Title: UKOLN is supported by:
1Monica 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
2Overview
- What is the SageCite project
- What is Sage Bionetworks
- Specifics of this case study
- Outcomes of applying the tool
- Next steps
- What weve learnt
3- Citation in the domain of disease network
modelling - Funded August 2010 July 2011
4SageCite project overview
- Review of data citation (issues, technology)
- Understanding the domain
- Sage Bionetworks partners in project
- Site visit
- Documenting processes (workflow tools)
5SageCite project overview
- Demonstrator
- Adding support for data citation
- Using DataCite services
- Working with publishers
- Benefits analysis KRDS Taxonomy
6Sage 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
7Sage 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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9Additional steps for citing data
10Slide by Jonathan Derry Sage Bionetworks
11Slide by Lara Mangravite Sage Bionetworks
12Case 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
13Benefits 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.
14Benefits 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.
15Benefits 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.Â
16Slide by Lara Mangravite Sage Bionetworks
17Benefits 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.
18Benefits (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.
19Benefits (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
20Next steps
- Validate the analysis with the domain experts
(ongoing) - Update the analysis using the new versions of the
tools - Further (mediated) work on Impact
21What 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
22In 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
23Acknowledgements
- 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