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Open Science at the University of Edinburgh

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University of Edinburgh
University of Edinburgh

How the Research Data Service supports Open Research (aka Open Science) at the University of Edinburgh. Abridged slides used for presentation to Open Access Scotland meeting in Edinburgh on Wednesday 27th of March 2019.

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Open Science Approaches at the University of Edinburgh Pauline Ward Research Data Service Library and University Collections University of Edinburgh
Key points • Openness, scholarship, industry and innovation • Supporting our researchers in doing all aspects of Open Science • What does – and what might – the future hold?
1. CONTEXT
The University of Edinburgh • Research-led institution • Research income over £250 million last year • Mission: the creation, dissemination and curation of knowledge • 13,800 staff (6,800 academic) • 39,500 students • 20 schools in 3 Colleges: • Arts, Humanities & Social Sciences • Medicine & Veterinary Medicine • Science & Engineering
Information Services Directorates • Library & University Collections • Applications • IT Infrastructure • Learning, Teaching & Web • User Services • Information Security • EDINA • Digital Curation Centre Argyle House https://commons.wikimedia.org/wiki/Fi le:Argyle_House_2010.JPG Kim Traynor [CC BY-SA 3.0 (https://creativecommons.org/licenses /by-sa/3.0)]
• Brings together multiple Information Services teams • Provides tools and services for researchers • Trains staff and students on all matters relating to Research Data Management (RDM) • Advises on improvements to University infrastructure to support activities throughout the RDM lifecycle • Supports researchers with data management planning • Provides a helpdesk • Delivers consultancy Research Data Service
Benefits of/drivers for Openness – INTEGRITY, TRANSPARENCY and QUALITY: The evidence that underpins research can be made open for anyone to scrutinise, and attempt to replicate findings. This leads to a more robust scholarly record, and reduces risk of academic fraud – IMPACT and LONGEVITY: Open outputs/resources receive more citations, over longer periods – SPEED: The research process becomes faster overall – DURABILITY: Fewer important datasets will be lost – EFFICIENCY, ACCESSIBILITY and RE-USE: Research can be funded once, and outputs used many times for a variety of purposes. Interested third parties can (where appropriate) access and build upon publicly-funded research outputs with minimal barriers to access
Benefits of Openness: for research Journal of Open Archaeology Data, CC-BY 3.0
Benefits of Openness: other Efficiency Quality & Integrity Innovation & Knowledge Transfer Public Engagement Global Collaboration
City Region Deal • Aims to establish the region as the data capital of Europe, attracting investment, fuelling entrepreneurship and delivering inclusive growth via data-driven innovation • Training 100,000 people in data applications over 10 years http://www.acceleratinggrowth.org.uk/ • Overall investment of £1.1billion from UK and Scottish governments and industry partners • Involves UoE and other regional HEIs & FE colleges
Open Science at the University of Edinburgh
2. ADAPTING EDINBURGH’S PROVISION TO SUPPORT OPEN RESEARCH (OPEN SCIENCE)
First, can we define it? “Open Science is the practice of science in such a way that others can collaborate and contribute, where research data, lab notes and other research processes are freely available, under terms that enable reuse, redistribution and reproduction of the research and its underlying data and methods.” - EU FOSTER Project NOTE: EU references to “science” do cover social sciences, humanities, and to some extent the arts, but the UoE’s preferred term is more likely to be “Open Research”
Constituent parts of Open Science • OA publications • Data sharing • Software preservation • Open notebooks, workflows and methods • Pre-registration • Open peer review • Open hardware • Open rewards/recognition
Constituent parts of Open Science I Mapping them to (our) infrastructure… • OA publications [SCHOLARLY COMMS] • Data sharing [RESEARCH DATA SERVICE, DIGITAL CURATION CENTRE] • Software preservation [SOFTWARE SUSTAINABILITY INSTITUTE] • Open notebooks, workflows and methods [EDINA, RSPACE, OTHERS] (ALL OF THE ABOVE EITHER IN PLACE OR ADVANCED)
(Other related activity at Edinburgh) DCC also heavily involved in: • OpenAIRE • FOSTERplus • European Open Science Cloud • Open Data/Science policy analysis in partnership with SPARC Europe (reference at end) • Expert advice and training for the European Commission, especially around Data Management Plans and Planning (DMP reviews, DMPonline tool, etc)
3. NEXT STEPS AND FUTURE WORK
LERU roadmap
Research Data Service Roadmap • Research Data Service Roadmap: August 2017-July 2020, approved by academic-led steering group. Building on (mostly) success of earlier two Roadmaps, starting 2012 • Divided into five themes – Theme A: Unification of the service - from RDM programme to unified research data service – Theme B: Research data management planning – Theme C: Working with data – Theme D: Sharing and preserving research data – Theme E: Training and support • 32 challenging objectives with associated actions, milestones and deliverables https://www.ed.ac.uk/is/rdm-roadmap
References, resources and links LERU Roadmap for Open Science https://www.leru.org/publications/open-science-and-its-role-in-universities-a- roadmap-for-cultural-change LIBER Open Science Roadmap https://libereurope.eu/blog/2018/07/03/liber-launches-open-science-roadmap/ DCC / SPARC Europe Open Data Policy Analyses https://sparceurope.org/update-analysis-open-data-policies-finds-new-activity- around-oa-od-policies-multiple-countries/ UoE links https://www.ed.ac.uk/is/research-data-service https://www.ed.ac.uk/is/research-data-policy https://www.ed.ac.uk/is/rdm-roadmap
Pauline Ward Research Data Service Library and University Collections University of Edinburgh pauline.ward@ed.ac.uk This work is licensed under the Creative Commons Attribution 4.0 International License. With thanks to Martin Donnelly for allowing me to adapt these slides.

