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Open Science: how to serve the needs of the researcher?

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Open science Jisc CNI roundtable 2018
Lightning talk
What should the future look like?
What are the essential characteristics we desire in a relatively near future system to support scholarly communication across the full research life cycle?
What are the key areas requiring attention, action, or investment today to reach the future that we want to reach?
What are the best opportunities to build upon existing practices, investments and infrastructure, both
open and commercially provided?
Where must alternatives be developed?
What areas are already on good trajectories and can be left to evolve without additional intervention

Published in: Science
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Open Science: how to serve the needs of the researcher?

  1. 1. Open Science: how to serve the needs of the researcher? Professor Carole Goble The University of Manchester, UK Head of Node ELIXIR-UK Chair FAIRDOMAssociation Software Sustainability Institute FAIR Research Commons Jisc-CNI Round Table, 3 July 2018, Oxford UK
  2. 2. Team Science …….Of Individuals Collaborating and Competing Simultaneously Commons Egosystem One Scholarly support team pretty please Library + IT + Researchers Joint Enterprise
  3. 3. X = data, software, method, article I can access your X Your X is (re)usable by me and with my tools/data I get credit for using your X You can’t use my X Only access/use my X if I say so I have resources and skills to make my X reusable and reproducible and credit for this I get credit if you use X Someone else will paying for its stewardship and archiving. It will always be there & free for me. Fulfilling yet Maturing this view.
  4. 4. me ME my team close colleagues peers Staged Open (Access) Spiral & Benefits organisation – collaboration - dissemination The number of assets reduces The richness of metadata needed increases As reach of sharing increases and burden of work increases Staged sharing
  5. 5. Commons Ecosystem Navigating complexity at each level • Handling distributed repositories and archives • Different products and datatypes: software, models, data, catalogues, tools…. • Navigating the complexity Global Public Good Personal, Private Good Institutional Community Organisational Good Knowledge Exchange Report: http://www.knowledge-exchange.info/event/ke-approach-open-scholarship The ‘last mile’ challenge for European research e-infrastructures https://doi.org/10.3897/rio.2.e9933
  6. 6. Commons Ecosystem Navigating complexity at each level 101 Innovations in Scholarly Communication - the Changing Research Workflow, Boseman and Kramer, 2015, http://figshare.com/articles/101_Innovations_in_Scholarly_Communication_the_Changing_Research_Workflow/1286826
  7. 7. De-contextualised Static, Fragmented Lost Semantic linking Contextualised Active, Unified Semantic linking Buried in a PDF figure Reading and Writing Scattered…. Fragmented Work & Dissemination
  8. 8. Reproducible Releasing Provenance Dependencies Versions Checklists Robustness Portability Transparent Processes Analogous to software products & practices rather than data or articles
  9. 9. “Getting it published, not getting it right” Matt Spitzer, COS, Jisc-CNI Leadership Conference 2018 “Sloppy ScienceWins” John Ioannidis, Stanford School of Medicine, Open Science Fair, Athens 2017 Personal productivity Retention & Reuse Publish driven Public Good Sharing & Reproducibility Access driven People depend on my software / data ?! But I’m a researcher… not a service provider
  10. 10. Five steps to better software/data to better research Get Expert Help Train yourTeam Publish your Data/Code Develop a Software /Data Management Plan Write for strangers
  11. 11. Squaring the FAIR Circle
  12. 12. Research Infrastructure Services Assemble Methods, Materials Experiment ObserveSimulate Analyse Results Quality Assessment Track and Credit Disseminate Deposit & Licence Marketplace Services Share Results Manage Results Any research product Selected products Science 2.0 Repositories:Time for a Change in Scholarly Communication Assante, Candela,Castelli, Manghi, Pagano, D-Lib 2015 Elsewhere, on-date Within, during Portable automated reproducible methods Supporting collaborations to make & exchange FAIR content Credit for all products Credit for quality products Blending the Loops
  13. 13. Professional Stewardship Ramps & Open Interfaces Cultural Disruption Funding models that work
  14. 14. Examples Data2Paper
  15. 15. Scholarly Commons The Scholarly Commons - principles and practices to guide research communication, 2017

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