SlideShare a Scribd company logo
1 of 16
Download to read offline
Research Graph: Connecting
Identifiers across Research
Data Infrastructures
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/).
Agenda
● Challenge of cross-platform discovery
● Research Data Alliance working groups
● Example of Research Graph connections and Neo4j queries
● Impact of identifiers on connections
Challenge of cross-platform discovery
http://dx.doi.org/10.4225/35/563159f223739
http://research-data.westernsydney.edu.au/redbox/default/detail/5e1218b3e9b4c22da5ba32663a79c054
Question: What other researchers or research
activities are connected to this work?”
● What other related datasets has been published by the authors?
● What are the related publications to this dataset?
● What is the research portfolio of the authors related to this work?
● What research projects are related to this dataset?
researchgraph.org/schema/
Research Data Alliance Working Groups
Data Description Registry Interoperability (DDRI) WG
Goal: Enabling Cross-platform Discovery
between research data infrastructures
https://www.rd-alliance.org/groups/data-description-registry-interoperability.html
Building Research Graph using Switchboard
RDA/WDS Scholarly Link Exchange (Scholix) WG
https://www.rd-alliance.org/groups/rdawds-scholarly-link-exchange-scholix-wg
Role of identifiers
● (D:Datacite:Dataset)--(P:CrossRef:Publication)
○ (doi) -- (doi)
● (D:Datacite:Dataset)--(P:CERN:Publication)
○ (doi) -- (doi)
● (D:Datacite:Dataset)--(R:CERN:Researcher) -- (P:CERN:Publication)
○ (doi) -- (inspireHepID) -- (doi)
● (D:DRYAD:Dataset)--(R:ORCID:Researcher)--(P:CERN:Publication)
○ (doi) -- (orcid) -- (doi)
● (g:ANDS:Grant)--(R:ANDS:Dataset)--(R:ORCID:Researcher)
○ (purl) -- (doi) -- (orcid)
Using Neo4j and RD-Switchboard
● match (n:dataset) where n.doi='10.4225/35/563159f223739' return n
● match (n:dataset)--(r:researcher) where n.doi='10.4225/35/563159f223739'
return r.first_name, r.last_name
● match (r:orcid:researcher) where r.first_name='David' and
r.last_name='Ellsworth' return r.orcid
Find all the publications by 3 degrees of separation
● match (n:dataset)-[*1..3]-(p:publication) where
n.doi='10.4225/35/563159f223739' return n.title limit 50
Impact of identifiers
Impact of identifiers: DOI
Case A: match (d:dataset)--(m) where not exists(d.doi) return count(distinct(d))
Case B: match (d:dataset)--(m) where exists(d.doi) return count(distinct(d))
Impact of identifiers: ORCID
Case A: match (r:researcher)--(m) where not exists(r.orcid) return count(distinct(r))
Case B: match (r:researcher)--(m) where exists(r.orcid) return count(distinct(r))
Summary
● President Identifiers has a crucial role in enabling connections in Research
Graph and enabling functionality of the Switchboard platform.
● Research Graph distributed graph currently more than ten million nodes from
CERN, Dryad, ORCID, figshare, ANDS, NII Japan, and a number of other
international partners. This data can be used for research in collaboration
networks.
● The Research Graph is an open collaborative project. If you are interested to
work with the project partners, please
○ Join DDRI Working Group:
https://www.rd-alliance.org/groups/data-description-registry-interoperability.html
○ and contact amir.aryani@ands.org.au
● More information:
○ http://researchgraph.org/
○ https://github.com/researchgraph
○ https://twitter.com/researchgraph

More Related Content

What's hot

Other things you can do with ORCID
Other things you can do with ORCIDOther things you can do with ORCID
Other things you can do with ORCIDJisc
 
Analyzing Extended and Scientific Metadata for Scalable Index Designs
Analyzing Extended and Scientific Metadata for Scalable Index DesignsAnalyzing Extended and Scientific Metadata for Scalable Index Designs
Analyzing Extended and Scientific Metadata for Scalable Index DesignsAleatha Parker-Wood
 
Approximating Numeric Role Fillers via Predictive Clustering Trees for Know...
Approximating Numeric Role Fillers via Predictive Clustering Trees  for  Know...Approximating Numeric Role Fillers via Predictive Clustering Trees  for  Know...
Approximating Numeric Role Fillers via Predictive Clustering Trees for Know...Giuseppe Rizzo
 
Coordinated identifier infrastructure enabling Geoscience researchers to meet...
Coordinated identifier infrastructure enabling Geoscience researchers to meet...Coordinated identifier infrastructure enabling Geoscience researchers to meet...
Coordinated identifier infrastructure enabling Geoscience researchers to meet...ARDC
 
DataCite at APE 2011
DataCite at APE 2011DataCite at APE 2011
DataCite at APE 2011datacite
 
