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  • <number>
  • Why is data sharing important?
    Avoid duplication
    Eg Negative results
    Foster re-use of data
    Make more information available
    Add to cancer knowledge through synergy
    Discoveries are usually dependent on multiple facts being placed in context
    “Collatable” cancer information is greater than the sum of the values of each item in isolation
    Summary: To make better use of the money, time and effort allocated to Cancer Research
  • <number>
  • NCRI context on Implementation Plan
    draft document
    moving target, still to be finalised
    requires input from Task Force members
  • Transcript

    • 1. NCRI Informatics Initiative
    • 2. 2 The NCRI Partnership
    • 3. 3 Where does Informatics fit in with NCRI’s governance? NCRI Board Chair: Prof Sir Kenneth Calman NCRI Informatics Management Board Chair: Prof Sir Alex Markham Informatics Coordination Unit Interim Director: Alan Hogg
    • 4. 4 Beginning at the beginning: What is Cancer Informatics? • General: Using technology to make use of information relating to cancer cause, prevention and cure • Example: Looking for occurrences of a DNA base sequence within 3 billion base pairs of the Human Genome • NCRI Informatics: focus on using informatics to maximise the impact of cancer research • Coordination and guiding role • Primary concern is data sharing
    • 5. 5 The Informatics Problem A consequence of success • Think of all the types of data relevant to cancer • Biology, Animal Models, Genetics, Epidemiology, Clinical etc • Data Volumes • The sheer scale of data • Distribution • Indexing • Data Standards • Not all data contains all the elements needed • Ontology, Format, Mapping • Much research data isn’t accessible • There is no simple solution
    • 6. 6 Cancer Informatics Examples of what we can see today • USA • caBIG® moved from pilot to production status in 2007 • NCRI Data Sharing policy • Agreed to by all Partners • Mature EBI services • Very widely used • UKCRC/CfH Simulations • Research Capability Program • NCRI Initiative demonstrators • Platform Reference Model (UCL) • How might cancer information resources be organised? • Imaging & Pathology • A practical problem integrating multiple sources
    • 7. 7 Towards Future Progress: NCRI Informatics Coordination Unit goals Willingness to share Ability to share Cultural Change through Community Alliances Help to build a Cancer Informatics Platform
    • 8. 8 • Assessing standards • Maintaining and promoting “the Cancer InfoMatrix” • Hosting workshops (Examples) • Data Sharing, Genetic variation, Data Sharing • Demonstrator Projects • Helping to implement data sharing policy • Sample Publications and conferences • Joint UK/US Informatics Conference, NHS CAT • Parallel session at NCRI Conference • Cancer Informatics, Nature Biotechnology, Human Mutation • Presentations at external events • For example caBIG® Annual Meeting, LRF, Wellcome Data to Discovery meeting, UCL public lecture series, etc • Building an “Informatics Platform” with the community NCRI Informatics Coordination Unit Working with and for the community
    • 9. 9 What is “The Platform”? Informatics Platform NCRI ONIX Communit y Node Communit y Node Communit y Node Communit y Node Community User User Interface Data Source Data Service Data Service Data Source Data Source Data Source Data Service Informatics Platform Genomics Data NCRI ONIX Imaging & Pathology Analysis Tools Community Node Community Node Proteomic Data NHS CfH Research Data Community Node (e.g caBIGTM ) Data Service Data Source Data Source Data SourceCancer Registries Community Node Community Node Community Node Community Node Community Node Tissue Banks Data Source Data Service
    • 10. 10 Platform Development 2007 2008 2009 2010 Phase I Phase II Gate ReviewGate Review Gate Review Gate Review Gate Review A complex plan with many deliverables and a well defined control process. = Deliverable
    • 11. 12
    • 12. 13
    • 13. 14 • Promoting national and international collaboration • Linking the UK cancer research community • Unifies cancer and non-cancer research teams, irrespective of size • Frees up researchers to focus more on the science • Integration of connected resources globally • Flexible but consistent infrastructure for future sources/services • Fostering a Data Sharing Culture • Makes resources more accessible • Reuse of resources (data and services) across multiple domains • Reduction of duplication, saves time and effort • Adoption of data standards and data sharing The Platform will increase the impact of research for the benefit of patients Benefits of the Platform
    • 14. 15 • Plan calls for central coordination • Mainly Informatics Coordination Unit activities • Also many community and shared activities • For new platform resources to be linked by ONIX … • … and to adapt existing ones to connect • A new funding stream for community projects has been proposed • Informatics Management Board response • Issued an “Expressions of Interest” call to judge community interest • The response was of a very high quality • Finance Committee • To support this there is a “financing committee” to help raise funds • Initially Pharmaceutical companies are being approached • An industry “Informatics Summit” took place in Feb08 Financial Support for the Platform
    • 15. 16 Summary • The NCRI Informatics Initiative is helping • To work with the UK and international community to build re-usable infrastructure • To change culture to make the infra-structure usable • We think it is in everyone’s best interest • But our approach is open and voluntary

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