publishing open access graph 1. NCI Original Record: Dr. Peter Oke record and connected datasets in NCI GeoNetwork catalogue. 2. Augmented Graph: Research Graph provides the link to the related ORCID profile. 3. External Records: ORCID records and all publications are linked to the NCI graph.
  9. 9. nci.org.au© National Computational Infrastructure 2018 1. ETL: Transform GeoNetwork repository to a Neo4j Graph DB 2. Augment: Use Research Graph Service (in amazon cloud) to augment the NCI graph with ORCID and other repositories. 3. Visualisation: Creating optimised GraphML from the Augmented Neo4j
  10. 10. nci.org.au© National Computational Infrastructure 2018 NCI Original Graph NCI Augmented Graph
  11. 11. nci.org.au© National Computational Infrastructure 2018 Interoperability with following services ● ORCID ● DataCite ● CrossRef Event Data ● Scholix (Publishers) ● NCI ● GESIS ● Research Data Australia ● ARC, NHMRC, NIH ● Dryad, ● CERN, ● figshare, ● GRID (Digital Science) ● …
  12. 12. nci.org.au© National Computational Infrastructure 2018 Research Graph automated building pipeline https://github.com/researchgraph/NCI NCI’s metadata database Datasets Publications Researchers Relations (CSV, XML, JSON) Jenkins CI Server Two steps: Build NCI graph Augment with other database NCI.GraphML Run the process with click of a button!
  13. 13. nci.org.au© National Computational Infrastructure 2018 Open Graph www.ResearchGraph.org/NCI
  14. 14. nci.org.au© National Computational Infrastructure 2018 Research Graph Live Demo www.ResearchGraph.org/NCI
  15. 15. nci.org.au© National Computational Infrastructure 2018 Most Connected Researchers www.ResearchGraph.org/NCI
  16. 16. nci.org.au© National Computational Infrastructure 2018 Trend of publications www.ResearchGraph.org/NCI
  17. 17. nci.org.au© National Computational Infrastructure 2018 Analytics are supported by Jupyter Notebook
  18. 18. nci.org.au© National Computational Infrastructure 2018 Next: Improve Research Graph using open linked data APIs NCI’s Research Graph NCI’s Research Graph Export in JSON Convert to JSON-LD Use Schema.org to enhance semantic feature of the research graph JSON-LD (ref: Jingbo Wang, Amir Aryani, Lesley Wyborn and Ben Evans, Providing Research Graph Data in JSON-LD using Schema.org. 2017. International World Wide Web Conference, ISBN: 978-1-4503-4914-7) To improve data discoverability we aim to support JSON-LD and Schema.org. The main advantage of an improved API is to provide added value to NCI researchers by making their graph data accessible (and hence their data more discoverable) to third-party services.
  19. 19. nci.org.au© National Computational Infrastructure 2018 Future opportunities Research graph provides more information to understand the impact of dataset ● Exploring new ways of analysing the information in the Research Graph ● Capturing the cross-disciplinary use and collaboration
  20. 20. nci.org.au© National Computational Infrastructure 2018 What Research Graph means for us? For users: understand the dynamic research integration through the graph analysis For agency board/executives: demonstrate the value added to the research community through our data management and interoperability of data services For funding body: demonstrate the impact of the research datasets within the research impact measurement matrix
  21. 21. nci.org.au© National Computational Infrastructure 2018 ● NCI Graph: http://researchgraph.org/nci ● GitHub: http://github.com/researchgraph ● Twitter: @researchgraph How to learn more?

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