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

1. Tracking Research Data Footprints via
Integration with Research Graph
Ben Evans and Jingbo Wang
ANDS Nectar RDS webinar 1 Mar 2018

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. 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. 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. 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. nci.org.au© National Computational
Infrastructure 2018
Profile of the Author: Dr. Peter Oke

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. 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. 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. nci.org.au© National Computational
Infrastructure 2018
NCI Original Graph NCI Augmented Graph

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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. 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. nci.org.au© National Computational
Infrastructure 2018
Open Graph
www.ResearchGraph.org/NCI

14. nci.org.au© National Computational
Infrastructure 2018
Research Graph Live Demo
www.ResearchGraph.org/NCI

15. nci.org.au© National Computational
Infrastructure 2018
Most Connected Researchers
www.ResearchGraph.org/NCI

16. nci.org.au© National Computational
Infrastructure 2018
Trend of publications
www.ResearchGraph.org/NCI

17. nci.org.au© National Computational
Infrastructure 2018
Analytics are supported by Jupyter Notebook

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. 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. 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. nci.org.au© National Computational
Infrastructure 2018
● NCI Graph: http://researchgraph.org/nci
● GitHub: http://github.com/researchgraph
● Twitter: @researchgraph
How to learn more?