An evaluation of taxonomic name finding & next steps in Biodiversity Heritage...
An evaluation of taxonomic name finding & next steps in Biodiversity Heritage...An evaluation of taxonomic name finding & next steps in Biodiversity Heritage...
An evaluation of taxonomic name finding & next steps in Biodiversity Heritage...Chris Freeland
 

What's hot (6)

Other things you can do with ORCID
Other things you can do with ORCIDOther things you can do with ORCID
Other things you can do with ORCID
 
Analyzing Extended and Scientific Metadata for Scalable Index Designs
Analyzing Extended and Scientific Metadata for Scalable Index DesignsAnalyzing Extended and Scientific Metadata for Scalable Index Designs
Analyzing Extended and Scientific Metadata for Scalable Index Designs
 
Approximating Numeric Role Fillers via Predictive Clustering Trees for Know...
Approximating Numeric Role Fillers via Predictive Clustering Trees  for  Know...Approximating Numeric Role Fillers via Predictive Clustering Trees  for  Know...
Approximating Numeric Role Fillers via Predictive Clustering Trees for Know...
 
Coordinated identifier infrastructure enabling Geoscience researchers to meet...
Coordinated identifier infrastructure enabling Geoscience researchers to meet...Coordinated identifier infrastructure enabling Geoscience researchers to meet...
Coordinated identifier infrastructure enabling Geoscience researchers to meet...
 
DataCite at APE 2011
DataCite at APE 2011DataCite at APE 2011
DataCite at APE 2011
 
An evaluation of taxonomic name finding & next steps in Biodiversity Heritage...
An evaluation of taxonomic name finding & next steps in Biodiversity Heritage...An evaluation of taxonomic name finding & next steps in Biodiversity Heritage...
An evaluation of taxonomic name finding & next steps in Biodiversity Heritage...
 

Viewers also liked

2017 Why invest in Momentum as a Factor ?
2017 Why invest in Momentum as a Factor ?2017 Why invest in Momentum as a Factor ?
2017 Why invest in Momentum as a Factor ?Frederic Jamet
 
SAVE THE FROGS! Presentation in Belo Horizonte, Brazil
SAVE THE FROGS! Presentation in Belo Horizonte, BrazilSAVE THE FROGS! Presentation in Belo Horizonte, Brazil
SAVE THE FROGS! Presentation in Belo Horizonte, BrazilSAVE THE FROGS!
 
I am tired of lazy sadness
I am tired of lazy sadnessI am tired of lazy sadness
I am tired of lazy sadnessDakota Dragon
 
Introdução ao Git - fs2w - GrupySP
Introdução ao Git - fs2w - GrupySPIntrodução ao Git - fs2w - GrupySP
Introdução ao Git - fs2w - GrupySPSamuel Sampaio
 
Manažeři a stres na pracovišti
Manažeři a stres na pracovištiManažeři a stres na pracovišti
Manažeři a stres na pracovištiPeter Ulcin
 
A Quick Guide to Credit Considerations in Real Estate Lending
A Quick Guide to Credit Considerations in Real Estate LendingA Quick Guide to Credit Considerations in Real Estate Lending
A Quick Guide to Credit Considerations in Real Estate LendingColleen Beck-Domanico
 
S4M at Mobile Advertising Summit 2017
S4M at Mobile Advertising Summit 2017S4M at Mobile Advertising Summit 2017
S4M at Mobile Advertising Summit 2017Zoey Tung
 
Livro: Engenharia Estrutural: Portfólio
Livro: Engenharia Estrutural: PortfólioLivro: Engenharia Estrutural: Portfólio
Livro: Engenharia Estrutural: PortfólioAtex Brasil
 
Cálculo de Tarifas Eléctricas Venezuela
Cálculo de Tarifas Eléctricas VenezuelaCálculo de Tarifas Eléctricas Venezuela
Cálculo de Tarifas Eléctricas VenezuelaRicardo Cuberos Mejía
 
Digital accessibility in a post truth world
Digital accessibility in a post truth worldDigital accessibility in a post truth world
Digital accessibility in a post truth worldIntopia
 

Viewers also liked (14)

2017 Why invest in Momentum as a Factor ?
2017 Why invest in Momentum as a Factor ?2017 Why invest in Momentum as a Factor ?
2017 Why invest in Momentum as a Factor ?
 
