Virtual Research Environment Professor Richard O. Sinnott & Anthony Stell 25 th September 2010

Slides:



Advertisements
Similar presentations
April 2010 MRC Data Sharing Policy Peter Dukes Policy Lead – Data Sharing & Preservation.
Advertisements

Spatial Data e-Infrastructure UK e-Science ALL HANDS MEETING September, Edinburgh, UK Higgins, C., Koutroumpas, M., Sinnott, R.O., Watt, J.,
Registries, Databases & Clinical Networks David J Burn Newcastle University.
CHOICE Pathology Informatics 2010 Boston, Massachusetts DataReady ® : A Deployable Data Management and Integration System for Large-scale Cancer Repositories.
GEODE Workshop 16 th January 2007 Issues in e-Science Richard Sinnott University of Glasgow Ken Turner University of Stirling.
Ontology Based Clinical Trial Builder Norbert Graf, Fatima Schera, Gabriele Weiler University of the Saarland, Fraunhofer Institute, Germany Clinical Trial.
SEE-GEO Meeting 20 th March 2008 NCeSS e-Infrastructure for the Social Sciences Project: Security and Geospatial Services Andy Turner
Discovery of new medicines through new models of collaboration Simon Ward Professor of Medicinal Chemistry & Director of Translational Drug Discovery Group.
1 The UK Opportunity: what is experimental medicine? UNLOCK YOUR GLOBAL BUSINESS POTENTIAL Pre- clinical develop- ment Phase I Phase II Phase III Product.
Research-driven data standards CIMI 11 th April 2013.
The Nuffield Council on Bioethics Report : The collection, linking and use of data in biomedical research and health care: ethical issues. Martin Richards.
Leveraging the Electronic Health Record for Clinical Research John P. Glaser, PhD Vice President and CIO Partners HealthCare July 21, 2008.
05/09/2015www.ecrin.org1 European Clinical Research Infrastructures Network
The ENSAT-CANCER Project: from European to Global Biomedical Research Collaborations Professor Richard O. Sinnott Director eResearch & Chair Applied Computing.
1 Common Challenges Across Scientific Disciplines Laurence Field CERN 18 th November 2013.
Sage Bionetworks Mission Sage Bionetworks is a non-profit organization with a vision to create a “commons” where integrative bionetworks are evolved by.
1 Matthew J. McAuliffe, Ph.D., Chief, Biomedical Imaging Research Services Section (BIRSS) CIT Ramona Hicks, Ph.D., Program Director, Repair and Plasticity.
Techniques for Data Linkage and Anonymisation – A Funders View Turing Gateway Meeting 23 rd October 2014 Dr Mark Pitman.
A Web/Grid Services Approach for a Virtual Research Environment Implementation Y. W. Sim, C. Wang, L. A. Carr, H. C. Davies, L. Gilbert, S. Grange, D.
Experimental Cancer Medicine – the future of cancer care Rosie Davies (LECMC RP based at RLUH) Janet Davies (LECMC RP based at CCO)
Integrated Biomedical Information for Better Health Workprogramme Call 4 IST Conference- Networking Session.
Department of Health and Human Services National Institutes of Health National Center for Research Resources Division of Research Infrastructure Extending.
1 A National Virtual Specimen Database for Early Cancer Detection June 26, 2003 Daniel Crichton NASA Jet Propulsion Laboratory Sean Kelly NASA Jet Propulsion.
INFSO-RI Enabling Grids for E-sciencE V. Breton, 30/08/05, seminar at SERONO Grid added value to fight malaria Vincent Breton EGEE.
ODD-Genes: Accelerating data-driven scientific discovery NeSC Review 2003 NeSC
Future of e-Science Malcolm Atkinson Director 18 th March 2004.
UK e-Science 2008 All Hands Meeting. Edinburgh. Data Sharing e-Infrastructure David Rodriguez 1, Trevor Carpenter 2, Jano van Hemert 1 & Joanna Wardlaw.
Facilitate Scientific Data Sharing by Sharing Informatics Tools and Standards Belinda Seto and James Luo National Institute of Biomedical Imaging and Bioengineering.
DAME: A Distributed Diagnostics Environment for Maintenance Duncan Russell University of Leeds.
Usability Talk, 26 th January 2006 Development of Usable Grid Services for the Biomedical Community Prof Richard Sinnott Technical Director National e-Science.
David Carr The Wellcome Trust Data management and sharing: the Wellcome Trust’s approach Economic & Social Data Service conference.
SEEK Welcome Malcolm Atkinson Director 12 th May 2004.
NA-MIC National Alliance for Medical Image Computing UCSD: Engineering Core 2 Portal and Grid Infrastructure.
Supporting the Clinical Trial Recruitment Process through the Grid 19 th September th UK e-Science All-Hands Meeting University of Glasgow, Scotland,
Clinical Collaboration Platform Overview ST Electronics (Training & Simulation Systems) 8 September 2009 Research Enablers  Consulting  Open Standards.
OGF22 25 th February 2008 OGF22 Demo Slides Prof. Richard O. Sinnott Technical Director, National e-Science Centre University of Glasgow, Scotland
ACGT: Open Grid Services for Improving Medical Knowledge Discovery Stelios G. Sfakianakis, FORTH.
Combining the strengths of UMIST and The Victoria University of Manchester “Use cases” Stephen Pickles e-Frameworks meets e-Science workshop Edinburgh,
Edinburgh e-Science MSc Bob Mann Institute for Astronomy & NeSC University of Edinburgh.
26/05/2005 Research Infrastructures - 'eInfrastructure: Grid initiatives‘ FP INFRASTRUCTURES-71 DIMMI Project a DI gital M ulti M edia I nfrastructure.
100k Genomes Project Programme of Whole Genome Sequencing, part of UK Life Sciences Strategy Aim to sequence 100,000 genomes from patients with cancer.
EGEE-II INFSO-RI Enabling Grids for E-sciencE EGEE and gLite are registered trademarks Ignacio Blanquer Vicente Hernández Damià.
Prof. Richard O. Sinnott Dr Steven Manos Dirk van der Knijff Bernard Meade Natalie Gilka Overview ITS Research Services The ITS Research.
The Australian Urban (e-)Research Infrastructure Professor Richard O. Sinnott eResearch Director, University of Melbourne 5 th June 2013
E-Science Security Roadmap Grid Security Task Force From original presentation by Howard Chivers, University of York Brief content:  Seek feedback on.
Toward a common data and command representation for quantum chemistry Malcolm Atkinson Director 5 th April 2004.
EGEE-III INFSO-RI Enabling Grids for E-sciencE EGEE08 conference, Istambul Life sciences cluster perspective on EGI V. Breton, CNRS On.
A Rapid-Learning Health System Using in silico research Lynn Etheredge Wolfram Data Summit - September 9, 2010.
Virtual ANonymisation Grid for Unified Access to Remote Data Project Overview The ENSAT consortium (European Network.
Practical Aspects of Preparation FP 6 projects Senter/EG-Liaison Nationaal Contact Punt voor het 6de Kaderprogramma Sandra de Wild 11 december 2002.
VOTES Virtual Organisations for Trials and Epidemiological Studies Overview The development.
Secure Federated Data Retrieval in Clinical Trials 4 th July 2006 IASTED Telehealth Conference, Banff, Alberta University of Glasgow, Scotland, UK Anthony.
Virtual Organisations for Trials and Epidemiological Studies (VOTES) Overview VOTES is a pioneering project investigating the application of Grid technology.
Shibboleth Use at the National e-Science Centre Hub Glasgow at collaborating institutions in the Shibboleth federation depending.
May 2007 CTMS / Imaging Interoperability Scenarios March 2009.
The Cancer Registry of Norway Jan F Nygård Head of the IT-department.
All Hands Meeting 2005 BIRN-CC: Building, Maintaining and Maturing a National Information Infrastructure to Enable and Advance Biomedical Research.
Milanesi Luciano Catania, Italy 13/03/2007 Bioinformatics challenges in European projects in Grid. Milanesi Luciano National Research Council Institute.
TRANSFoRm A flexible zone model for data privacy and confidentiality in medical research Wolfgang Kuchinke 1,Christian Ohmann, 1 Evert-Ben van Veen 2,
NIHR Southampton Biomedical Research Centre The Southampton Biomedical Research Centre is funded by the National Institute for Health Research (NIHR) and.
The opportunities and challenges of sharing genomics data with the pharmaceutical industry Shahid Hanif, Head of Health Data & Outcomes, ABPI DNA digest.
K. Zatloukal The European Research Infrastructure for Biobanking and Biomolecular Resources (BBMRI) Kurt Zatloukal, Medical University of Graz, Austria.
Kick Off Meeting Largs, Scotland
Bob Jones EGEE Technical Director
Semantic Web - caBIG Abstract: 21st century biomedical research is driven by massive amounts of data: automated technologies generate hundreds of.
Biomedical Informatics Core technology, data, services
Security Requirements for ChinaGrid Applications - What the current grid security solutions cannot do Hai Jin Huazhong University of Science and Technology.
Clinical and Translational Science Awards Program
High Performance Computing Center – HLRS
Scottish Cancer Registry and Intelligence Service (SCRIS)
Presentation transcript:

