Research data management in UK universities: A collaborative venture
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Research data management in UK universities: A collaborative venture
- 1. Rachel Bruce, DeputyChief Innovation Officer, Jisc Research data management in UK universities: a collaborative venture 04/06/2015
- 2. What I will cover » What is Jisc ? » Growing pressure of data » The promise of open data » Where the UK is on this journey » What is the role of the library ( & others) 04/06/2015 Congress of University and Research Libraries, Research Data Management in UK Universities, a collaborative venture 2
- 3. 04/06/2015 Congress of University and Research Libraries, Research Data Management in UK Universities, a collaborative venture 3 Mission To enable people in higher education, further education and skills in the UK to perform at the forefront of international practice by exploiting fully the possibilities of modern digital empowerment, content and connectivity Vision To make the UK the most digitally advanced education and research nation in the world
- 4. Four key pillars to Jisc activities 04/06/2015 Congress of University and Research Libraries, Research Data Management in UK Universities, a collaborative venture 4
- 5. Growing pressure of data 2009 04/06/2015 Congress of University and Research Libraries, Research Data Management in UK Universities, a collaborative venture 5 research.microsoft.com/en- us/collaboration/fourthparadigm/4th_paradigm_book_complete_lr.pdf
- 6. 2010 » Develop an international framework for a Collaborative Data Infrastructure » Earmark additional funds for scientific e-infrastructure » Develop and use new ways to measure data value, and reward those who contribute it » Train a new generation of data scientists, and broaden public understanding » Create incentives for green technologies in the data infrastructure » Establish a high-level, inter-ministerial group on a global level to plan for data infrastructure 04/06/2015 Congress of University and Research Libraries, Research Data Management in UK Universities, a collaborative venture 6
- 7. Science as Open Enterprise Report, 2012 » ‘how the conduct and communication of science needs to adapt to this new era of information technology’. » ‘As a first step towards this intelligent openness, data that underpin a journal article should be made concurrently available in an accessible database. We are now on the brink of an achievable aim: for all science literature to be online, for all of the data to be online and for the two to be interoperable.’ » Royal Society June 2012, Science as an Open Enterprise, royalsociety.org/policy/projects/science- public-enterprise/report/ 04/06/2015 Congress of University and Research Libraries, Research Data Management in UK Universities, a collaborative venture 7
- 8. Data for Discovery – RCUK 04/06/2015 Congress of University and Research Libraries, Research Data Management in UK Universities, a collaborative venture 8
- 9. Definitions » “Research data is defined as recorded factual material commonly retained by and accepted in the scientific community as necessary to validate research findings; although the majority of such data is created in digital format, all research data is included irrespective of the format in which it is created.” (Epsrc) » “Research data’ refers to information, in particular facts or numbers, collected to be examined and considered as a basis for reasoning, discussion or calculation….examples of data include statistics, results of experiments, measurements, observations resulting from fieldwork, survey results, interview recordings and images.The focus is on research data that is available in digital form.” (H2020) 04/06/2015 Congress of University and Research Libraries, Research Data Management in UK Universities, a collaborative venture 9
- 10. Open Research Data »Research Integrity and transparency »Re-use, new research and innovation 04/06/2015 Congress of University and Research Libraries, Research Data Management in UK Universities, a collaborative venture 10
- 11. Research Funder Policies 04/06/2015 Congress of University and Research Libraries, Research Data Management in UK Universities, a collaborative venture 11 » Public good: Publicly funded research data are produced in the public interest should be made openly available with as few restrictions as possible » Planning for preservation: Institutional and project specific data management policies and plans needed to ensure valued data remains usable » Discovery: Metadata should be available and discoverable; Published results should indicate how to access supporting data » Confidentiality: Research organisation policies and practices to ensure legal, ethical and commercial constraints assessed; research process should not be damaged by inappropriate release » First use: Provision for a period of exclusive use, to enable research teams to publish results » Recognition: Data users should acknowledge data sources and terms & conditions of access » Public funding: Use of public funds for RDM infrastructure is appropriate and must be efficient and cost-effective RCUK Common Principles on Data Policy rcuk.ac.uk/research/datapolicy/