SAVE THE FROGS! Presentation in Belo Horizonte, Brazil
SAVE THE FROGS! Presentation in Belo Horizonte, BrazilSAVE THE FROGS! Presentation in Belo Horizonte, Brazil
SAVE THE FROGS! Presentation in Belo Horizonte, Brazil
 
I am tired of lazy sadness
I am tired of lazy sadnessI am tired of lazy sadness
I am tired of lazy sadness
 
Introdução ao Git - fs2w - GrupySP
Introdução ao Git - fs2w - GrupySPIntrodução ao Git - fs2w - GrupySP
Introdução ao Git - fs2w - GrupySP
 
Zakonski okvir in raziskave
Zakonski okvir in raziskaveZakonski okvir in raziskave
Zakonski okvir in raziskave
 
Ley organica
Ley organicaLey organica
Ley organica
 
Manažeři a stres na pracovišti
Manažeři a stres na pracovištiManažeři a stres na pracovišti
Manažeři a stres na pracovišti
 
A Quick Guide to Credit Considerations in Real Estate Lending
A Quick Guide to Credit Considerations in Real Estate LendingA Quick Guide to Credit Considerations in Real Estate Lending
A Quick Guide to Credit Considerations in Real Estate Lending
 
Redesign design
Redesign designRedesign design
Redesign design
 
S4M at Mobile Advertising Summit 2017
S4M at Mobile Advertising Summit 2017S4M at Mobile Advertising Summit 2017
S4M at Mobile Advertising Summit 2017
 
Livro: Engenharia Estrutural: Portfólio
Livro: Engenharia Estrutural: PortfólioLivro: Engenharia Estrutural: Portfólio
Livro: Engenharia Estrutural: Portfólio
 
Material didactico
Material didacticoMaterial didactico
Material didactico
 
Cálculo de Tarifas Eléctricas Venezuela
Cálculo de Tarifas Eléctricas VenezuelaCálculo de Tarifas Eléctricas Venezuela
Cálculo de Tarifas Eléctricas Venezuela
 
Digital accessibility in a post truth world
Digital accessibility in a post truth worldDigital accessibility in a post truth world
Digital accessibility in a post truth world
 

Similar to Research Graph: Connecting Identifiers across Research Data Infrastructures

Using Neo4j for exploring the research graph connections made by RD-Switchboard
Using Neo4j for exploring the research graph connections made by RD-SwitchboardUsing Neo4j for exploring the research graph connections made by RD-Switchboard
Using Neo4j for exploring the research graph connections made by RD-Switchboardamiraryani
 
Preparing for the UK Research Data Registry and Discovery Service
Preparing for the UK Research Data Registry and Discovery ServicePreparing for the UK Research Data Registry and Discovery Service
Preparing for the UK Research Data Registry and Discovery ServiceRepository Fringe
 
re3data - Registry of Research Data Repositories
re3data -  Registry of Research Data Repositoriesre3data -  Registry of Research Data Repositories
re3data - Registry of Research Data RepositoriesHeinz Pampel
 
What is DataCite-screenshots
What is DataCite-screenshotsWhat is DataCite-screenshots
What is DataCite-screenshotsdatacite
 
ARDC - Introduction to Thematic Data Commons - La Trobe 080823
ARDC -  Introduction to Thematic Data Commons - La Trobe 080823ARDC -  Introduction to Thematic Data Commons - La Trobe 080823
ARDC - Introduction to Thematic Data Commons - La Trobe 080823Richard Ferrers
 
Metadata as Linked Data for Research Data Repositories
Metadata as Linked Data for Research Data RepositoriesMetadata as Linked Data for Research Data Repositories
Metadata as Linked Data for Research Data Repositoriesandrea huang
 
The lifecycle of reproducible science data and what provenance has got to do ...
The lifecycle of reproducible science data and what provenance has got to do ...The lifecycle of reproducible science data and what provenance has got to do ...
The lifecycle of reproducible science data and what provenance has got to do ...Paolo Missier
 
R language tutorial
R language tutorialR language tutorial
R language tutorialDavid Chiu
 
Text Mining Applied to SQL Queries: a Case Study for SDSS SkyServer
Text Mining Applied to SQL Queries: a Case Study for SDSS SkyServerText Mining Applied to SQL Queries: a Case Study for SDSS SkyServer
Text Mining Applied to SQL Queries: a Case Study for SDSS SkyServerVitor Hirota Makiyama
 
Linked Data for improved organization of research data
Linked Data  for improved organization  of research dataLinked Data  for improved organization  of research data
Linked Data for improved organization of research dataSamuel Lampa
 
Data You May Like: A Recommender System for Research Data Discovery
Data You May Like: A Recommender System for Research Data DiscoveryData You May Like: A Recommender System for Research Data Discovery
Data You May Like: A Recommender System for Research Data DiscoveryAnusuriya Devaraju
 
Rolle und Perspektive von re3data.org bei der Förderung von Open Science
Rolle und Perspektive von re3data.org bei der Förderung von Open ScienceRolle und Perspektive von re3data.org bei der Förderung von Open Science
Rolle und Perspektive von re3data.org bei der Förderung von Open ScienceHeinz Pampel
 
Purdue University Research Repository - OR2013
Purdue University Research Repository - OR2013Purdue University Research Repository - OR2013
Purdue University Research Repository - OR2013Courtney Matthews
 
The Purdue University Research Repository: Providing Institutional Data Servi...
The Purdue University Research Repository: Providing Institutional Data Servi...The Purdue University Research Repository: Providing Institutional Data Servi...
The Purdue University Research Repository: Providing Institutional Data Servi...Courtney Matthews
 
