Rachel Bruce UK research and data management where are we now
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Transcript of Rachel Bruce UK research and data management where are we now
The UK and Research Data Management: where are we?Rachel Bruce, Jisc
Structure • Give some context to the meeting & an overview mainly focused on
universities
• Policy drivers & context
• Elements of the infrastructure (people, policy and services )
• Findings on the progress of universities
• Gaps
• Some emerging solutions
Research Data Directions for Universities 2
Policy & 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)
Research Data Directions for Universities 3
» 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
Research Data Directions for Universities 4
http://www.rcuk.ac.uk/research/datapolicy/
RCUK Common Principles on Data Policy
HEFCE:• Where an HEI can demonstrate that it has taken steps towards
enabling OA for outputs beyond just articles and conference proceedings, credit will be given in the research environment component of post 2014 REF.
H2020: • Develop a Data Management Plan• Deposit in a research data repository• Make it possible for third parties to access, mine, exploit, reproduce
and disseminate data; free of charge for any user• Provide information on the tools and instruments needed to validate
the results
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» “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.”
Science as an Open Enterprise Report, 2012Research Data Directions for Universities 6
The Royal Society, UK
http://royalsociety.org/policy/projects/science‐public‐enterprise/report/
» A shift away from a research culture where data is viewed as a private preserve» Expanding the criteria used to evaluate research to give credit for useful data communication and novel ways of collaborating
» The development of common standards for communicating data» Mandating intelligent openness for data relevant to published scientific papers» Strengthening the cohort of data scientists needed to manage and support the use of digital data (which will also be crucial to the success of private sector data analysis and the government’s Open Data strategy)
» The development and use of new software tools to automate and simplify the creation and exploitation of datasets
Science as an Open Enterprise ReportResearch Data Directions for Universities 7
Six key challenges
UK Open Research Data Forum: Research Data Concordat
Research Data Directions for Universities 8
See the draft …
Data Management Planning
Selection and RetentionDeposit Tools
Advocacy, Guidance, Training and Support
RDM Policy and Roadmap Business Plan and
SustainabilityResearch Data
Registry
Research Data Management Support Service
Data Repositories/Catalo
gues
Managing Active Data
Research Data Directions for Universities 9
Research Data Directions for Universities 10
Russell Group (39)
Others 10%+ (35)
Others (13)
From 61 institutions
Most advanced areas
Research Data Directions for Universities 11
0 20 40 60 80
% indicating piloting or live
Research Data Directions for Universities 12
32 34 36 38 40 42
Access & storage systems
Data cataloguing &publishing
Managing implementationas a whole
% indicating piloting or live
Least progress Research Data Directions for Universities 13
18 20 22 24 26
Business planning &sustainability
Digital preservation &continuity planning
Governance of dataaccess & reuse
% indicating piloting or live
Expected timeline for enabling long‐term access to research data
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18
3
9
44
40
38
31
43
38
8
14
14
Russell Group
Others 10%+
Others
Currently provide
Within the next 12monthsAfter 12 months
Barriers to progressResearch Data Directions for Universities 15
Lack of appropriate staffresources and infrastructure
Availability of funding
Low priority for researchers
71
64
59
% citing
Do you intend to archive your data with a data centre or repository?
Reasons why not:• It is not something I had ever considered ‐ 42%• It is not something my funder requires ‐ 35%• There isn't a suitable data centre for my discipline – 18%
University of York, Jen Mitcham
Gaps & need for external supportAdvocacy to senior management
Clarify costs from grants
Defining what research data the HEI should retain & for what period
Support metadata creation for discovery
Tools & infrastructures for data management
or preservation
Developing data catalogues & registers
Research Data Directions for Universities 17
Gaps – sharing
Collective work with software user groups, common metadata, interoperability, storage.
Shared storage
Shared training
Dialogue on incentivising researchers
Develop data scientist role between library
and researchers
Share practice, exchange events
Research Data Directions for Universities 18
“ lack of recognition that a national rather than an institutional approach would save everyone time and resource”
Research at Risk – some of the gaps (there were others identified!) • Storage.
• Metadata.
• Preservation.
• Defining compliance.
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R@R:Support
take up of citation
R@R: DMP
registry
DMP OnLine
R@R: business case & costs
20
Standards; policies;
coordination & cooperation.
EASY ACCESS
Data identifiers
Access & security
Researcher/organisational
identifiers
Funders policies
Deposit protocols
Advice & guidance/good
practice
R@R:UK Research
Data Discovery (metadata)
R@R: metrics & usage data
service
Cardio planning
tool
R@R:RD Experiments
& prototypes
UKDS/Institutional repositories
R@R: shared PreservationRepositories(metadata)
Digital CurationCentre
Open Training Materials in Jorum
Shared data centre
Jisc Research Data Infrastructure
R@R: comprehensive
tool-kit; case studies
Sherpa Juliet Funder policies
R@R: Journal Policy
registry
R@R: EPSRC support
R@R: RD Experiments &
Prototypes, &BRISSkit
Research Data Directions for Universities
So….• If we’re driven solely by compliance will we miss
some other important issues ?
• This is new & challenging –
there aren’t answers yet to everything
• Lots of ideas and effort – can we be
more efficient and effective?
• Prioritise? Quick wins ?
• What might we want to influence –
policy? standards? who & how?
• Build on what we have
(there is good progress in the UK)
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Final thought – DataPool, Southampton University “…it is clear that the issues surrounding research data management are becoming more complex rather than less. We now understand much more about the range of data to be managed, its size and sophistication and the expectations of researchers to manage workflows and share data. We also know that at institutional level the requirements of government and funders are placing potentially significant financial costs on institutions which they are finding challenging to discharge in the present financial climate.”
Research Data Directions for Universities 22
Research Data Directions for Universities 23
Thank you!
Contact: [email protected]
Twitter: rachelbruce
Acknowledgements: Angus Whyte of DCC who undertook the survey,
and cogdog flickr cc‐by‐sa for the images, notes from John Milner on storage.