- 12. Archival data counts »The number of science papers written based on Hubble archival data …has eclipsed the number of papers from new observations 04/06/2015 Congress of University and Research Libraries, Research Data Management in UK Universities, a collaborative venture 12 NASA, ESA and J. Hester (ASU)
- 13. Open data counts »Microarray clinical trial publications examination of citation – 48% with publicly available data received 85% of the aggregate citations. 04/06/2015 Congress of University and Research Libraries, Research Data Management in UK Universities, a collaborative venture 13
- 14. DUDs »The data centre under the desk (or in a back pack) is not adequate. 04/06/2015 Congress of University and Research Libraries, Research Data Management in UK Universities, a collaborative venture 14 Not duds
- 15. On the ground 04/06/2015 Congress of University and Research Libraries, Research Data Management in UK Universities, a collaborative venture 15 Informatics researcher “ yes I will share my data but people should register; & why change to the Open Data Commons licence I have a bespoke licence I have always used” Engineer “I have lots of data but you need a licence to this bespoke software to use it” Bio-scientist “why would I put my data in a repository? I share it informally with my peers, no-one else would understand it.“ Philosopher- “I don’t have data, I annotate books” Social Scientist “I have notes, photos & video and audio of subjects it would take way too long to anonymise it ”
- 16. Promoting and Supporting good RDM 04/06/2015 Congress of University and Research Libraries, Research Data Management in UK Universities, a collaborative venture 16 5 Strands 1. Research Data Management Infrastructure (RDMI) Projects 2. Research Data Management Planning (RDMP) Projects 3. Support andTools Projects 4. Citing, Linking, Integrating and Publishing Research Data (CLIP) Projects 5. Research Data Management Training Materials Projects Jisc first MRD Programme, 2009-2011 (but also 2004 DCC)
- 17. » Ownership: High level ownership of the problem. » Sustainability: Develop business cases to sustain work. Building Institutional Capacity Jisc second MRD Programme, 2011-2013 » Encouraged to reuse outputs from first programme and elsewhere. » Mix of pilot projects and embedding projects. » Holistic institutional approach to RDM. 04/06/2015 Congress of University and Research Libraries, Research Data Management in UK Universities, a collaborative venture 17 Institutional RDM Infrastructure services 17 projects Data publication 3 projects RDM planning 10 projects RDM training 5 projects
- 18. Research Data Management Case Studies, 2015 04/06/2015 Congress of University and Research Libraries, Research Data Management in UK Universities, a collaborative venture 18
- 19. A multi-pathway approach to training 04/06/2015 Congress of University and Research Libraries, Research Data Management in UK Universities, a collaborative venture 19 » Module and course profiles » Level » Themes » Workshops » Labs » Online » Point of need » Progression pathway » Modular » PGR Directors » Programme and module leaders » Supervisors » PGR & ECR researchers Content Mode People Time
- 20. Russell Group (39) Others 10%+ (35) Others (13) Survey of 61 Universities on RDM 04/06/2015 Congress of University and Research Libraries, Research Data Management in UK Universities, a collaborative venture 20
- 21. 0 10 20 30 40 50 60 70 80 Most advanced areas 04/06/2015 Congress of University and Research Libraries, Research Data Management in UK Universities, a collaborative venture 21 % indicating piloting or live RMD skills training and consultancy Data management and sharing plans Policy development
- 22. 19 20 21 22 23 24 25 26 Least progress 04/06/2015 Congress of University and Research Libraries, Research Data Management in UK Universities, a collaborative venture 22 % indicating piloting or live Governance of data and access reuse Digital preservation and continuity planning Business planning and sustainability
- 23. 71 64 59 0 10 20 30 40 50 60 70 80 Barriers to progress 04/06/2015 Congress of University and Research Libraries, Research Data Management in UK Universities, a collaborative venture 23 % citing Low priority for researchers Availability of funding Lack of appropriate resources and infrastructure
- 24. 13/07/2015 Title of presentation (Go to ‘View’ menu > ‘Header and Footer…’ to edit the footers on this slide) 24
