Transcript RDMRose: Research Data Management for LIS Session 1 Introductions, RDM, and the role of LIS Session 1.2 RDM basics RDM basics Session 1.2 Nov-15 Learning material.

RDMRose: Research Data Management for LIS
Session 1 Introductions, RDM, and the role of LIS
Session 1.2 RDM basics
RDM basics
Session 1.2
Nov-15
Learning material produced by RDMRose
http://www.sheffield.ac.uk/is/research/projects/rdmrose
Learning outcomes
• At the end of this session you will be able to:
– Discuss the definition of “Research Data
Management” and “Digital curation”
– Describe the strategic context within which RDM
has appeared on the agenda and the key drivers
and issues for researchers
Nov-15
Learning material produced by RDMRose
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Session overview
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RDM definition
Digital curation definition
Context
Incentives
Issues for researchers
Nov-15
Learning material produced by RDMRose
http://www.sheffield.ac.uk/is/research/projects/rdmrose
What words to you associate with RDM?
ACTIVITY 1.2.1
Nov-15
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Activity 1.2.1 What words do you
associate with RDM?
Nov-15
Learning material produced by RDMRose
http://www.sheffield.ac.uk/is/research/projects/rdmrose
Some words that have been suggested
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Storage
Preservation
Reuse
Accessibility
Data Management
Plans
Nov-15
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Unknown
Forbidding
Exciting
Boring
Technical
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RDM definition
• “Research data management concerns the
organisation of data, from its entry to the
research cycle through to the dissemination
and archiving of valuable results.” (Whyte &
Tedds, 2011)
Nov-15
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Digital curation definition
• “Digital curation, broadly interpreted, is about maintaining and
adding value to a trusted body of digital information for current and
future use.” (DCC, n.d. b, p. 6)
– Linking content
– Managing digital material from the point it is created
– Destruction
• Beyond archiving and preservation
• “Digital curation is concerned with actively managing data for as
long as it continues to be of scholarly, scientific, research and/or
administrative interest, with the aim of supporting reproducibility of
results, reuse of and adding value to that data, managing it from its
point of creation until it is determined not to be useful, and
ensuring its long-term accessibility and preservation, authenticity
and integrity.” (DCC, n.d. b, p. 6)
Nov-15
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Context
• “Data deluge”
– eScience, cyberscholarship, e-research
– Collaborations
– Multiple forms of complex data
– Huge cost of research
• National policy
– Data Protection Act, Freedom Of Information Act
compliance
• Funders’ mandates
Nov-15
Learning material produced by RDMRose
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Position of the funders
• Funders’ mandates
– A key landmark for the UK was EPSRC’s
requirement that every institution seeking funding
needed a roadmap to compliance by 1st May 2012
and actual compliance by 1st May 2015.
– NSF requirements key in USA
Nov-15
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Institutional policy
Whyte & Tedds (2011) identify that institutional policy is likely
to
• “Identify areas of responsibility for the institution and for
researchers
• Commit the university to develop appropriate guidelines,
training and support, including mechanisms and services
for storage and backup
• Support deployment of data repositories and/ or
mechanisms for registering metadata about research data
• Recognise that management and curation of research data
requires cooperation and coordination with research
funders, and with existing national and international
providers of data services and subject-based repositories”
Nov-15
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Incentive 1: Direct benefits to scientist
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Improve the quality of research data
Provide access to reliable working data
Allow conclusions to be validated externally
Apply good record-keeping standards to data capture including in lab and field
electronic notebooks, which enables scientists to draw conclusions from reliable
and trustworthy working research data
Enable large amounts of data to be analysed and developed across different
locations by maintaining consistency in working practices and interpretations
Manage relationships between different versions of dynamic or evolving datasets,
and facilitates linkage with other related research and between primary, secondary
and tertiary data
Ensure valuable knowledge and data originating from short-term research projects
does not become obsolete or inaccessible when funding expires
Allow data sets to be combined in new and innovative ways
Nov-15
Learning material produced by RDMRose
http://www.sheffield.ac.uk/is/research/projects/rdmrose
Incentive 2: ‘Public good’ obligations
• Demonstrate Return on Investment
• Open Access
Nov-15
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Incentive 3: Compliance reasons
• Compliance with funding body requirements
• Legal requirements
• Publishers’ requirements
Nov-15
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The RDM agenda
• There may also be a data security incentive.
• Beagrie and Pink (2012) analyse the benefits
of RDM to different stakeholders
• It is not clear how far these different
incentives are temporarily or permanently
aligned.
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Issues for researchers
• The nature of data
• How important is it relative
to doing the research;
projects only get short term
funding
• Authority structures in
universities; the social
organisation of research
• Is infrastructure available?
• Lack of RDM knowledge and
skills
• No checking of compliance
Nov-15
• Legal, ethical and
commercial motives
• Desire to keep control over
data
• Informal sharing practices
already exist
• Lack of reuse culture
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The researcher’s viewpoint
ACTIVITY 1.2.2
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Activity 1.2.2 The researcher’s
viewpoint
• Which issues with RDM are the most critical
barriers in your opinion?
• Which of the arguments in favour of RDM
would play best with researchers?
Nov-15
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SOURCES AND REFERENCES
Nov-15
Learning material produced by RDMRose
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Sources
• Slides incentives 1-3 are based on DCC (n.d. a).
Nov-15
Learning material produced by RDMRose
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References
• Beagrie, N. and Pink, C. (2012). Benefits from Research
Data Management in Universities for Industry and Not-forProfit Research Partners. Charles Beagrie Ltd and University
of Bath. Retrieved from http://opus.bath.ac.uk/32509/ .
• DCC (n.d. a). DC101: Incentives for digital curation.
Edinburgh: Digital Curation Centre. Retrieved from
http://www.dcc.ac.uk/webfm_send/433.
• DCC (n.d. b). DC 101: What is digital curation? Edinburgh:
Digital Curation Centre. Retrieved from
http://www.dcc.ac.uk/webfm_send/437.
• Whyte, A., & Tedds, J. (2011). Making the case for Research
Data Management. Edinburgh: Digital Curation Centre.
Retrieved from http://www.dcc.ac.uk/webfm_send/487.
Nov-15
Learning material produced by RDMRose
http://www.sheffield.ac.uk/is/research/projects/rdmrose