Tools für das Management von Forschungsdaten
Tools für das Management von ForschungsdatenTools für das Management von Forschungsdaten
Tools für das Management von ForschungsdatenHeinz Pampel
 
IDs书友会 - 主题1 - Swinburne Next Generation Research
IDs书友会 - 主题1 - Swinburne Next Generation Research IDs书友会 - 主题1 - Swinburne Next Generation Research
IDs书友会 - 主题1 - Swinburne Next Generation Research IDs Club 澳洲互联网俱乐部
 
Data storage in Cloud computing
Data storage in Cloud computingData storage in Cloud computing
Data storage in Cloud computingDong Yuan
 
Integrating ORCID, Funding, and Institutional Identifiers
Integrating ORCID, Funding, and Institutional IdentifiersIntegrating ORCID, Funding, and Institutional Identifiers
Integrating ORCID, Funding, and Institutional Identifiers Micah Altman
 
Towards Knowledge Graph based Representation, Augmentation and Exploration of...
Towards Knowledge Graph based Representation, Augmentation and Exploration of...Towards Knowledge Graph based Representation, Augmentation and Exploration of...
Towards Knowledge Graph based Representation, Augmentation and Exploration of...Sören Auer
 
Using Embeddings for Dynamic Diverse Summarisation in Heterogeneous Graph Str...
Using Embeddings for Dynamic Diverse Summarisation in Heterogeneous Graph Str...Using Embeddings for Dynamic Diverse Summarisation in Heterogeneous Graph Str...
Using Embeddings for Dynamic Diverse Summarisation in Heterogeneous Graph Str...Niki Pavlopoulou
 

Similar to Research Graph: Connecting Identifiers across Research Data Infrastructures (20)

Using Neo4j for exploring the research graph connections made by RD-Switchboard
Using Neo4j for exploring the research graph connections made by RD-SwitchboardUsing Neo4j for exploring the research graph connections made by RD-Switchboard
Using Neo4j for exploring the research graph connections made by RD-Switchboard
 
Preparing for the UK Research Data Registry and Discovery Service
Preparing for the UK Research Data Registry and Discovery ServicePreparing for the UK Research Data Registry and Discovery Service
Preparing for the UK Research Data Registry and Discovery Service
 
re3data - Registry of Research Data Repositories
re3data -  Registry of Research Data Repositoriesre3data -  Registry of Research Data Repositories
re3data - Registry of Research Data Repositories
 
What is DataCite-screenshots
What is DataCite-screenshotsWhat is DataCite-screenshots
What is DataCite-screenshots
 
ARDC - Introduction to Thematic Data Commons - La Trobe 080823
ARDC -  Introduction to Thematic Data Commons - La Trobe 080823ARDC -  Introduction to Thematic Data Commons - La Trobe 080823
ARDC - Introduction to Thematic Data Commons - La Trobe 080823
 
Metadata as Linked Data for Research Data Repositories
Metadata as Linked Data for Research Data RepositoriesMetadata as Linked Data for Research Data Repositories
Metadata as Linked Data for Research Data Repositories
 
The lifecycle of reproducible science data and what provenance has got to do ...
The lifecycle of reproducible science data and what provenance has got to do ...The lifecycle of reproducible science data and what provenance has got to do ...
The lifecycle of reproducible science data and what provenance has got to do ...
 
R language tutorial
R language tutorialR language tutorial
R language tutorial
 
Text Mining Applied to SQL Queries: a Case Study for SDSS SkyServer
Text Mining Applied to SQL Queries: a Case Study for SDSS SkyServerText Mining Applied to SQL Queries: a Case Study for SDSS SkyServer
Text Mining Applied to SQL Queries: a Case Study for SDSS SkyServer
 
Linked Data for improved organization of research data
Linked Data  for improved organization  of research dataLinked Data  for improved organization  of research data
Linked Data for improved organization of research data
 
Data You May Like: A Recommender System for Research Data Discovery
Data You May Like: A Recommender System for Research Data DiscoveryData You May Like: A Recommender System for Research Data Discovery
Data You May Like: A Recommender System for Research Data Discovery
 
Rolle und Perspektive von re3data.org bei der Förderung von Open Science
Rolle und Perspektive von re3data.org bei der Förderung von Open ScienceRolle und Perspektive von re3data.org bei der Förderung von Open Science
Rolle und Perspektive von re3data.org bei der Förderung von Open Science
 
Purdue University Research Repository - OR2013
Purdue University Research Repository - OR2013Purdue University Research Repository - OR2013
Purdue University Research Repository - OR2013
 
The Purdue University Research Repository: Providing Institutional Data Servi...
The Purdue University Research Repository: Providing Institutional Data Servi...The Purdue University Research Repository: Providing Institutional Data Servi...
The Purdue University Research Repository: Providing Institutional Data Servi...
 
