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
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Open Science: how to serve the needs of the researcher?
- 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. Team Science …….Of Individuals Collaborating and Competing Simultaneously Commons Egosystem One Scholarly support team pretty please Library + IT + Researchers Joint Enterprise
- 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. 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. 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. 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. 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. Reproducible Releasing Provenance Dependencies Versions Checklists Robustness Portability Transparent Processes Analogous to software products & practices rather than data or articles
- 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. 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
- 12. Squaring the FAIR Circle
- 13. 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
- 18. Scholarly Commons The Scholarly Commons - principles and practices to guide research communication, 2017
Notes de l'éditeur
- Session 1 https://www.eventsforce.net/jiscevents/media/uploaded/EVJISCEVENTS/event_234/Jisc_CNI_roundtable_final.pdf Discussion 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 Three stimulation lightning talk Elizabeth Gadd Lessons from the journal market and research systems Rachel Bruce Elements required to underpin the principles of a sustainable scholarly infrastructure Carole Goble Open Science: how to serve the needs of the researcher?
- private safe spaces on shared installations. private installations. Most data won’t be shared Wrong experimental method Hidden parameter discovered Faulty experiment Safe havens You share and collaborate with (a) your mates and (b) people you want something off. How open How much How much cleaned up From preservation in the middle to packaging to exchange and sharing on the outside Family, friends, acquaintances, strangers
- Me-Science, We-Science, not You-Science
- Train yourself and your team Write for strangers Develop a Software Management Plan Publish your code Get expert help Much research software development is not formally planned Developed to solve a research question Evolved rather than planned Even larger research software projects tend to be driven by a single person to start Software Management Plans are a way of thinking through the process of running a research software development project Make source code publicly accessible from day one Make software easy to discover by providing software metadata via a popular community registry Adopt a licence and comply with the licence of third-party dependencies Describe clear and transparent contribution, governance and communication processes
- Herbert Eduroam for storage Openness is not the ends it’s the means Harvest from researcher into repositories – pull not push – automated deposition (from FAIRDOM) Reduce scope to get concrete action Geoffry Bilder - Stability Centralisation always happens to help with scale and ease of use Don’t be surprised!! Distributed infrastructure has to be centralised. Deal with it and create procurement norms Commercial orgs do that – without undermining the system Provide commercial need – what are the ground rules for demand PROCUREMENT issues. Google, Dropbox IMS Global Commoditisation Don’t hide the process – it’s the tax for access Funders DO fund infrastructure just do it really badly What if we funded electricity like research infrastructure
- FAIR principles for the research metrics
- Science 2.0 Repositories: Time for a Change in Scholarly Communication Massimiliano Assante, Leonardo Candela, Donatella Castelli, Paolo Manghi and Pasquale Pagano Istituto di Scienza e Tecnologie dell'Informazione, Consiglio Nazionale delle Ricerche, Italy {assante, candela, castelli, manghi, pagano}@isti.cnr.it DOI: 10.1045/january2015-assante
- Commons Production Incentives Fame Love Money Side effect (nudge theory) The Nobel judges’ decision in October 2017 to bestow their award on professor Richard Thaler underlines how prominent and influential nudge theory has become. The term came to the fore in 2008 with the publication of Nudge: Improving Decisions About Health, Wealth and Happiness, the bestselling book on behavioural economics Thaler co-wrote with high-profile legal scholar Cass Sunstein.
- Scholarly commons
- Things we think are on solid ground – Orcid, Arxive Connect figshare, OSF etc