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Using the Research Graph and Data Switchboard for cross-platform discovery
- 1. Using the Research Graph and Data Switchboard for cross-platform discovery DDRI Working Group Dr. Amir Aryani Project Manager, Australian National Data Service (ANDS), http://ands.org.au at Australian National University (ANU), http://people.anu.edu.au/amir.aryani Co-chair of DDRI working group, Research Data Alliance, http://rd-alliance.org email: amir.aryani@ands.org.au, twitter.com/amir_at_ands http://orcid.org/0000-0002-4259-9774 This presentation on "Creating a Distributed Graph using RD-Switchboard" by Dr. Amir Aryani is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License (http://creativecommons.org/licenses/by-sa/4.0/).
- 2. Agenda • Background and Introduction • Challenge of cross-platform discovery, • DDRI WG outcome and Implemntation • Adopters • New Developments • Distributed research graph • JSON-LD
- 3. Background Challenge of cross-platform discovery
- 4. {All started here!} Research Data Australia Suggested Links March 2014, Version 12
- 5. Data Description Registry Interoperability (DDRI) Working Group Research Data Alliance Goal: enabling cross-platform discovery between research data infrastructures
- 6. DDRI WG Approach Connecting datasets on the basis of co-authorship or other collaboration models such as joint funding and grants. Research Data Alliance
- 11. http://dx.doi.org/10.1371/journal.pone.0079092 One of the 105 articles …
- 13. doi:10.5061/dryad.4qq0v Authors: Wong ESW, Nichol S, Warren WC, Belov K Dryad Dataset http://datadryad.org/resource/doi:10.5061/dryad.4qq0v
- 14. We have found another dataset from the same author… Dataset Researcher Publication Dataset
- 16. Research Data Switchboard Toward automating the process
- 17. Using machines…
- 20. Connecting Datasets by Three Degrees of Separation
- 21. Adoptors
- 23. nci.org.au nci.org.au @NCInews 15#February##2015# NCI#Overview## # nci.org.au @NCInews Mission: World-class, high-end computing services for Australian research and innovation What is NCI: • Australia’s most highly integrated e-infrastructure environment • Petascale supercomputer + highest performance research cloud + highest performance storage in the southern hemisphere • Comprehensive & integrated expert service — internat. vanguard • National/internationally renowned support team NCI is national and strategic: • Driven by national research priorities and excellence • Engaged with research institutions/collaborations and industry • A capability beyond the capacity of any single institution • Sustained by a collaboration of agencies/universities ($11+M p.a.) NCI is important to Australia because it: • Enables research that otherwise would be impossible • Enables delivery of world-class science • Enables interrogation of big data, otherwise impossible • Enables high-impact research that matters; informs public policy • Attracts and retains world-class researchers for Australia • Catalyses development of young researchers’ skills Research(Outcomes( Communi1es(and(( Ins1tu1ons/( Access(and(Services( Exper1se(Support(( and(( Development( HPC(Services( Virtual(Laboratories/( DataBintensive(Services(( ( Integra1on( Compute((HPC/Cloud)(( Storage/Network( Infrastructure( ResearchObjectives
- 26. National Institute of Informatics (NII Japan)
- 27. 3 Academic SocietyAcademic SocietyAcademic Society ReaD (JST) Google Scholar Official reports of Grants-in-aid For scientific research 0.7 million reports KAKEN Resolving and linking service for researchers' names 0.15 million researchers Researcher Name Resolver NII-ELS Refereed and Un-refereed articles from societies or bulletins 3.9 million articles Electronic journal repositories for universities 3.5 million articles NII-REO Book Catalogs 120 million +α records Comprehensive metadata harvester for Japanese Irs 2 million articles JAIRO indexing service for academic papers 19 million records CiNii Institutional Repository Institutional Repository Institutional Repository Institutional Repository Institutional Repository University Researcher Database Institutional Repository Institutional Repository Institutional Repository Institutional Repository Institutional Repository University Researcher Database University Researcher Database University Researcher Database University Researcher Database University Researcher Database Scholarly information services in NII Universities and Institutes Other Services Information on Researchers Information on Papers (650 organizations) (43 organizations) University Library University Library University Library University Library University Library University Library University Library University Library University Library University LibraryInformation on Books J-Stage (JST) NDL Informatics Square Society support with publishing and communication in Informatics area Powered by OLCer Springer CrossRef Projects Books NACSIS CAT People WebcatPlus Researchers profiles and SNS ResearchMap Papers 3 May, 2008-October, 2008-
- 28. 13