- 25. Data infrastructure for sensitive data Safe share: » Encrypted VPN infrastructure between organisations; enhanced confidentiality and integrity per ISO27001 » Requirement to move electronic health data securely and support research collaboration » Working with biomedical researchers at Farr Institute, MRC Medical Bioinformatics initiative, ESRC Administrative Data Centres 04/06/2015 Congress of University and Research Libraries, Research Data Management in UK Universities, a collaborative venture 25
- 26. Storage # 1 04/06/2015 Congress of University and Research Libraries, Research Data Management in UK Universities, a collaborative venture 26 » Dynamic purchasing system » Offering file sharing products typified by vendors such as Dropbox » Enhanced products available offering: › EEA (European Economic Area) storage - for Data Protection compliance › user managed encryption - encryption keys are managed by the customer › integrated federated access - end users can access services using institutional issued credentials » Box; Microsoft;Q Associates; Capito currently on the system File sync and share:
- 27. Storage # 2 04/06/2015 Congress of University and Research Libraries, Research Data Management in UK Universities, a collaborative venture 27 » A single supplier framework with Arkivum » secure, easy-to-use and cost-effective data archiving service for research and education › 100% data integrity guarantee › 2 UK stored data copies accessible online › 1 UK stored copy held with 3rd party ESCROW data holding company. › £5m - £100m professional indemnity insurance › ISO 27001 compliance › 10 year framework to December 2023 Data archiving:
- 28. Storage (& preservation) #3 A gap? » Many different research domain and institution approaches to storage provision » Is there a requirement for national scale storage facilities and services? » e.g A national large scale, on-net, ‘on-line / near on-line’, possibly complementing close- coupled on-site storage, preservation? » To complement the focus on data standards, interoperability and discoverability 04/06/2015 Congress of University and Research Libraries, Research Data Management in UK Universities, a collaborative venture 28
- 29. Research systems 04/06/2015 Congress of University and Research Libraries, Research Data Management in UK Universities, a collaborative venture 29 0 50 100 0 50 100 Research Systems Provided Outputs Registered in CRIS Institutional Repositories CRIS File sync/share Data registry/catalogue Archival/preservation systems Software repositories Traditional research outputs (articles etc.) Archived data (%) Active data (%)
- 30. Research data storage 04/06/2015 Congress of University and Research Libraries, Research Data Management in UK Universities, a collaborative venture 30 0% 50% 100% 150% <100 TB 100-499 TB 500-999 TB 1PB+ 0 50 100 150 Archived Data Active Data RD storage capacity RD storage provision Current active Planned active (3yrs) Current archive Planned archive (3yrs) Centrally Other Disciplinary faculty Unsure
- 31. Providing services 04/06/2015 Congress of University and Research Libraries, Research Data Management in UK Universities, a collaborative venture 31
- 32. Functions of an Institutional RDM Service Institutional coordination and partnerships 1. Requirements 2. Planning 3. Informatics 4. Citation 5. Training 6. Licensing 7. Appraisal 8. Storage 9. Access 10. Impact 04/06/2015 Congress of University and Research Libraries, Research Data Management in UK Universities, a collaborative venture 32 Liz Lyon, ‘The InformaticsTransform: Re-Engineering Libraries for the Data Decade’, International Journal of DigitalCuration (2012), 7(1), 126–138; dx.doi.org/10.2218/ijdc.v7i1.220
- 33. Research Data Ecology 04/06/2015 Congress of University and Research Libraries, Research Data Management in UK Universities, a collaborative venture 33 Professor Geoffrey Boulton
- 34. And we need to go further “Science is broken” Examples: » psychology academics making up data, » anaesthesiologistYoshitaka Fujii with 172 faked articles » Nature - rise in biomedical retraction rates overtakes rise in published papers 04/06/2015 Congress of University and Research Libraries, Research Data Management in UK Universities, a collaborative venture 34 “economists have been astonished to find that a famous academic paper often used to make the case for austerity cuts contains major errors. Another surprise is that the mistakes, by two eminent Harvard professors, were spotted by a student doing his homework” bbc.co.uk/news/magazine-22223190
- 35. 04/06/2015 Congress of University and Research Libraries, Research Data Management in UK Universities, a collaborative venture 35
- 36. 04/06/2015 Congress of University and Research Libraries, Research Data Management in UK Universities, a collaborative venture 36
