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DSpace standard Data model and DSpace-CRIS

Slides to support the discussion and exploring convergence between DSpace and DSpace-CRIS at the DCAT vritual meeting, Sep 2016

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DSpace standard Data model
and DSpace-CRIS
DCAT Discussion: exploring convergence
Andrea Bollini (CTIO)
<andrea.bollini@4science.it>
• DSpace
• focus on digital object providing more or less support for the
Portland Common Data Model
• Communities & collections match the PCDM collection scope
& definition
• Data model is pre-defined
• DSpace-CRIS
• allows to manage additional entities to support rich context
around the digital object
• Out-of-box it provides support for the research domain (CRIS)
• Data model is open and configurable: other domains can be
managed without change the database or write code
High level comparison
DSpace-CRIS in a nutshell
2009 - The University of Hong Kong decides to enhance its Institutional Repository
Publications
People
Organisations
Projects
..more
Better
interaction,
reputation,
dissemination
Documentation and software available on the DSpace Wiki:
Asia | US | Canada | Brasil | Europe | Australia | Africa
More than 80 DSpace-CRIS installations running all around the World
2012 - DSpace-CRIS is released as open source to the community
Today
https://wiki.duraspace.org/display/DSPACECRIS/DSpace-CRIS+Home
Data model
Publications
Dataset
DSpace
Publications
Dataset
Researcher Pages
Projects
OrgUnits
2nd Level Dynamic
Objects
DSpace-CRIS
Approach: dynamic, flexible, not hardcoded
Attributes: only a few predefined
Entities: only a few predefined
Uis: all aspects can be defined
Main characteristics of the DSpace-CRIS data model
Main DSpace-CRIS Entities
Managing people:
Tracking author’s identifiers, name variants, career;
Synchronized with ORCID;
Manageable out-of-box by end users
Organisation & projects: Defined as separated entities;
Allow future extensions, specific workflows and editing rules
Other entities:
A single entity characterized by a profile/type (ie: Journal, Prize, Event, etc.;
Each profile has its own set of properties (independently defined)
www.cineca.itAn integrated view of the research,
other domains supported!

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DSpace standard Data model and DSpace-CRIS

