DSpa pace ce-CRIS: CRIS: a CRIS IS enha hanced nced repo - - PowerPoint PPT Presentation

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DSpa pace ce-CRIS: CRIS: a CRIS IS enha hanced nced repo - - PowerPoint PPT Presentation

DSpa pace ce-CRIS: CRIS: a CRIS IS enha hanced nced repo posito sitory ry platfo atform rm Inc nconec onecss, ss, Ber erli lin n 19 th th Apr pril il 201 016 Andrea Bollini ( orcid:0000-0002-9029-1854 ) Head of Open Source and


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DSpa pace ce-CRIS: CRIS: a CRIS IS enha hanced nced repo posito sitory ry platfo atform rm

Inc nconec

  • necss,

ss, Ber erli lin n 19th

th Apr

pril il 201 016

Andrea Bollini ( orcid:0000-0002-9029-1854 ) Head of Open Source and Open Standards Strategy

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  • The DSpace-CRIS project history
  • A rich & customisable data model
  • Main features
  • ORCID integration
  • Next steps

Age genda nda

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DSp Space ace & DSp Space ace-CRIS CRIS

DSpace extended to all Research entities To better support:

People, Organization, Projects, etc. Interactions Reputation Dissemination

Institutional Repository

www.cineca.it

Open n source rce BSD license (same as DSpace) Improved Iteratively (3+ release for year) Fall-back at any time to a standard DSpace Don’t call it a fork! Functionalities contributed back to the main code Documentation hosted on the Duraspace wiki Volunteer support provided trough the dspace mailing list

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The he DSp Space ace-CR CRIS IS pro roject ject his istory tory

Partnership with Hong Kong University (DSpace 1.5) 2009 2009 2012 2012 2013 2013 2014 2014 Release the whole project as open source: 1.8.2 DSpace-CRIS 1.8.3 / 3.2 Technical documentation released DSpace-CRIS 4.1– adopted by more than 60 Italian universities

DSpace-CRIS 5.4 02 02-2016 2016 03 03-2016 2016

2015 2015 DSpace-CRIS 4.2, 4.3, 5.2, 5.3

DSpace-CRIS 5.5 DSpace-CRIS 5.5.1: Deduplication, dataset preview, administrative dashboard, CERIF

  • ver OAI-PMH exposure and harvesting

Lat ate e sum umme mer …

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Dat ata a mod

  • del

el

Sta tandar dard d DSp Space ce  publications or dataset DSp Space ace-CRIS CRIS  other CERIF entities:

/ Researcher Pages / Projects / OrgUnits / 2nd Level Dynamic Objects APPROACH

DYNAMIC FLEXIBLE NOT HARDCODED

UIs UIs

FEW PREDEFINE D ATTRIBUTE S

ENTITIES

FEW PREDEFINE D

DEFINE ANY ASPECTS

Rel elatio ations ns

and

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Which is the value proposition?

www.cineca.it

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An integrated view of the research

www.cineca.it

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Top objects using several criteria Navigation Global search Infographics

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Global search across the whole site with highlighting of found terms

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Narrowing the result by a specific entity type provide further faceting

  • ptions
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At the site level the recent submissions are all journal article

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Explore Theses: contextualised recent submissions and top viewed

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Explore Research Output: contextualised top list, specific browse & search indexes

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Explore Researchers: different browse & search indexes; different components

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Beside the metadata the system shows all the available metrics

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5

Rank as percentile compared to the other objects in the repository Grown tracked locally Metric value (citation number) linked to an external detail page when provided

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Link to Google Scholar citations & altmetric badge

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Links to more detailed record for authors, journals and any related entities

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Data are organized in several pages (tabs)

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Any page is composed by several boxes

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Any box includes one or more fields. Different datatypes are supported to allow storing of photo, text, number, identifiers, link to other entities

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External identifiers can be used to directly address the profile page without know the internal CRIS identifier

/cris/rp/details.html?lt=orcid&lv=0000-0002-2312-0318

Any type of identifiers, also local to the institution (staff no, etc.), are allowed – this allow straightforward integration with other institutional site (staff directory, etc.)

/cris/rp/details.html?lt=<ext_id>&lv=<ext_value>

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All the objects (publications, projects, etc.) that are linked to the researcher can be automatically included in her profile using dynamic components

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The metric framework can be applied to any entity – out

  • f box support for Scopus, Web of Science, PubMed and

internal usage statistics for publications and researchers

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It is possible to explore the collaboration network of a researcher defining own criteria (co-authoring publications, coinvestigation projects, co-interest, etc.)

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Once a co-researcher is selected it is possible to see the details of the collaboration

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Once a co-researcher is selected it is possible to see the details of the collaboration

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It is also possible to navigate through hierarchy

  • rganizations
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All the objects (publications, projects, etc.) that are linked to the organization can be automatically included

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…including indirect reference (via researchers) and their metrics

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Internal usage statistics are available to all levels of hierarchy, including the whole repository

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Internal usage statistics are available to all levels of hierarchy, including the whole repository

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Internal usage statistics are available to all levels of hierarchy, including the whole repository

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How

  • w to col
  • llect

lect the he dat ata

  • Publications & dataset can be self-archived

by the researchers or mediated by librarians

– A quality check can be performed with customizable workflow

  • CRIS entities can be:

– automatically synchronized with external sources using spreadsheet – manually created during publication / dataset submission (new record must be confirmed / integrated by the administrator)

  • Rich researcher profiles can be automatically imported from

the ORCID registry

– Managed via UI by administrators

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ORC RCID ID Int ntegra egration tion

Connect local profile with the ORCID registry Transfer information from the repository to the ORCID Registry and viceversa Create new record - facilitate the creation

  • f new ORCID records for researchers

Login via ORCID iD

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  • Deduplication tools: warn about

potential duplicate during submission and administrative dashboard to compare & merge

  • CERIF over OAI-PMH:

– Exposure: compliance with the OpenAIRE guidelines for CRIS system – Harvesting of rich data using CERIF over OAI-PMH to create regional, national or disciplinary portal

  • More tools for dataset: quota

management, data streaming, preview and manipulation tools

What’s next?

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The data model configuration doesn’t require coding!

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  • It can be performed via UI and exported to

xls

  • It can be imported from XLS files

Dat ata a mod

  • del

el con

  • nfi

figurati guration

  • n
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Tabs Boxes Fields

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Thanks for your attention!

https://wiki.duraspace.org/display/DSPACECRIS

Andrea Bollini ( orcid:0000-0002-9029-1854 ) Head of Open Source and Open Standards Strategy a.bollini@cineca.it http://www.slideshare.net/AndreaBollini2