Tools für das Management von Forschungsdaten
Tools für das Management von ForschungsdatenTools für das Management von Forschungsdaten
Tools für das Management von Forschungsdaten
 
IDs书友会 - 主题1 - Swinburne Next Generation Research
IDs书友会 - 主题1 - Swinburne Next Generation Research IDs书友会 - 主题1 - Swinburne Next Generation Research
IDs书友会 - 主题1 - Swinburne Next Generation Research
 
Data storage in Cloud computing
Data storage in Cloud computingData storage in Cloud computing
Data storage in Cloud computing
 
Integrating ORCID, Funding, and Institutional Identifiers
Integrating ORCID, Funding, and Institutional IdentifiersIntegrating ORCID, Funding, and Institutional Identifiers
Integrating ORCID, Funding, and Institutional Identifiers
 
Towards Knowledge Graph based Representation, Augmentation and Exploration of...
Towards Knowledge Graph based Representation, Augmentation and Exploration of...Towards Knowledge Graph based Representation, Augmentation and Exploration of...
Towards Knowledge Graph based Representation, Augmentation and Exploration of...
 
Using Embeddings for Dynamic Diverse Summarisation in Heterogeneous Graph Str...
Using Embeddings for Dynamic Diverse Summarisation in Heterogeneous Graph Str...Using Embeddings for Dynamic Diverse Summarisation in Heterogeneous Graph Str...
Using Embeddings for Dynamic Diverse Summarisation in Heterogeneous Graph Str...
 

More from amiraryani

Research Data Alliance Plenary 9: DDRI Working Group Session
Research Data Alliance Plenary 9: DDRI Working Group SessionResearch Data Alliance Plenary 9: DDRI Working Group Session
Research Data Alliance Plenary 9: DDRI Working Group Sessionamiraryani
 
ORCID in RD-Switchboard
ORCID in RD-SwitchboardORCID in RD-Switchboard
ORCID in RD-Switchboardamiraryani
 
Research Data and the Future of Software Engineering
Research Data and the Future of Software EngineeringResearch Data and the Future of Software Engineering
Research Data and the Future of Software Engineeringamiraryani
 
Report from RDAPlenary 3 to DataCitation Community in Australia
Report from RDAPlenary 3 to DataCitation Community in AustraliaReport from RDAPlenary 3 to DataCitation Community in Australia
Report from RDAPlenary 3 to DataCitation Community in Australiaamiraryani
 
Data Description Registry Interoperability WG at Research Data Alliance Third...
Data Description Registry Interoperability WG at Research Data Alliance Third...Data Description Registry Interoperability WG at Research Data Alliance Third...
Data Description Registry Interoperability WG at Research Data Alliance Third...amiraryani
 
ORCID integration: A case study from ANDS and international development
ORCID integration: A case study from ANDS and international developmentORCID integration: A case study from ANDS and international development
ORCID integration: A case study from ANDS and international developmentamiraryani
 
Identity Awareness: Toward an Invisible e-Infrastructure for Identifying Data...
Identity Awareness: Toward an Invisible e-Infrastructure for Identifying Data...Identity Awareness: Toward an Invisible e-Infrastructure for Identifying Data...
Identity Awareness: Toward an Invisible e-Infrastructure for Identifying Data...amiraryani
 
Can we predict dependencies using domain information?
Can we predict dependencies using domain information?Can we predict dependencies using domain information?
Can we predict dependencies using domain information?amiraryani
 

More from amiraryani (8)

Research Data Alliance Plenary 9: DDRI Working Group Session
Research Data Alliance Plenary 9: DDRI Working Group SessionResearch Data Alliance Plenary 9: DDRI Working Group Session
Research Data Alliance Plenary 9: DDRI Working Group Session
 
ORCID in RD-Switchboard
ORCID in RD-SwitchboardORCID in RD-Switchboard
ORCID in RD-Switchboard
 
Research Data and the Future of Software Engineering
Research Data and the Future of Software EngineeringResearch Data and the Future of Software Engineering
Research Data and the Future of Software Engineering
 
Report from RDAPlenary 3 to DataCitation Community in Australia
Report from RDAPlenary 3 to DataCitation Community in AustraliaReport from RDAPlenary 3 to DataCitation Community in Australia
Report from RDAPlenary 3 to DataCitation Community in Australia
 
Data Description Registry Interoperability WG at Research Data Alliance Third...
Data Description Registry Interoperability WG at Research Data Alliance Third...Data Description Registry Interoperability WG at Research Data Alliance Third...
Data Description Registry Interoperability WG at Research Data Alliance Third...
 
ORCID integration: A case study from ANDS and international development
ORCID integration: A case study from ANDS and international developmentORCID integration: A case study from ANDS and international development
ORCID integration: A case study from ANDS and international development
 
Identity Awareness: Toward an Invisible e-Infrastructure for Identifying Data...
Identity Awareness: Toward an Invisible e-Infrastructure for Identifying Data...Identity Awareness: Toward an Invisible e-Infrastructure for Identifying Data...
Identity Awareness: Toward an Invisible e-Infrastructure for Identifying Data...
 
