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1 Data Description Registry Interoperability (DDRI) Working Group Dimitris Gavrilis, Amir Aryani.

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Presentation on theme: "1 Data Description Registry Interoperability (DDRI) Working Group Dimitris Gavrilis, Amir Aryani."— Presentation transcript:

1 1 Data Description Registry Interoperability (DDRI) Working Group Dimitris Gavrilis, Amir Aryani

2 2 Enabling cross-platform discovery between research data registries. Problem & Context

3 3 ▪ANDS. Australian National Data Service ▪Data-PASS. Data Preservation Alliance for the Social Sciences ▪Dryad. Digital Repository ▪Thomson Reuters DCI. Data Citation Index ▪VIVO Cornell. Research-focused multidisciplinary discovery tool ▪CERN. European Organization for Nuclear Research ▪DANS. Data Archiving & Networked Services ▪da|ra. The DOI registration service in Germany ▪DCU. Digital Curation Unit – IMIS, Athena R.C. Partners

4 4 Example from Dryad

5 5 Author Information

6 6 http://researchdata.ands.org.au/associate-professor-katherine-belov/11038

7 7 Research Data Switchboard

8 8 Modelling Connections as a Graph www.RD-Switchboard.org

9 9 Duplication of Content ● Why ? ○ Same information submitted to different repositories ○ Harvested from multiple sources ● How can we deal with duplication ? ○ Unique identifiers ■DOI ■Handle.net ■ORCID ■ISNI ■... ● What happens if no unique identifier is present ?

10 10 A De-Duplication Service for the Humanities ● Motivation o Huge amount of humanities related content in Europe o Many aggregation projects about cultural heritage ● Simple examples o Same dataset is aggregated from different sources o Same dataset is submitted multiple times o Same author deposits data to different repositories o Same author registers twice o Two co-authors submit the same dataset twice from two different locations

11 11 Why De-Duplication ● Cleaner, more accurate data ● Save time in submission validation ● Save space and resources when aggregating content from multiple sources ● Improved interoperability

12 12 Service Design

13 13 Matching Algorithm ● Proposed Elements to use o Keywords o Issued Date o Subject Terms o Spatial Information o Temporal Information ● Matching algorithms o Accuracy  Exact  Approximate o Element  Titles  Authors/Creators  Spatial  Temporal

14 14 Prototype Implementation http://more.dcu.gr/

15 15 Operational Workflow Harvest Service OAI-PMH File Upload REST Validation De-Duplication Report RDF Store Publish results IngestEnrichment

16 16 Thank you d.gavrilis@dcu.gr


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