Integrated e-Infrastructure for Scientific Facilities Kerstin Kleese van Dam STFC- e-Science Centre Daresbury Laboratory

Slides:



Advertisements
Similar presentations
© Keith G Jeffery, Anne G S Asserson GL7: Nancy: December Grey in the R&D Process Keith G Jeffery Director, IT CCLRC
Advertisements

Grey Literature, Institutional Repositories and the Organisational Context Simon Lambert, Brian Matthews & Catherine Jones Business & Information Technology.
Louisa Casely-Hayford e-Science Ontologies & Ontology tools for the CCLRC Neutron & Muon Facility.
Shoaib Sufi CCLRC e-Science Centre CCLRC Scientific Metadata (CSMD) Model April 2004 NESC.
Research Councils ICT Conference Welcome Malcolm Atkinson Director 17 th May 2004.
Digital Certificate Operation in a Complex Environment Matthew J. Dovey Oxford University Computing Services.
Towards an information model for I2S2
I2S2 - Infrastructure for Integration in Structural Sciences Information Model Development Workshop RAL 11 th February 2010
ICAT + Information Model Brian Matthews Scientific Information Group E-Science Centre STFC Rutherford Appleton Laboratory
STFC and the UK e-Infrastructure Initiative The Hartree Centre Prof. John Bancroft Project Director, the Hartree Centre Member, e-Infrastructure Leadership.
The Role of Environmental Monitoring in the Green Economy Strategy K Nathan Hill March 2010.
A multi-level metadata approach for a Public Sector Information data infrastructure Nikos Houssos 1,2, Brigitte Jörg 1,3, Brian Matthews 4 1 euroCRIS 2.
ASCR Data Science Centers Infrastructure Demonstration S. Canon, N. Desai, M. Ernst, K. Kleese-Van Dam, G. Shipman, B. Tierney.
Grid Infrastructure in the UK Neil Geddes. Why this talk ? LHC to 2020 –GridPP to 2011 –SRIF3 to 2010 ? Who was successful in SRIF3? –Thereafter ? PPARC.
EInfrastructures (Internet and Grids) US Resource Centers Perspective: implementation and execution challenges Alan Blatecky Executive Director SDSC.
E-Infrastructure for Social Science data: Obesity e-Lab & MethodBox Ian Dunlop 15/03/11
Superconducting Undulator Workshop Rutherford Appleton Laboratory 28 th & 29 th April 2014 Jim Clarke STFC Daresbury Laboratory.
Data Catalogue Service Work Package 4. Main Objective: Deployment, Operation and Evaluation of a cataloguing service for scientific data. Why: Potential.
©STFC/Keith G Jeffery Metadata in the European e-Infrastructure Metadata in the European e-Infrastructure Keith G Jeffery Science and Technology.
Brian Matthews, CRIS 2002, 31/08/02 1 Accessing the Outputs of Scientific Projects Brian Matthews, Michael Wilson, Business & Information Technology Dept,
Data Management: Documentation & Metadata Types of Documentation.
Science as an Open Enterprise: Open Data for Open Science Professor Brian Collins CB, FREng UCL, June 2012 Emerging conclusions from a Royal Society Policy.
Publication of facility investigations Brian Matthews Scientific Information Group Scientific Computing Department STFC Rutherford Appleton Laboratory.
GridPP Tuesday, 23 September 2003 Tim Phillips. 2 Bristol e-Science Vision National scene Bristol e-Science Centre Issues & Challenges.
Europractice and STFC Overview IEEE Meeting – 5 December 2011 Dr John A McLean Head, Microelectronics Support Centre Science & Technology Facilities Council.
1 European policies for e- Infrastructures Belarus-Poland NREN cross-border link inauguration event Minsk, 9 November 2010 Jean-Luc Dorel European Commission.
1 Common Challenges Across Scientific Disciplines Laurence Field CERN 18 th November 2013.
Climate Sciences: Use Case and Vision Summary Philip Kershaw CEDA, RAL Space, STFC.
Metadata for Large Science: The ICAT Data Model Brian Matthews, Leader, Scientific Applications Group, E-Science Centre, STFC Rutherford Appleton Laboratory.
Sharing Research Data Globally Alan Blatecky National Science Foundation Board on Research Data and Information.
29/11/20071 Brian Matthews Brian McIlwrath A Framework for the Significant Properties of Software.
Context and Linking in the Research Lifecycle CERIF and other standards Catherine Jones Scientific Information Group Scientific Computing Department STFC.