  • 1. DSpace standard Data model and DSpace-CRIS DCAT Discussion: exploring convergence Andrea Bollini (CTIO) <andrea.bollini@4science.it>
  • 2. • DSpace • focus on digital object providing more or less support for the Portland Common Data Model • Communities & collections match the PCDM collection scope & definition • Data model is pre-defined • DSpace-CRIS • allows to manage additional entities to support rich context around the digital object • Out-of-box it provides support for the research domain (CRIS) • Data model is open and configurable: other domains can be managed without change the database or write code High level comparison
  • 3. DSpace-CRIS in a nutshell 2009 - The University of Hong Kong decides to enhance its Institutional Repository Publications People Organisations Projects ..more Better interaction, reputation, dissemination Documentation and software available on the DSpace Wiki: Asia | US | Canada | Brasil | Europe | Australia | Africa More than 80 DSpace-CRIS installations running all around the World 2012 - DSpace-CRIS is released as open source to the community Today https://wiki.duraspace.org/display/DSPACECRIS/DSpace-CRIS+Home
  • 4. Data model Publications Dataset DSpace Publications Dataset Researcher Pages Projects OrgUnits 2nd Level Dynamic Objects DSpace-CRIS Approach: dynamic, flexible, not hardcoded Attributes: only a few predefined Entities: only a few predefined Uis: all aspects can be defined Main characteristics of the DSpace-CRIS data model
  • 5. Main DSpace-CRIS Entities Managing people: Tracking author’s identifiers, name variants, career; Synchronized with ORCID; Manageable out-of-box by end users Organisation & projects: Defined as separated entities; Allow future extensions, specific workflows and editing rules Other entities: A single entity characterized by a profile/type (ie: Journal, Prize, Event, etc.; Each profile has its own set of properties (independently defined)
  • 6. www.cineca.itAn integrated view of the research, other domains supported!
  • 7. The data model configuration doesn’t require coding!
  • 12. How to collect the additional data • automatically synchronized with external sources, out-of-box using spreadsheets • manually created during publication / dataset submission • Rich researcher profiles can be automatically imported from the ORCID registry • Rich information can be collected as part of the item submission and moved to the right entity when confirmed • new records can be confirmed / integrated by the administrator • created as DSpace items and automatically converted into the right entity upon validation • managed via UI by administrators
  • 13. • Search & browse all the entites • Global search and specialized section for any entity • Aggregated statistics: by all entity (author, organisation, project, etc.) • Full ORCID integration (push and pull information) • Network visualization • Alert and report about potential duplicate, merge tool for administrators • Metrics framework: allows to store the reference period, the date of collection exposing the information to be shown in the list or used to sort. Ranking, count and aggregation performed automatically • Automatic scanning of external datasource (WoS, Scopus, etc.) Additional DSpace-CRIS benefits
  • 14. ORCID Integration Login via ORCID iD also for external co-authors (if liked) Lookup the registry Transfer information from the repository to the ORCID Registry and viceversa Connect local profile with the ORCID registry Create new record - facilitate the creation of new ORCID records for researchers
  • 17. Screens from a recent public installation with basic layout customization at The Hong Kong Polytechnic University
  • 18. http://ira.lib.polyu.edu.hk/http://ira.lib.polyu.edu.hk (link) Run the latest released version 5.5 Manage people, organisation, publications patents, thesis Integrated with bibliometric database Run by the library, integrated with HR, commercial database, etc.
  • 19. Global search across the whole site with highlighting of found terms
  • 20. Narrowing the result by a specific entity type provide further faceting options
  • 21. Dynamic components are contextualized (site level, researcher outputs, researchers, etc.)
  • 22. At the site level the recent submissions are all journal articles
  • 23. Explore Theses: contextualised recent submissions and top viewed
  • 24. At the site level the most viewed item is a Thesis, the second one a Journal article
  • 25. Explore Research Output: contextualised top list, specific browse & search indexes
  • 26. Explore Researchers: different browse & search indexes; different components
  • 27. Beside the metadata the system shows all the available metrics
  • 28. 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
  • 30. Link to Google Scholar citations & altmetric badge
  • 31. Link to Google Scholar citations & altmetric badge
  • 32. Links to more detailed record for authors, journals and any related entities
  • 33. Data are organized in several pages (tabs)
  • 34. Each page is composed by several boxes
  • 35. Each box includes one or more fields. Different datatypes are supported to allow storing of photo, text, number, identifiers, link to other entities
  • 36. External identifiers can be used to directly address the profile page without knowing the internal CRIS identifier /cris/rp/details.html?lt=orcid&lv=0000-0002-2312-0318 Any type of identifier is allowed (including the ones created locally by the institution – e.g.: staff #) /cris/rp/details.html?lt=<ext_id>&lv=<ext_value> This permits an easy and direct integration with other institutional sites (staff directory, etc.)
  • 37. All the objects (publications, projects, etc.) linked to a researcher can be automatically included in her profile using dynamic components
  • 38. The metric framework can be applied to any entity – out-of- the-box support of Scopus, Web of Science, PubMed and internal usage statistics for publications and researchers
  • 39. It is possible to explore the collaboration network of a researcher based on your own criteria (co-authoring publications, coinvestigation projects, co-interest, etc.)
  • 40. Once a co-researcher is selected it is possible to see the details of the collaboration
  • 41. Once a co-researcher is selected it is possible to see the details of the collaboration
  • 43. It is also possible to navigate through the hierarchy of organizations
  • 44. All the objects (publications, projects, etc.) linked to the organization can be automatically included
  • 45. …including indirect reference (via researchers) and their metrics
  • 46. Internal usage statistics are available at all levels of hierarchy, including the whole repository
  • 47. Internal usage statistics are available at all levels of hierarchy, including the whole repository
  • 48. Internal usage statistics are available to all levels of hierarchy, including the whole repository
  • 49. Andrea Bollini (CTIO) <andrea.bollini@4science.it> mobile: +39 333 934 1808 skype: a.bollini linkedin: andreabollini orcid: 0000-0002-9029-1854 Thanks for your attention

Editor's Notes

  1. Link inverso alle pubblicazioni