Jochen SchirrwagenBielefeld University Library, Germany

CRIS and OAR entities as Linked

Data in scholarly communication –

a vision scenario

About OpenAIRE - Motivation

Implementation of a support infrastructure for the European Open Access pilot (2009-2012)

Research Assessment

– Identification, Capture, Measurement of EC funded FP7 project results (Special Clause 39)

Addressing of Interoperability aspects regarding

– European Commission (EC) Tools

– Current Research Information Systems (CRIS) JISC Research Excellence Framework

– Open Access Repositories (OAR)

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OpenAIRE facts

Itself an EC funded FP7 project

38 OpenAIRE partners across Europe

27 National Open Access Liaison Offices

6887 projects in FP7

– Using CORDA as authoritative source

Some 10.000 publications estimated

Data-Sources (striving for OpenAIRE Guidelines compliancy)

– Institutional repositories Using OpenDOAR as authoritative source of ~850 repositories

– Coverage of subject-based repositories planned

– Coverage of OA journals planned

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Interoperability Scenario

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OpenAIRE

CRIS CORDA

OA-Repositories

Deposit/claiming

of publications

related to project

Project data

at ECProject data at

institution

Bibliographic

data; DC;

OAI-PMH

Author

KE-CRIS-OAR;

PMH; ORE

Candidates for Entities &

Vocabularies

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Challenges – Data and

Interoperability

Capturing research output from different domains involves:

Different responsibilities and tasks

Different metadata formats used

Different metadata exchange interfaces and protocols

Different metadata granularity

– In CRIS -> fine

– In OAR -> coarse

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Challenges – Data and

Interoperability

In the CRIS domain

– Covers the research process

– Run by the administrative department

– Broader view on research information

– Diverse data models and formats

CERIF (-like) models

DDF-MXD, METIS, PURE

In the OAR domain

– Covers research publications

– Run by the library department

– Focus on bibliographic quality

– Diverse metadata formats

DC, DIDL/MODS, EPrints

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Issues addressed

by KE CRIS-OAR

Working group within the quadrolateral Knowledge Exchange-Initiative (KE: SURF-NL, JISC-UK, DFG-DE, DEFF-DK)

Aiming to increase interoperability between CRIS and OAR domains

– Increasing metadata quality and re-use

– Increasing level of interface standards

– By taking existing formats into account: Defining a metadata exchange format With a corresponding set of common

vocabularies

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Publication entity as the center

of interest

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Person

Organisation

Event

Project

Publication

How could “Linked Data” help ?

Common way of linkages of content from distinct domains

– Use of native web-technologies Controlled vocabularies may help to tame semantic variability

– URIfying named entities Data publishers keep control of their data

Avoids context loss compared to interchange formats

May avoid double input and thus redundant data in each domain

Vocabulary helps to tame semantic variability

May reduce the identifier problem by assigning persistent URIs to the entities

– Person (Author) identifier (DAI, ORCID)

– Publication identifier (DOI, URN, …)

– Project identifier (?)

– Event identifier (?)

– Organisation identifier (?)

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Aggregation of Interlinked Data

Task to be addressed:

– “bulk import/export” of publication and project data -> new wording “exposure”

– Representing different views on theinformation packages, e.g.: Publication as an Aggregation of Person,

Organisation, Project and Event entities

Nested aggregation as a collection of all publications, where each publication is itself an aggregation of relative CRIS-OAR entities

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OAI-ORE Approach Sample

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ore:aggregates

ore:describes ore:isDescribedBy

ore:describes

ore:aggregates

ore:aggregates

ore:aggregates

ore:aggregatesore:aggregates

ore:aggregates

ore:aggregates

ore:aggregates

A-Pub

kecrisoar:

publication

AR-Pers

AR-Org

AR-Eve kecrisoar:event

kecrisoar:organization

kecrisoar:person

AR-Proj kecrisoar:projectore:aggregates

ReM-

Pub ReM-

Proj

Fulltext

Extract of a ORE RDF

Serialization

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Next Steps

Adopting KE CRIS-OAR model and vocabulary

Addressing “Linked Data” in OpenAIREplusstarting in 12/2011

– Linkage of publications and research data

– Linkage of CRIS and OAR domains

Further scenarios may include linked data ascitations or statistical data

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Further Links

• Portal and project home: www.openaire.eu

• EC pilot: ec.europa.eu/research/science-society/open_access

• CERIF: www.eurocris.org

• KE CRIS-OAR: http://knowledge-exchange.info/Default.aspx?ID=340

• CRIS-OAR schema and vocabulary: https://infoshare.dtv.dk/twiki/bin/view/KeCrisOar/KeCrisOarFormat

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Jochen Schirrwagenjochen.schirrwagen@uni-bielefeld.de

Wolfram Horstmannwolfram.horstmann@uni-bielefeld.de