Can we predict dependencies using domain information?
Can we predict dependencies using domain information?Can we predict dependencies using domain information?
Can we predict dependencies using domain information?
 

Recently uploaded

Observational constraints on mergers creating magnetism in massive stars
Observational constraints on mergers creating magnetism in massive starsObservational constraints on mergers creating magnetism in massive stars
Observational constraints on mergers creating magnetism in massive starsSérgio Sacani
 
projectile motion, impulse and moment
projectile  motion, impulse  and  momentprojectile  motion, impulse  and  moment
projectile motion, impulse and momentdonamiaquintan2
 
Quarter 4_Grade 8_Digestive System Structure and Functions
Quarter 4_Grade 8_Digestive System Structure and FunctionsQuarter 4_Grade 8_Digestive System Structure and Functions
Quarter 4_Grade 8_Digestive System Structure and FunctionsCharlene Llagas
 
CHROMATOGRAPHY PALLAVI RAWAT.pptx
CHROMATOGRAPHY  PALLAVI RAWAT.pptxCHROMATOGRAPHY  PALLAVI RAWAT.pptx
CHROMATOGRAPHY PALLAVI RAWAT.pptxpallavirawat456
 
Replisome-Cohesin Interfacing A Molecular Perspective.pdf
Replisome-Cohesin Interfacing A Molecular Perspective.pdfReplisome-Cohesin Interfacing A Molecular Perspective.pdf
Replisome-Cohesin Interfacing A Molecular Perspective.pdfAtiaGohar1
 
The Sensory Organs, Anatomy and Function
The Sensory Organs, Anatomy and FunctionThe Sensory Organs, Anatomy and Function
The Sensory Organs, Anatomy and FunctionJadeNovelo1
 
Observation of Gravitational Waves from the Coalescence of a 2.5–4.5 M⊙ Compa...
Observation of Gravitational Waves from the Coalescence of a 2.5–4.5 M⊙ Compa...Observation of Gravitational Waves from the Coalescence of a 2.5–4.5 M⊙ Compa...
Observation of Gravitational Waves from the Coalescence of a 2.5–4.5 M⊙ Compa...Sérgio Sacani
 
How we decide powerpoint presentation.pptx
How we decide powerpoint presentation.pptxHow we decide powerpoint presentation.pptx
How we decide powerpoint presentation.pptxJosielynTars
 
Pests of Sunflower_Binomics_Identification_Dr.UPR
Pests of Sunflower_Binomics_Identification_Dr.UPRPests of Sunflower_Binomics_Identification_Dr.UPR
Pests of Sunflower_Binomics_Identification_Dr.UPRPirithiRaju
 
6.2 Pests of Sesame_Identification_Binomics_Dr.UPR
6.2 Pests of Sesame_Identification_Binomics_Dr.UPR6.2 Pests of Sesame_Identification_Binomics_Dr.UPR
6.2 Pests of Sesame_Identification_Binomics_Dr.UPRPirithiRaju
 
KDIGO-2023-CKD-Guideline-Public-Review-Draft_5-July-2023.pdf
KDIGO-2023-CKD-Guideline-Public-Review-Draft_5-July-2023.pdfKDIGO-2023-CKD-Guideline-Public-Review-Draft_5-July-2023.pdf
KDIGO-2023-CKD-Guideline-Public-Review-Draft_5-July-2023.pdfGABYFIORELAMALPARTID1
 
Environmental Acoustics- Speech interference level, acoustics calibrator.pptx
Environmental Acoustics- Speech interference level, acoustics calibrator.pptxEnvironmental Acoustics- Speech interference level, acoustics calibrator.pptx
Environmental Acoustics- Speech interference level, acoustics calibrator.pptxpriyankatabhane
 
GENERAL PHYSICS 2 REFRACTION OF LIGHT SENIOR HIGH SCHOOL GENPHYS2.pptx
GENERAL PHYSICS 2 REFRACTION OF LIGHT SENIOR HIGH SCHOOL GENPHYS2.pptxGENERAL PHYSICS 2 REFRACTION OF LIGHT SENIOR HIGH SCHOOL GENPHYS2.pptx
GENERAL PHYSICS 2 REFRACTION OF LIGHT SENIOR HIGH SCHOOL GENPHYS2.pptxRitchAndruAgustin
 
Combining Asynchronous Task Parallelism and Intel SGX for Secure Deep Learning
Combining Asynchronous Task Parallelism and Intel SGX for Secure Deep LearningCombining Asynchronous Task Parallelism and Intel SGX for Secure Deep Learning
Combining Asynchronous Task Parallelism and Intel SGX for Secure Deep Learningvschiavoni
 
WEEK 4 PHYSICAL SCIENCE QUARTER 3 FOR G11
WEEK 4 PHYSICAL SCIENCE QUARTER 3 FOR G11WEEK 4 PHYSICAL SCIENCE QUARTER 3 FOR G11
WEEK 4 PHYSICAL SCIENCE QUARTER 3 FOR G11GelineAvendao
 