- 37. A journey together 04/06/2015 Congress of University and Research Libraries, Research Data Management in UK Universities, a collaborative venture 37
- 38. Find out more… 04/06/2015 Congress of University and Research Libraries, Research Data Management in UK Universities, a collaborative venture 38 Thank you! Rachel Bruce Email: email@jisc.ac.uk Twitter: jisc.ac.uk Blog: researchdata.jiscinvolve.org/wp/ Except where otherwise noted, this work is licensed under CC-BY-NC-ND
Notas del editor
- Digital content: We provide institutions, their students and researchers secure, cost-effective access to the UK’s richest collection of digital resources. Network and IT: We provide the HE sector with Janet, the Jisc network, advanced infrastructure services and collaboration platforms. Advice: We listen to our members to ensure we offer them quality support, guidance and tools - estimated to save the sector £122 million in cost efficiencies each year. R&D: Identifying emerging technologies and developing them around our members’ needs. Testing and learning on their behalf to ensure they are ready to take advantage
- Published 2009
- Swan (Omega) Nebula Resembling the fury of a raging sea, this 13th anniversary Hubble image actually shows a bubbly ocean of glowing hydrogen gas and small amounts of other elements such as oxygen and sulfur. The photograph captures a small region within M17, also known as the Omega or Swan Nebula, a hotbed of star formation Since the earliest days of astronomy, since the time of Galileo, astronomers have shared a single goal — to see more, see farther, see deeper. The Hubble Space Telescope's launch in 1990 sped humanity to one of its greatest advances in that journey. Hubble is a telescope that orbits Earth. Its position above the atmosphere, which distorts and blocks the light that reaches our planet, gives it a view of the universe that typically far surpasses that of ground-based telescopes. Hubble is one of NASA's most successful and long-lasting science missions. It has beamed hundreds of thousands of images back to Earth, shedding light on many of the great mysteries of astronomy. Its gaze has helped determine the age of the universe, the identity of quasars, and the existence of dark energy. access the sensitive and potentially disclosive data from the Community Innovation Survey (in a dataset known as the UK Innovation Survey) remotely via a secure server. The researchers developed the hypothesis that knowledgeable individuals (such as inventors) with the flexibility to change geographical location, would positively impact the innovative behaviour of firms in the areas they moved to. The empirical results demonstrated that the relocation of these individuals does not have a direct impact on the firms' innovation: a positive effect emerges only after controlling for the capability of local firms to exploit external sources of information (such as suppliers, clients, customers, competitors, other businesses in the industry, consultants, commercial labs and private R&D institutes). Only those firms who complemented their internal knowledge with external sources were able to benefit from the arrival of highly-skilled individuals into the local labour market, improving their innovative performance. Hubble Telescope "The number of science papers written based on Hubble archival data has increased to the point where it has eclipsed the number of papers resulting from new observations." Hubble Racks up 10,000 Science Papers (Dec 2011) http://hubblesite.org/newscenter/archive/releases/2011/40/image/a/ Astronomers Find Elusive Planets in Decade-Old Hubble Data http://www.nasa.gov/mission_pages/hubble/science/elusive-planets.html The number of science papers written based on Hubble archival data has increased to the point where it has eclipsed the number of papers resulting from new observations. Hubble's archive contains data from over 1 million exposures. This astronomical treasure trove will serve as a key "data mine" serving generations of astronomers for decades to come, long after Hubble has stopped operations. The first science paper from a Hubble observation was submitted on October 1, 1990, by Tod Lauer of the National Optical Astronomy Observatory in Tucson, Ariz. This paper reported observations of the environment around a suspected black hole in the core of galaxy NGC 7457. Data from Hubble's longest operating camera, the Wide Field Planetary Camera 2 (which was active from 1994 to 2009), was used for nearly half of the papers. The next most highly ranking instrument is the Advanced Camera for Surveys, which was installed in 2002 and is still operating. This is followed by three other top-ranking instruments: the Space Telescope Imaging Spectrograph, the Near Infrared and Multi-Object Spectrograph, and the Faint Object Spectrograph.