More Related Content

Open Science at the University of Edinburgh

  • 1. Open Science Approaches at the University of Edinburgh Pauline Ward Research Data Service Library and University Collections University of Edinburgh
  • 2. Key points • Openness, scholarship, industry and innovation • Supporting our researchers in doing all aspects of Open Science • What does – and what might – the future hold?
  • 4. The University of Edinburgh • Research-led institution • Research income over £250 million last year • Mission: the creation, dissemination and curation of knowledge • 13,800 staff (6,800 academic) • 39,500 students • 20 schools in 3 Colleges: • Arts, Humanities & Social Sciences • Medicine & Veterinary Medicine • Science & Engineering
  • 5. Information Services Directorates • Library & University Collections • Applications • IT Infrastructure • Learning, Teaching & Web • User Services • Information Security • EDINA • Digital Curation Centre Argyle House https://commons.wikimedia.org/wiki/Fi le:Argyle_House_2010.JPG Kim Traynor [CC BY-SA 3.0 (https://creativecommons.org/licenses /by-sa/3.0)]
  • 6. • Brings together multiple Information Services teams • Provides tools and services for researchers • Trains staff and students on all matters relating to Research Data Management (RDM) • Advises on improvements to University infrastructure to support activities throughout the RDM lifecycle • Supports researchers with data management planning • Provides a helpdesk • Delivers consultancy Research Data Service
  • 7. Benefits of/drivers for Openness – INTEGRITY, TRANSPARENCY and QUALITY: The evidence that underpins research can be made open for anyone to scrutinise, and attempt to replicate findings. This leads to a more robust scholarly record, and reduces risk of academic fraud – IMPACT and LONGEVITY: Open outputs/resources receive more citations, over longer periods – SPEED: The research process becomes faster overall – DURABILITY: Fewer important datasets will be lost – EFFICIENCY, ACCESSIBILITY and RE-USE: Research can be funded once, and outputs used many times for a variety of purposes. Interested third parties can (where appropriate) access and build upon publicly-funded research outputs with minimal barriers to access
  • 8. Benefits of Openness: for research Journal of Open Archaeology Data, CC-BY 3.0
  • 9. Benefits of Openness: other Efficiency Quality & Integrity Innovation & Knowledge Transfer Public Engagement Global Collaboration
  • 10. City Region Deal • Aims to establish the region as the data capital of Europe, attracting investment, fuelling entrepreneurship and delivering inclusive growth via data-driven innovation • Training 100,000 people in data applications over 10 years http://www.acceleratinggrowth.org.uk/ • Overall investment of £1.1billion from UK and Scottish governments and industry partners • Involves UoE and other regional HEIs & FE colleges
  • 12. 2. ADAPTING EDINBURGH’S PROVISION TO SUPPORT OPEN RESEARCH (OPEN SCIENCE)
  • 13. First, can we define it? “Open Science is the practice of science in such a way that others can collaborate and contribute, where research data, lab notes and other research processes are freely available, under terms that enable reuse, redistribution and reproduction of the research and its underlying data and methods.” - EU FOSTER Project NOTE: EU references to “science” do cover social sciences, humanities, and to some extent the arts, but the UoE’s preferred term is more likely to be “Open Research”
  • 14. Constituent parts of Open Science • OA publications • Data sharing • Software preservation • Open notebooks, workflows and methods • Pre-registration • Open peer review • Open hardware • Open rewards/recognition