Explainable AI for distinguishing future climate change scenarios
Explainable AI for distinguishing future climate change scenariosExplainable AI for distinguishing future climate change scenarios
Explainable AI for distinguishing future climate change scenariosZachary Labe
 
DNA isolation molecular biology practical.pptx
DNA isolation molecular biology practical.pptxDNA isolation molecular biology practical.pptx
DNA isolation molecular biology practical.pptxGiDMOh
 
Forensic limnology of diatoms by Sanjai.pptx
Forensic limnology of diatoms by Sanjai.pptxForensic limnology of diatoms by Sanjai.pptx
Forensic limnology of diatoms by Sanjai.pptxkumarsanjai28051
 
FBI Profiling - Forensic Psychology.pptx
FBI Profiling - Forensic Psychology.pptxFBI Profiling - Forensic Psychology.pptx
FBI Profiling - Forensic Psychology.pptxPayal Shrivastava
 

Recently uploaded (20)

Observational constraints on mergers creating magnetism in massive stars
Observational constraints on mergers creating magnetism in massive starsObservational constraints on mergers creating magnetism in massive stars
Observational constraints on mergers creating magnetism in massive stars
 
projectile motion, impulse and moment
projectile  motion, impulse  and  momentprojectile  motion, impulse  and  moment
projectile motion, impulse and moment
 
Quarter 4_Grade 8_Digestive System Structure and Functions
Quarter 4_Grade 8_Digestive System Structure and FunctionsQuarter 4_Grade 8_Digestive System Structure and Functions
Quarter 4_Grade 8_Digestive System Structure and Functions
 
CHROMATOGRAPHY PALLAVI RAWAT.pptx
CHROMATOGRAPHY  PALLAVI RAWAT.pptxCHROMATOGRAPHY  PALLAVI RAWAT.pptx
CHROMATOGRAPHY PALLAVI RAWAT.pptx
 
Replisome-Cohesin Interfacing A Molecular Perspective.pdf
Replisome-Cohesin Interfacing A Molecular Perspective.pdfReplisome-Cohesin Interfacing A Molecular Perspective.pdf
Replisome-Cohesin Interfacing A Molecular Perspective.pdf
 
The Sensory Organs, Anatomy and Function
The Sensory Organs, Anatomy and FunctionThe Sensory Organs, Anatomy and Function
The Sensory Organs, Anatomy and Function
 
Observation of Gravitational Waves from the Coalescence of a 2.5–4.5 M⊙ Compa...
Observation of Gravitational Waves from the Coalescence of a 2.5–4.5 M⊙ Compa...Observation of Gravitational Waves from the Coalescence of a 2.5–4.5 M⊙ Compa...
Observation of Gravitational Waves from the Coalescence of a 2.5–4.5 M⊙ Compa...
 
How we decide powerpoint presentation.pptx
How we decide powerpoint presentation.pptxHow we decide powerpoint presentation.pptx
How we decide powerpoint presentation.pptx
 
Pests of Sunflower_Binomics_Identification_Dr.UPR
Pests of Sunflower_Binomics_Identification_Dr.UPRPests of Sunflower_Binomics_Identification_Dr.UPR
Pests of Sunflower_Binomics_Identification_Dr.UPR
 
6.2 Pests of Sesame_Identification_Binomics_Dr.UPR
6.2 Pests of Sesame_Identification_Binomics_Dr.UPR6.2 Pests of Sesame_Identification_Binomics_Dr.UPR
6.2 Pests of Sesame_Identification_Binomics_Dr.UPR
 
KDIGO-2023-CKD-Guideline-Public-Review-Draft_5-July-2023.pdf
KDIGO-2023-CKD-Guideline-Public-Review-Draft_5-July-2023.pdfKDIGO-2023-CKD-Guideline-Public-Review-Draft_5-July-2023.pdf
KDIGO-2023-CKD-Guideline-Public-Review-Draft_5-July-2023.pdf
 
Environmental Acoustics- Speech interference level, acoustics calibrator.pptx
Environmental Acoustics- Speech interference level, acoustics calibrator.pptxEnvironmental Acoustics- Speech interference level, acoustics calibrator.pptx
Environmental Acoustics- Speech interference level, acoustics calibrator.pptx
 
GENERAL PHYSICS 2 REFRACTION OF LIGHT SENIOR HIGH SCHOOL GENPHYS2.pptx
GENERAL PHYSICS 2 REFRACTION OF LIGHT SENIOR HIGH SCHOOL GENPHYS2.pptxGENERAL PHYSICS 2 REFRACTION OF LIGHT SENIOR HIGH SCHOOL GENPHYS2.pptx
GENERAL PHYSICS 2 REFRACTION OF LIGHT SENIOR HIGH SCHOOL GENPHYS2.pptx
 
