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Research data spring: giving researchers credit for their data


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The research data spring project "Giving researchers credit for their data" slides for the third sandpit workshop. Project led by the University of Oxford Bodleian Libraries.

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Research data spring: giving researchers credit for their data

  1. 1. “Carrot” for data deposit  “Submit data paper” button on repository  Researcher gets – Another publication/citation opportunity – (Data preserved)  Publisher gets – More data paper submissions – Better quality (metadata already curated by the repo) – Link referrals from data repositories  Repositories get – More data deposits – Better metadata  Funders get – More re-use – More impact
  2. 2. Phase 1 – Feasibility Study  RDA Publisher Workflow Analysis – Straw Man spec for Helper app/API  Questionnaire for Repositories and Publishers – Confirm requirements – Gauge interest in proposal  Overwhelmingly positive feedback – Offers of collaboration
  3. 3. Schematic Researcher Helper App Data Repo Partial Package (SWORD+) Complete Package (SWORD+) Publisher Data Paper Data Deposit Submit Refs (Zotero) Etc. (Upload) Docs (O360/ G-Docs) Feedback DOI+Metadata
  4. 4. Phase 2 – Proof of Concept  Detailed API Spec (SWORD2/DataCite)  Protoype helper app “Data Paper Companion” – Fedora Repository/Hydra – Sword Client/ServerRuby Gems  Community building – F1000 Research, Elsevier(Data in Brief and Mendeley), ORCID, RDA/THOR – Many more collaboration offers than we could handle ● Figshare, OJS, Dryad, Nature... – Presentations/outreach  Join up with “Streamlining Deposit”
  5. 5. Phase 3 – The Business Case  We started to look for indications of the time this app would save scholars to quantify the possible benefits...  We were expecting to measure efficiency gains of maybe tens of minutes per submission or a bit more...  What we found rather exceeded our expectations!  And explains why everyone was so keen...
  6. 6. #submissionsystems
  7. 7. #datamanagement
  8. 8. Phase 3 - Consolidation  Demonstrate real paper(s) published using the workflow  Join forces with Streamlining Deposit team – UX expertise – Align metadata requirements – Expect repo-led and publication-led workflows to co-exist – Need to “close the loop”  Sustainability – Steering Committee to initiate governance structures – API Spec as a formal publication ● Code as a reference implementation/test harness ● Include generalised version of Streamlining workflow – THOR project – identifier ecosystem for research entities – Jisc shared services – ORCID – Cloud hosting: Azure (Microsoft Research), AWS
  9. 9. Phase 3 - Expansion  Expanding reach/integration – More outreach activities – Updated SWORD modules for EPrints, Dspace, OSP – Work with structured repositories such as EBI, NCBI etc. (domain/data specific) – Take up other publisher offers: Nature, OUP – Datasets in ORCID – Journal Policy Registry as a reference source  Roadmap (not development) for additional use cases – Multiple datasets – Other people's data – Embargoed data (DataShield?) – Automated publication – Not just data papers – REF/Impact friendliness
  10. 10. Resourcing  PI & Project Manager - Lucie Burgess/Neil Jefferies (Bodleian), Fiona Murphy (MMC Ltd) – Community engagement – Overall co-ordination  Lead Developer - Anusha Ranganathan (Digital Nest) – Some hands on development – “Cloud ready” build process for helper app – Primarily co-ordination/support of partner technical efforts  UX Specialist – Stephann Makri (City) – Streamline/optimise Data Paper Companion experience  Technical Author (tbd) – Formal API specification document – Developer guidelines  Partners (F1000Research, Nature, OUP, Elsevier, Figshare, OJS, Microsoft Research etc.) – Outreach, technical partners, Steering Committee, governance