Because good research needs good data Funded by: Digital Curation for Researchers, 28th February 2013 The Shifting Research Data Management Policy Landscape.
Our Mission The OPTICON Integrated Infrastructure Initiative brings together many of Europe's astronomical observatories, data centres and laboratories.
The Faster Research Cycle Interoperability for better science Brian Matthews, Leader, Information Management Group, E-Science Centre, STFC Rutherford Appleton.
SEEK Welcome Malcolm Atkinson Director 12 th May 2004.
Data and the UK e-Science Programme Paul Watson Director North-East Regional e-Science Centre School of Computing Science University of.
Experts in numerical algorithms and High Performance Computing services Challenges of the exponential increase in data Andrew Jones March 2010 SOS14.
Presented by Scientific Annotation Middleware Software infrastructure to support rich scientific records and the processes that produce them Jens Schwidder.
The Earth System Grid (ESG) Computer Science and Technologies DOE SciDAC ESG Project Review Argonne National Laboratory, Illinois May 8-9, 2003.
Building the e-Minerals Minigrid Rik Tyer, Lisa Blanshard, Kerstin Kleese (Data Management Group) Rob Allan, Andrew Richards (Grid Technology Group)
The Astronomy challenge: How can workflow preservation help? Susana Sánchez, Jose Enrique Ruíz, Lourdes Verdes-Montenegro, Julian Garrido, Juan de Dios.
The Parkes Data Archiving Project Arkadi Kosmynin 11 December 2009 The Third ATNF Gravitational Wave Workshop.
Metadata for structural science Workshop on research metadata in context Nijmegen, 7–8 September 2010 Simon Lambert STFC e-Science UK.
Overview and Motivation of the ICAT Software Suite Kerstin Kleese van Dam.
Louisa Casely-Hayford e-Science The ISIS Facilities Ontology and OntoMaintainer Louisa Casely-Hayford and Shoaib Sufi.
Edinburgh e-Science MSc Bob Mann Institute for Astronomy & NeSC University of Edinburgh.
ICAT Schema Current Schema organization What’s there but not yet implemented What could we want in the future 1 ICAT developer workshop, August 2009.
AN ORGANISATION FOR A NATIONAL EARTH SCIENCE INFRASTRUCTURE PROGRAM Virtual Geophysics Laboratory (VGL): Scientific workflows Exploiting the Cloud Josh.
CombeDay Making Data Openly Available Simon Coles.
AHM04: Sep 2004 Nottingham CCLRC e-Science Centre eMinerals: Environment from the Molecular Level Managing simulation data Lisa Blanshard e- Science Data.
NSF Middleware Initiative Purpose To design, develop, deploy and support a set of reusable, expandable set of middleware functions and services that benefit.
Importing record using DOIs Catherine Jones & Robert Darby eScience Centre, Science & Technology Facilities Council.
Toward a common data and command representation for quantum chemistry Malcolm Atkinson Director 5 th April 2004.
The National Grid Service Mike Mineter.
EGI-InSPIRE RI EGI-InSPIRE EGI-InSPIRE RI EGI strategy and Grand Vision Ludek Matyska EGI Council Chair EGI InSPIRE.
ANDS Projects: The University of Western Australia 16 May, 2011 Toby Burrows, Manager (eResearch Support)
Using a Simple Knowledge Organization System to facilitate Catalogue and Search for the ESA CCI Open Data Portal EGU, 21 April 2016 Antony Wilson, Victoria.
STFC in INDIGO DataCloud WP3 INDIGO DataCloud Kickoff Meeting Bologna April 2015 Ian Collier
Research Data Management 26 th April 2016 Federica Fina, Data Scientist, University of St Andrews Library.
InSilicoLab – Grid Environment for Supporting Numerical Experiments in Chemistry Joanna Kocot, Daniel Harężlak, Klemens Noga, Mariusz Sterzel, Tomasz Szepieniec.
EGI-Engage EGI Webinar - Introduction - Gergely Sipos EGI.eu / MTA SZTAKI 6/26/
EUDAT receives funding from the European Union's Horizon 2020 programme - DG CONNECT e-Infrastructures. Contract No Support to scientific.
RI EGI-InSPIRE RI Pre-OMB meeting Preparation for the Workshop “EGI towards H2020” NGI_UK John Gordon and.
An Approach to Software Preservation
Research Data Context Preservation in SCAPE
National e-Infrastructure Vision
Grid Portal Services IeSE (the Integrated e-Science Environment)
Scientific Data Management with MXCuBE
Brian Matthews STFC EOSCpilot Brian Matthews STFC
Presentation transcript:

