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DSpace-CRIS: a CRIS enhanced repository platform

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International Conference on Economics and Business Information 19 to 20 April 2016 in Berlin

This presentation introduces you to the version 5.5.0 of the DSpace-CRIS extension. With such extension you can capture the full picture of the research activities conduct in your institution and their context. It enables to showcase the experts, the facilities, the services and much more to attract funding, facilitate collaborations and curate the scientific reputation of your Institution.

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DSpace-CRIS: a CRIS enhanced repository platform

  1. 1. DSpace-CRIS: a CRIS enhanced repository platform Inconecss, Berlin 19th April 2016 Andrea Bollini ( orcid:0000-0002-9029-1854 ) Head of Open Source and Open Standards Strategy
  2. 2. • The DSpace-CRIS project history • A rich & customisable data model • Main features • ORCID integration • Next steps Agenda
  3. 3. DSpace & DSpace-CRIS DSpace extended to all Research entities To better support: People, Organization, Projects, etc. Interactions Reputation Dissemination Institutional Repository Open source 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
  4. 4. The DSpace-CRIS project history Partnership with Hong Kong University (DSpace 1.5)2009 2012 2013 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 5.402-2016 03-2016 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 over OAI-PMH exposure and harvesting Late summer …
  5. 5. Data model Standard DSpace  publications or dataset DSpace-CRIS  other CERIF entities: / Researcher Pages / Projects / OrgUnits / 2nd Level Dynamic Objects APPROACH DYNAMIC FLEXIBLE NOT HARDCODED UIs FEW PREDEFINED ATTRIBUTES ENTITIES FEW PREDEFINED DEFINE ANY ASPECTS Relations and
  6. 6. Main DSpace-CRIS Entities – a single entity specialized by a profile (type) ie Journal, Prize, Event, etc.; – Every profile has it own set of properties independently defined – managing people; – Track author identifiers, name variants, career; – Synchronized with ORCID; – Manageable out-of-box by end users – defined as separated entities; – Allow future extensions, specializations and build of specific workflows and editing rules Researcher Pages Projects and OrgUnits Second level Dynamic Objects
  7. 7. Which is the value proposition?
  8. 8. An integrated view of the research
  9. 9. Top objects using several criteria Navigation Global search Infographics
  10. 10. Global search across the whole site with highlighting of found terms
  11. 11. Narrowing the result by a specific entity type provide further faceting options
  12. 12. At the site level the recent submissions are all journal article
  13. 13. At the site level the most viewed item is a Thesis, the second one a Journal article
  14. 14. At the site level all the most cited publications are journal articles
  15. 15. Explore Theses: contextualised recent submissions and top viewed
  16. 16. Explore Research Output: contextualised top list, specific browse & search indexes
  17. 17. Explore Researchers: different browse & search indexes; different components
  18. 18. Beside the metadata the system shows all the available metrics
  19. 19. 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
  20. 20. Link to Google Scholar citations & altmetric badge
  21. 21. Link to Google Scholar citations & altmetric badge
  22. 22. Links to more detailed record for authors, journals and any related entities
  23. 23. Data are organized in several pages (tabs)
  24. 24. Any page is composed by several boxes
  25. 25. Any box includes one or more fields. Different datatypes are supported to allow storing of photo, text, number, identifiers, link to other entities
  26. 26. 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>
  27. 27. All the objects (publications, projects, etc.) that are linked to the researcher can be automatically included in her profile using dynamic components
  28. 28. The metric framework can be applied to any entity – out of box support for Scopus, Web of Science, PubMed and internal usage statistics for publications and researchers
  29. 29. It is possible to explore the collaboration network of a researcher defining own criteria (co-authoring publications, coinvestigation projects, co-interest, etc.)
  30. 30. Once a co-researcher is selected it is possible to see the details of the collaboration
  31. 31. Once a co-researcher is selected it is possible to see the details of the collaboration
  32. 32. It is also possible to navigate through hierarchy organizations
  33. 33. All the objects (publications, projects, etc.) that are linked to the organization can be automatically included
  34. 34. …including indirect reference (via researchers) and their metrics
  35. 35. Internal usage statistics are available to all levels of hierarchy, including the whole repository
  36. 36. Internal usage statistics are available to all levels of hierarchy, including the whole repository
  37. 37. Internal usage statistics are available to all levels of hierarchy, including the whole repository
  38. 38. How to collect the data • 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
  39. 39. ORCID Integration Connect local profile with the ORCID registry Transfer information from the repository to the ORCID Registry and viceversa Create new record - facilitate the creation of new ORCID records for researchers Login via ORCID iD
  40. 40. • Login and claim your profile using ORCID • Use the ORCID registry as authority for people extending the local directory • Initialize profiles with data from the ORCID registry • Create ORCID profiles for researcher with opt-in (require member api) • Push local information about biography, publications, projects to ORCID (require member api) ORCID Integration
  41. 41. • 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?
  42. 42. The data model configuration doesn’t require coding!
  43. 43. • It can be performed via UI and exported to xls • It can be imported from XLS files Data model configuration
  44. 44. Tabs Boxes Fields
  45. 45. Thanks for your attention! Andrea Bollini ( orcid:0000-0002-9029-1854 ) Head of Open Source and Open Standards Strategy