Combining Asynchronous Task Parallelism and Intel SGX for Secure Deep Learning
Combining Asynchronous Task Parallelism and Intel SGX for Secure Deep LearningCombining Asynchronous Task Parallelism and Intel SGX for Secure Deep Learning
Combining Asynchronous Task Parallelism and Intel SGX for Secure Deep Learning
 
WEEK 4 PHYSICAL SCIENCE QUARTER 3 FOR G11
WEEK 4 PHYSICAL SCIENCE QUARTER 3 FOR G11WEEK 4 PHYSICAL SCIENCE QUARTER 3 FOR G11
WEEK 4 PHYSICAL SCIENCE QUARTER 3 FOR G11
 
Explainable AI for distinguishing future climate change scenarios
Explainable AI for distinguishing future climate change scenariosExplainable AI for distinguishing future climate change scenarios
Explainable AI for distinguishing future climate change scenarios
 
DNA isolation molecular biology practical.pptx
DNA isolation molecular biology practical.pptxDNA isolation molecular biology practical.pptx
DNA isolation molecular biology practical.pptx
 
Forensic limnology of diatoms by Sanjai.pptx
Forensic limnology of diatoms by Sanjai.pptxForensic limnology of diatoms by Sanjai.pptx
Forensic limnology of diatoms by Sanjai.pptx
 
FBI Profiling - Forensic Psychology.pptx
FBI Profiling - Forensic Psychology.pptxFBI Profiling - Forensic Psychology.pptx
FBI Profiling - Forensic Psychology.pptx
 
PLASMODIUM. PPTX
PLASMODIUM. PPTXPLASMODIUM. PPTX
PLASMODIUM. PPTX
 

Research Graph: Connecting Identifiers across Research Data Infrastructures

  • 1. Research Graph: Connecting Identifiers across Research Data Infrastructures 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 ● Challenge of cross-platform discovery ● Research Data Alliance working groups ● Example of Research Graph connections and Neo4j queries ● Impact of identifiers on connections
  • 5. Question: What other researchers or research activities are connected to this work?” ● What other related datasets has been published by the authors? ● What are the related publications to this dataset? ● What is the research portfolio of the authors related to this work? ● What research projects are related to this dataset?
  • 7. Research Data Alliance Working Groups
  • 8. Data Description Registry Interoperability (DDRI) WG Goal: Enabling Cross-platform Discovery between research data infrastructures https://www.rd-alliance.org/groups/data-description-registry-interoperability.html
  • 9. Building Research Graph using Switchboard
  • 10. RDA/WDS Scholarly Link Exchange (Scholix) WG https://www.rd-alliance.org/groups/rdawds-scholarly-link-exchange-scholix-wg
  • 11. Role of identifiers ● (D:Datacite:Dataset)--(P:CrossRef:Publication) ○ (doi) -- (doi) ● (D:Datacite:Dataset)--(P:CERN:Publication) ○ (doi) -- (doi) ● (D:Datacite:Dataset)--(R:CERN:Researcher) -- (P:CERN:Publication) ○ (doi) -- (inspireHepID) -- (doi) ● (D:DRYAD:Dataset)--(R:ORCID:Researcher)--(P:CERN:Publication) ○ (doi) -- (orcid) -- (doi) ● (g:ANDS:Grant)--(R:ANDS:Dataset)--(R:ORCID:Researcher) ○ (purl) -- (doi) -- (orcid)
  • 12. Using Neo4j and RD-Switchboard ● match (n:dataset) where n.doi='10.4225/35/563159f223739' return n ● match (n:dataset)--(r:researcher) where n.doi='10.4225/35/563159f223739' return r.first_name, r.last_name ● match (r:orcid:researcher) where r.first_name='David' and r.last_name='Ellsworth' return r.orcid Find all the publications by 3 degrees of separation ● match (n:dataset)-[*1..3]-(p:publication) where n.doi='10.4225/35/563159f223739' return n.title limit 50
  • 14. Impact of identifiers: DOI Case A: match (d:dataset)--(m) where not exists(d.doi) return count(distinct(d)) Case B: match (d:dataset)--(m) where exists(d.doi) return count(distinct(d))
  • 15. Impact of identifiers: ORCID Case A: match (r:researcher)--(m) where not exists(r.orcid) return count(distinct(r)) Case B: match (r:researcher)--(m) where exists(r.orcid) return count(distinct(r))
  • 16. Summary ● President Identifiers has a crucial role in enabling connections in Research Graph and enabling functionality of the Switchboard platform. ● Research Graph distributed graph currently more than ten million nodes from CERN, Dryad, ORCID, figshare, ANDS, NII Japan, and a number of other international partners. This data can be used for research in collaboration networks. ● The Research Graph is an open collaborative project. If you are interested to work with the project partners, please ○ Join DDRI Working Group: https://www.rd-alliance.org/groups/data-description-registry-interoperability.html ○ and contact amir.aryani@ands.org.au ● More information: ○ http://researchgraph.org/ ○ https://github.com/researchgraph ○ https://twitter.com/researchgraph