Integrated e-Infrastructure for Scientific Facilities Kerstin Kleese van Dam STFC- e-Science Centre Daresbury Laboratory

Science and Technology Council Facilities We employ more than 2200 staff who are deployed at 7 locations, these are: Swindon where the headquarters is based: the Rutherford Appleton Laboratory, the Daresbury Laboratory, the Chilbolton Observatory, the UK Astronomy Technology Centre in Edinburgh, the Isaac Newton Group of Telescopes on La Palma; and the Joint AstronomySwindonUK Astronomy Technology CentreIsaac Newton Group of TelescopesJoint Astronomy CentreCentre in Hawaii.

Research and Science Support at STFC Deliver world class science Engender world class science Communicate world class science Annually over visiting Scientists from around the world from both Academia and Industry.

Why we need an Integrated e-Infrastructure HPC Analysis Storage Analysis Experiment Computing HPC Scientist

What we aim to achieve with the e-Infrastructure Enabling users to get rapid access to their current and past data, related experiments, publications etc., leading to improved analysis through more complete information. Creating a powerful, long lasting scientific knowledge resource.

Integrated e- Infrastructure Proposal Metadata Catalogue Information Experiment Data Acquisition System Secure Storage Data Analysis Publication E-Pubs Proposal System All Data and Metadata Capture is automated.

e-Infrastructure – Access to Multiple Facilities(2) Data Portal SNS - ORNL ISIS – TS1 + 2 DLS CLF CSL - Canada SRS + ERLP

How we achieve the integration HPC Analysis Storage Analysis Experiment Computing HPC Metadata Scientist

CRIS – Identity Management System People_ Establish- ment People People_ address Address Establish -ment Establish- ment _Address Facility User Views on CDR (representing this schema) SSO Views on CDR (representing this schema) Context Identity Attribute Account CDR E-Science SSO Portal Admin Facility ULOs ULO Admin Facilities

Core Scientific Metadata Model Metadata Object Topic Study Description Access Conditions Data Location Data Description Related Material Keywords providing a index on what the study is about. Provenance about what the study is, who did it and when. Conditions of use providing information on who and how the data can be accessed. Detailed description of the organisation of the data into datasets and files. Locations providing a navigational to where the data on the study can be found. References into the literature and community providing context about the study.

Core Scientific Metadata Model (2) Detailed Information about Instrument and Experiment such as: Sample Information and Parameter Experimental Station and Set Up Environmental Parameters Key Parameters from the Data Keywords and Classifications

Core Scientific Metadata Model (3) Detailed Information about the Data Analysis and underpinning Computational Simulations: Simulation/Analysis Code and version Simulation Set-up and Parameters Information about the Compute Resource Key Parameter from the Simulation Results Keywords and Classifications

What we have achieved Agreed common metadata and data formats and single sign on allow scientist to have rapid access at any stage of their work to: Present and past projects at STFC. Publications Raw data from DLS, ISIS and CLF. Advanced Analysis Software and High Performance and High Throughput Computing Advanced Visualisation enabling improved analysis

What we have achieved (2) A 20 year back catalogue of ISIS raw data is available. A similar catalogue for SRS data is currently being created. All future data collected at STFC Facilities and DLS will be curated and made available for reuse now and in the future. Creating a powerful, long lasting scientific knowledge resource.

Future Challenges Data Policy and Ownership. Data and Metadata Curation for long- term reuse. Enabling scientist to use information from unfamiliar methods. Integration with other Facilities around the world.

Summary First e-Infrastructures are here. Metadata is key to the integration of Research Processes. Scientist benefit greatly from e- Infrastructures. There are more Challenges ahead.