Virtual Research Environment Professor Richard O. Sinnott & Anthony Stell 25 th September 2010

2 Overview Proposal Work Plan Recap VRE –Introduction to and demonstration of ACC registry –Organisation and Support for Clinical Studies PMT-exemplar –Biobanking Support and Data Linkage Next steps

3 VRE::Proposal Description A state-of-the-art Virtual Research Environment (VRE) will provide the foundation for all of research phases and clinical trials associated with The VRE will comprise a clinical registry for patients with ACC/MPH and a collection of tools for security-oriented data access, linkage, analysis, annotation and storage for the associated work packages. It will support training and educational materials, and offer collaborative tools such as wikis and discussion forums. The VRE will allow incorporation of clinical annotation and hosting of secondary data from the human-based research projects in order to create a wider scientific research environment seamlessly and securely providing access to clinical and biomedical data sets. To address the sensitivity of data access and linkage, the VRE will support the secure upload and querying of clinical and other data sets associated with adrenal tumours, and where feasible the federated access to data sets across partner sites. In the realisation of this model in we shall allow for seamless linkage of clinical data sets available through the VRE with biomaterials and associated data sets without direct data linkage and hence risk of further data disclosure or linkage with other data sets. This model is especially suited to biobanking situations where clear separation of clinical information and biomaterials is demanded for confidentiality and data disclosure concerns.