- Sharing Detailed Research Data Is Associated with Increased Citation Rate http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0000308 Sharing research data provides benefit to the general scientific community, but the benefit is less obvious for the investigator who makes his or her data available. They examined the citation history of 85 cancer microarray clinical trial publications with respect to the availability of their data. The 48% of trials with publicly available microarray data received 85% of the aggregate citations. Publicly available data was significantly associated with a 69% increase in citations, independently of journal impact factor, date of publication, and author country of origin using linear regression. This correlation between publicly available data and increased literature impact may further motivate investigators to share their detailed research data. http://blogs.bournemouth.ac.uk/research/files/2014/05/bibliometrics.jpg
- “People will ask questions” So use a data centre or repository “It will be misinterpreted” Stuff happens. Also, openness encourages correction “It’s not interesting” Let others be the judge – your noise is my signal “I might get another paper out of it” Up to a point. We might get more research out of it “I don’t have permission” A real problem. But solvable at senior level “It’s too bad/complicated” –see above “It’s not a priority” Unfortunately, funders are making it so. But if you looked at the evidence, it would be your priority as well http://datapub.cdlib.org/2013/04/24/closed-data-excuses-excuses/ With thanks to Kevin Ashley (DCC) for responses
- Talk about the overall benefits.
- Survey of universities in 2014, the results were collated in April 2014. Aimed to give a national picture of UK university progress, and to identify gaps. Targeted VC for Research, Heads of IT, Libraries, Research Support in universities where research income was 10 % of the overall income or above.
- It also told us that RDM was mainly led via the Library but there were significant roles for IT & Research Offices & it is a truly cross HEI endeavour. That researchers are involved in the high level oversight groups and consulted – for both 75%. But it is a low priority for researchers. That there is a contrast in storage provision – around a third provide a quota to all active research staff, and around third haven’t settled this yet and it is still being debated. That half of the respondents were not clear whether they would be providing free at the point of use storage to researchers by May 2015. By May 2015 HEIs expected between 3- 5 FTEs dedicated to RDM across many areas – library, IT, faculties.
- Mission: Realising a robust and sustainable research data management infrastructure and services to enrich UK research With a focus on: open agenda, collaboration and internationalisation, digital standards and policies
- “File sync and share” is shorthand for sharing files among multiple users and devices, and synchronizing the shared files to retain file integrity. The process is very familiar to most users as a consumer-level file sharing application, typified by vendors like Dropbox. However, consumer-level file sharing is not nearly as popular with enterprise IT. The lack of IT management is a big issue: IT knows that it should establish control over corporate data that is flying around the globe on personal devices. They need to be able to supervise data retention, versions, security, controlled access, and policies to administer the management environment. Consumer-level file sharing does not support centralized control over distributed file sharing. The lack of security and compliance with consumer-grade services is another legitimate issue. When files are stored in the cloud, IT’s security concerns ratchet up. And when business data is stored on thousands of mobile devices – you do the math. Consumer-grade file sharing products have some security but usually lack strong encryption and user access control. They also lack the ability for IT to set and enforce security policies for shared files.
- Data is the universal scientific material Software is the universal scientific research instrument And a material. And a method. The Lab and the eLab, together Software is an instrument, a material, a method. Materials (data) + Methods (software)
- Data is the universal scientific material Software is the universal scientific research instrument And a material. And a method. The Lab and the eLab, together Software is an instrument, a material, a method. Materials (data) + Methods (software)
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