  • 15. Constituent parts of Open Science I Mapping them to (our) infrastructure… • OA publications [SCHOLARLY COMMS] • Data sharing [RESEARCH DATA SERVICE, DIGITAL CURATION CENTRE] • Software preservation [SOFTWARE SUSTAINABILITY INSTITUTE] • Open notebooks, workflows and methods [EDINA, RSPACE, OTHERS] (ALL OF THE ABOVE EITHER IN PLACE OR ADVANCED)
  • 16. (Other related activity at Edinburgh) DCC also heavily involved in: • OpenAIRE • FOSTERplus • European Open Science Cloud • Open Data/Science policy analysis in partnership with SPARC Europe (reference at end) • Expert advice and training for the European Commission, especially around Data Management Plans and Planning (DMP reviews, DMPonline tool, etc)
  • 17. 3. NEXT STEPS AND FUTURE WORK
  • 19. Research Data Service Roadmap • Research Data Service Roadmap: August 2017-July 2020, approved by academic-led steering group. Building on (mostly) success of earlier two Roadmaps, starting 2012 • Divided into five themes – Theme A: Unification of the service - from RDM programme to unified research data service – Theme B: Research data management planning – Theme C: Working with data – Theme D: Sharing and preserving research data – Theme E: Training and support • 32 challenging objectives with associated actions, milestones and deliverables https://www.ed.ac.uk/is/rdm-roadmap
  • 20. References, resources and links LERU Roadmap for Open Science https://www.leru.org/publications/open-science-and-its-role-in-universities-a- roadmap-for-cultural-change LIBER Open Science Roadmap https://libereurope.eu/blog/2018/07/03/liber-launches-open-science-roadmap/ DCC / SPARC Europe Open Data Policy Analyses https://sparceurope.org/update-analysis-open-data-policies-finds-new-activity- around-oa-od-policies-multiple-countries/ UoE links https://www.ed.ac.uk/is/research-data-service https://www.ed.ac.uk/is/research-data-policy https://www.ed.ac.uk/is/rdm-roadmap
  • 21. Pauline Ward Research Data Service Library and University Collections University of Edinburgh pauline.ward@ed.ac.uk This work is licensed under the Creative Commons Attribution 4.0 International License. With thanks to Martin Donnelly for allowing me to adapt these slides.

Editor's Notes

  1. Investment of up to £1.1bn - Over 10 years, the University and partners aim to train 100,000 people in the application of data across the region’s major industry sectors. It will work with the private and public sectors to grow awareness of data science’s implications. As it takes effect, the programme will enable both established and start-up businesses to capture these opportunities. Five sectoral programmes: •    Research, Development and Innovation •    Employability and Skills •    Transport •    Culture •    Housing
  2. Investment of up to £1.1bn - Over 10 years, the University and partners aim to train 100,000 people in the application of data across the region’s major industry sectors. It will work with the private and public sectors to grow awareness of data science’s implications. As it takes effect, the programme will enable both established and start-up businesses to capture these opportunities. Five sectoral programmes: •    Research, Development and Innovation •    Employability and Skills •    Transport •    Culture •    Housing
  3. 1st, August 2012 –May 2015: Rollout and consolidation of primary services (active storage, open repository); minimally meeting funders’ requirements 2nd, September 2015 – July 2016: Transition from RDM programme to Research Data Service; training programme & DMP support 3rd, August 2017-July 2020: Filling known gaps through major development projects, increasing usage beyond early adopters, tuning the user journey