This is the presentation from the Data Description Registry Interoperability Working Group at the Plenary 9 of Research Data Alliance.

1. Data Description Registry Interoperability
Working Group
Co-Chairs: Amir Aryani, Adrian Burton
and Brigitte Hausstein

2. 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

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

7. https://researchdata.ands.org.au/idmm-immunome-
database-for-marsupials-and-monotremes/11139

10. Show 105 more
publications

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

15. Toward an
Automated Solution

16. Research Data Switchboard
Toward automating the process

17. Using machines…

18. Exploring the graph…

19. Connecting Datasets by
Three Degrees of Separation

20. Adoptors

21. National Computational
Infrastructure
(NCI Australia)

22. 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

25. National Institute of
Informatics (NII Japan)

26. 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-

27. 13

28. 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

29. Australian National
Data Service (ANDS)

30. RD-Switchboard and integration
with Research Data Australia

31. 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

32. New Adoptors

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

36. Creating a distributed
graph

37. http://researchgraph.org/schema/

38. 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.

39. Connecting Infrastructures

40. Connecting Graphs
Publication
Publication
Publication
Researcher
Grants
Research
Data
Publication
Publication
Publication
Publication
Publication
Publication
Publication
Publication
Publication
Publication
Publication
Publication
Publication
Publication
Publication
Publication
Publication
Publication
Publication
Publication
Publication
Publication
Publication
Publication
Publication
Publication
Publication
Publication
Publication
Publication
Grants
Publication
Publication
Publication
Publication
Publication
Researcher
Publication
Publication
Publication
Publication
Publication
Publication
Publication
Publication
Publication
Publication
Publication
Publication
Publication
Publication
Publication
Publication
Publication
Publication
Publication
Publication
Publication
Publication
Publication
Publication
Publication
Publication
Publication
Publication
Publication
Publication
Publication
Publication
Publication
Publication
Publication
Publication
Publication
Publication
Publication
Publication
Publication
PublicationPublication
Publication
Publication
Publication
Publication
Research
Data
Research
Data
Publication
Publication
Research Data Researcher
PublicationGrant
Legend

41. Suppoting JSON-LD
and schema.org

43. 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/

44. 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