research data alliance plenary 9: ddri working group session
TRANSCRIPT
Data Description Registry Interoperability Working Group
Co-Chairs: Amir Aryani, Adrian Burton and Brigitte Hausstein
Agenda• Background and Introduction
• Challenge of cross-platform discovery, DDRI WG outcome and Implemntation (Switchboard)
• Adopters
• New Developments
• Distributed research graph
• JSON-LD
• Open Issues: Connecting to organisation and control vocabulalries graphs
Data Description Registry Interoperability (DDRI) Working Group
Research Data Alliance
Goal: enabling cross-platform discovery between research data infrastructures
DDRI WG Approach
Connecting datasets on the basis of co-authorship or other collaboration models such as joint funding and grants.
Research Data Alliance
https://researchdata.ands.org.au/idmm-immunome-database-for-marsupials-and-monotremes/11139
http://dx.doi.org/10.1371/journal.pone.0079092
One of the 105 articles …
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
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(
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Academic SocietyAcademic
SocietyAcademic Society
ReaD(JST) Google
Scholar
Official reports of Grants-in-aidFor scientific
research0.7 million reports
KAKEN
Resolving and linking service for
researchers' names0.15 millionresearchers
ResearcherName
ResolverNII-ELS
Refereed andUn-refereed articles from
societies or bulletins3.9 million articles
Electronic journal repositories for
universities3.5 million articles
NII-REO
Book Catalogs120 million +α
records
Comprehensivemetadata
harvester for Japanese Irs
2 million articles
JAIRO
indexing servicefor academic papers
19 million records
CiNii
InstitutionalRepositoryInstitutional
RepositoryInstitutionalRepositoryInstitutional
RepositoryInstitutionalRepository
UniversityResearcherDatabaseInstitutional
RepositoryInstitutionalRepositoryInstitutional
RepositoryInstitutionalRepositoryInstitutional
Repository
UniversityResearcherDatabase
UniversityResearcherDatabase
UniversityResearcherDatabase
UniversityResearcherDatabase
UniversityResearcherDatabase
Scholarly information services in NII
Universities and Institutes
Other Services
Information on ResearchersInformation on Papers
(650 organizations)(43 organizations)
UniversityLibraryUniversity
LibraryUniversityLibraryUniversity
LibraryUniversityLibraryUniversity
LibraryUniversityLibraryUniversity
LibraryUniversityLibraryUniversity
LibraryInformation on Books
J-Stage(JST) NDL
InformaticsSquare
Society support with publishing and communication in
Informatics areaPowered by
OLCerSpringer
CrossRef
Projects Books
NACSIS CAT
People
WebcatPlus
Researchers profiles and SNS
ResearchMap
Papers
3
May, 2008-October, 2008-
14
14
Academic SocietyAcademic
SocietyAcademic Society
ReaD(JST) Google
Scholar
Book Catalogs108 million +α
records
InstitutionalRepositoryInstitutional
RepositoryInstitutionalRepositoryInstitutional
RepositoryInstitutionalRepository
UniversityResearcherDatabaseInstitutional
RepositoryInstitutionalRepositoryInstitutional
RepositoryInstitutionalRepositoryInstitutional
Repository
UniversityResearcherDatabase
UniversityResearcherDatabase
UniversityResearcherDatabase
UniversityResearcherDatabase
UniversityResearcherDatabase
Scholarly information services in NII
Universities and Institutes
Other Services
Information on ResearchersInformation on Papers
(130 organizations)(43 organizations)
UniversityLibraryUniversity
LibraryUniversityLibraryUniversity
LibraryUniversityLibraryUniversity
LibraryUniversityLibraryUniversity
LibraryUniversityLibraryUniversity
LibraryInformation on Books
J-Stage(JST) NDL
Official reports of Grants-in-aidFor scientific
research0.61 million reports
KAKEN
Resolving and linking service for
researchers' names0.15 millionresearchers
ResearcherName
ResolverNII-ELS
Refereed andUn-refereed articles from
societies or bulletins3.4 million articles
Electronic journal repositories for
universities3.5 million articles
NII-REO
Comprehensivemetadata
harvester for Japanese IRs
0.5 million articles
JAIRO
indexing servicefor academic papers
12 million records
CiNii
InformaticsSquare
Society support with publishing and communication in
Informatics areaPowered by
OLCerSpringer
CrossRef
Projects Books
NACSIS CAT
People
WebcatPlus
R&D Center for Scientific Information ResourcesScholarly and Academic Information Division
Researchers profiles and SNS
ResearchMap
Papers
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
LOD Research GraphGESIS – 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
© 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
Distributed Graph• Connecting
• Open data infrastrcutures to
• Close Research Management systems
• Reducing the cost and techinical requitement for implementing the Switchboard and creating connected research graphs.
Connecting Graphs
Publication
Publication
Publication
Researcher
Grants
ResearchData
Publication
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Grants
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Researcher
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PublicationPublication
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Research Data
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Publication
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Research Data Researcher
PublicationGrant
Legend
Open issues / connecting the graph to
• field of research codes e.g. ANZSRC FOR https://vocabs.ands.org.au/anzsrc-seo
• research oganisations information e.g. GRID database https://grid.ac/
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 [email protected]