4 VRE::Proposal Description UoM Tasks –#1: Supporting the Requirements of the Partner Sites –#2: Continuous security evaluation, risk assessment and ethical evaluation of the VRE –#3: Design, Development, Testing and Maintenance of the VRE –#4: VRE Clinical Trial Support –#5: VRE Biobanking Support Resourcing –75 man months for VRE development 60 man months (Anthony Stell) 12 man months (Jipu Jiang) 3 man months for WP1 lead

5 Track Record National e-Science Centre (I, II, III) Dynamic Virtual Organisations for e-Science Education Biomedical Research Informatics Delivered by Grid Enabled Services GridNet Grid Enabled Microarray Expression Profile Search Glasgow early adoption of Shibboleth Joint Data Standards Survey ESP-Grid GridNet-2 HPC Compute cluster award Sun industrial sponsorship OGC Collision OMII-Security Portlets OMII-RAVE Integrating VOMS and PERMIS for Superior Grid Authorization NCeSS Technical Management CESSDA PPP Pharming of Therapeutic RNA Grid Enabled Occupational Data Environment Towards an e-Infrastructure for e-Science Digital Repositories Grid enabled Biochemical Pathway Simulator Virtual Organisations for Trials and Epidemiological Studies A European e-Infrastructure for e-Science Repositories Modelling, Inference and Analysis for Biological Systems up to the Cellular Level Drug Discovery Portal Advanced Grid Authorisation through Semantic Technologies ShinTau (Supporting Multiple Shibboleth Attribute Authorities) Grid-enabled Virtual Safe Settings Scottish Bioinformatics Research Network (SBRN) Generation Scotland Scottish Family Health Study Meeting the Design Challenges of nanoCMOS Electronics (nanoCMOS) EU FW7 EuroDSD EU FW7 AvertIT Breast Cancer Tissue Biobank Data Management through e-Social Science (DAMES) NeSC Research Platform (NRP) NeSC Information Network (NIN) ESF Network for Study of Adrenal Tumors Scottish Health Informatics Platform for Research (SHIP) National E-Infrastructure for Social Simulation (NeISS) Enhancing Repositories for Language and Literature Researchers (ENROLLER) Proxy Credential Auditing Infrastructure for the NGS EU FW7 European Network for Study of Adrenal Tumors Cancer Research Platform EU R4SME Diagnosis of Parkinsons Disease (DiPAR) EU European Platform for Study of Wolfram, Alstrom, Bardet Biedl CompletedOn-Going

6 Anthony (and ENSAT work to now)

ENSAT-CANCER Consortium Meeting Anthony Stell, National e-Science Centre, Glasgow 25 th September 2010, Munich, Germany

ENSAT Registry

ACC - Structure Identification Diagnostic Procedures Tumor Staging Biomaterial Surgery Radiotherapy Chemotherapy Mitotane Chemo- embolisation Follow-Up Pathology Treatments

ACC - Functionality [Walkthrough – video…]

Pheo, NAPACA, APA

Clinical Studies – Pheo-PMT [Walkthrough – video…]

Pheo, NAPACA, APA

Clinical Studies - Others FIRSTMAPP ADIUVO Required… –Identifiers –Central information (i.e. “once only information) –Forms –Repeated patterns

Identifiers ENSAT ID –e.g. FRPA1-3 Study ID –e.g. 1VGYDR001 Common codes –Country and centre (enclosed) Ramifications –Foreign keys from study to registry

Security Programmatic security Encryption Audit trails

Biobanking and data linkage Clinicians ENSAT Registry Biomaterial IDs Biomaterial Clinician A Paris, Centre 1 (Patient Mr X) FRPA1-3 Local LIMS (XYZ123) 1VFRP13001=XYZ123 1VFRP13001 Researchers BioCentre Paris 1VFRP13001 Researcher, Birmingham UK ? ? ? Ethics Consent 1VFRP13001

18 Next Steps Hardening ACC and Pheo/PGL –Schema for database(s) –Functionality (data validation/…) –Usability Requirements capture –Functional imaging platform –Adrenal cancer pathology platform –Adrenal cancer genomics platform –Hormone biomarker platform –Translation adrenal cancer models –Clinical trials ADIUVO/FIRSTMAPP –eCRFs for different phases –Data extraction –… Centralised vs Federated Models

19 Next Steps …ctd Security policy –Definition and enforcement Access and authorisation management Collaboration – s –Audio-confs/skype –Pre-2011 meetings $$$ Data quality management?

20 Questions 20