UKOLN is supported by:

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Monica Duke m.duke_at_ukoln.ac.uk Project Manager,
SageCite Project http//blogs.ukoln.ac.uk/sagecite
/ sagecite JISC Digital Preservation Benefits
Tools Project Dissemination workshop Tuesday 12th
July 2011, London South Bank University
UKOLN is supported by
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Overview

• What is the SageCite project
• What is Sage Bionetworks
• Specifics of this case study
• Outcomes of applying the tool
• Next steps
• What weve learnt

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• Citation in the domain of disease network
  modelling
• Funded August 2010 July 2011

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SageCite project overview

• Review of data citation (issues, technology)
• Understanding the domain
• Sage Bionetworks partners in project
• Site visit
• Documenting processes (workflow tools)

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SageCite project overview

• Demonstrator
• Adding support for data citation
• Using DataCite services
• Working with publishers
• Benefits analysis KRDS Taxonomy

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Sage Bionetworks overview

• US-based non-profit organisation
• Creating a resource for community-based,
  data-intensive biological discovery
• Community-based analysis is required to build
  accurate models
• www.sagebase.org

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Sage data and processes

• The idealised Sage modelling process can be
  divided into 7 stages
• A combination of phenotypic, genetic, and
  expression data are processed to determine a list
  of genes associated with diseases
• Different people are responsible for different
  stages of the modelling process. One person
  oversees the whole process.

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(No Transcript)
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Additional steps for citing data
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Slide by Jonathan Derry Sage Bionetworks
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Slide by Lara Mangravite Sage Bionetworks
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Case Study summary

• Case Study undertaken by a project
• Based on an organisation whose main
  business/expertise is science
• Immature stage of addressing digital asset
  management
• Citation focus for benefits analysis
• Earlier version of the Benefits Tools

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Benefits of Data Citation (Direct)

• Better discovery of network models
• citation makes the model explicit and creates a
  link between the model and parameters on which
  discovery services can be based e.g. contributor
  names help in building a service which can find
  all models linked to a specific researcher.
• Better access
• a citation can provide information and mechanisms
  to locate and retrieve network models.

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Benefits of Citation (Indirect)

• Increasing trust and reproducibility of research
• Research assessment metrics
• Assessment is more equitable
• Improved career development path
• The public has more trust and belief in the work
  of scientists
• Enabling more inclusive research metrics
• improves the range of metrics that are considered.

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Benefits of citation (Near Term)

• In the short term, more of the people in the
  value chain producing the models benefit if all
  types of contributions are attributed (more
  equitable attribution)
• Machine readibility
• Recognition for contributors as early pioneers in
  data contributions
• Journal articles are able to provide more of the
  evidence supporting the article. 

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Slide by Lara Mangravite Sage Bionetworks
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Benefits of citation (Longer Term)

• Wider interdisciplinary work
• the concept of interdisciplinarity will grow but
  that is a longer term benefit
• Scholarly record enriched for future generations
• better able to understand development of methods
  and data over time (how we got here) because of a
  stronger evidence base.
• Longer-term track record and reputation of
  contributors grows over time.
• Cumulative metrics can be computed and different
  metrics can be devised.

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Benefits (Internal project)

• Funders (JISC) citation of data in one domain
  helps to inform future programs and transfer of
  lessons to other domains.
• Policy makers informs policy on what metrics to
  include in their assessments.
• Sage bionetwork scientists and network team
  larger range of measures for assigning credit for
  contributions becomes possible.
• Datacite/BL a complex case study to inform
  technical development Sage Bionetworks for
  improving their infrastructure
• Nature/PLoS (publishers) papers can be
  validated strengthens the peer-review process a
  stronger evidence base supports the article.

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Benefits (External)

• Society better disease treatments in the longer
  term
• Funders (e.g. Wellcome Trust) enhanced ROI
  cascaded research funding
• Other scientists able to create metamodels
• Increased public trust in science
• public benefits because of diminished bad
  feeling about science
• science benefits from better public support for
  funding?
• Other publishers have a model to follow

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Next steps

• Validate the analysis with the domain experts
  (ongoing)
• Update the analysis using the new versions of the
  tools
• Further (mediated) work on Impact

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What we have learnt

• The benefits framework was easy to apply and
  helped articulate benefits
• An intermediary may be required to facilitate the
  process
• Digital Management background and motivation
  matters
• Terminology matters

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In summary..

• We have tested the Benefits Framework in one
  domain against one aspect of curation (citation)
• We have seen positive changes to the tools and
  their documentation
• More work needed on ability of researchers to use
  the tools directly
• Validate outcomes of analysis

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Acknowledgements

• University of Manchester
• Carole Goble
• Peter Li
• British Library
• Max Wilkinson
• Tom Pollard
• Sage Bionetworks

• UKOLN
• Liz Lyon
• Monica Duke
• Nature Genetics
• Myles Axton
• PLoS Comp Bio
• Phil Bourne