- 29. 14 14 Academic SocietyAcademic SocietyAcademic Society ReaD (JST) Google Scholar Book Catalogs 108 million +α records Institutional Repository Institutional Repository Institutional Repository Institutional Repository Institutional Repository University Researcher Database Institutional Repository Institutional Repository Institutional Repository Institutional Repository Institutional Repository University Researcher Database University Researcher Database University Researcher Database University Researcher Database University Researcher Database Scholarly information services in NII Universities and Institutes Other Services Information on Researchers Information on Papers (130 organizations) (43 organizations) University Library University Library University Library University Library University Library University Library University Library University Library University Library University LibraryInformation on Books J-Stage (JST) NDL Official reports of Grants-in-aid For scientific research 0.61 million reports KAKEN Resolving and linking service for researchers' names 0.15 million researchers Researcher Name Resolver NII-ELS Refereed and Un-refereed articles from societies or bulletins 3.4 million articles Electronic journal repositories for universities 3.5 million articles NII-REO Comprehensive metadata harvester for Japanese IRs 0.5 million articles JAIRO indexing service for academic papers 12 million records CiNii Informatics Square Society support with publishing and communication in Informatics area Powered by OLCer Springer CrossRef Projects Books NACSIS CAT People WebcatPlus R&D Center for Scientific Information Resources Scholarly and Academic Information Division Researchers profiles and SNS ResearchMap Papers
- 30. Australian National Data Service (ANDS)
- 31. RD-Switchboard and integration with Research Data Australia
- 32. As Australia’s first university our reputation spans more than 160 years. In 2014, we were ranked in the top 0.3% of universities worldwide. Across 16 Faculties we taught more than 33,000 undergraduate and 19,000 postgraduate students, including 10,800 international students from more than 145 countries. The Australian Federal Government’s Excellence in Research for Australia (ERA) initiative rated our research at “above and well above world standard across 21 (of 22) broad discipline areas. These disciplines include earth sciences, agricultural and veterinary sciences, mathematical sciences, engineering, biomedical and clinical health sciences, psychology and cognitive sciences, law and legal studies, language and communication, history and archaeology, and philosophy and religious studies. The University of Sydney Early Adopter
- 33. LOD Research Graph GESIS – Leibniz-Institute for the Social Sciences is the largest infrastructure institution for the Social Sciences in Germany. With da|ra, GESIS provides access to the data referencing system for social science research data. • Purpose: • Making connections between high-value collections (research datasets) and other scholarly works such as publications and grants discoverable in Europe • Goals: • Research graph that holds the connections between datasets, publications and grant information from European and Australian research institutions • Software service that makes the graph accessible to third party software systems, data repositories and infrastructure providers • Integration of the graph in the ResearchGraph.org website with results accessible using Linked Open Data and JSON-LD • Challenges: • Research an efficient way to link to GRID and organization Graph • Research an efficient way to link to vocabulary Graph • Access to new data sources
- 34. © 2017, RMIT University© 2017, RMIT UniversityThe eResearch Office RMIT is a global university of technology, design and enterprise. One of Australia's original tertiary institutions, RMIT University enjoys an international reputation for excellence in professional and vocational education, applied research, and engagement with the needs of industry and the community. RMIT is a world leader in Art and Design; Architecture; Education; Engineering; Development; Computer Science and Information Systems; Business and Management; and Communication and Media Studies. A pilot project with Research Graph Deliverables: • identification of differences between data derived from Graph and RM. • identification of “important" data that is not in RM that can be derived from the larger Graph. • document opportunities to improve the larger Graph from RMIT University’s data, and vice-versa. Purpose: • compare the data from Graph with data from RMIT University’s Research Master (RM) system. • evaluate the technical aspect, such as: ease of configuration, deployment, usability, etc. • identify the “value add” to existing institutional data through integration with the larger Graph. • prepare the groundwork for a larger project which will deploy Graph into a production environment. Goal: • create a set of RMIT records that contain Researcher, Publication, Research data and Grants models from the Graph schema. These records would include data about a small number of top-performing researchers at RMIT University. RMIT University
- 35. New Developments
- 37. Two main challenges • Connecting • Open data infrastrcutures to • Close Research Management systems • Reducing the cost and techinical requitement for implementing the Switchboard and creating connected research graphs.
- 45. Further information • Collaborators: http://researchgraph.org/collaborators/ • Publications: http://researchgraph.org/collaborators/publications • Technology: • https://github.com/researchgraph • https://github.com/rd-switchboard • http://researchgraph.org/schema/ To get involved in this project please contact amir.aryani@ands.org.au