Extended deadline leaves less than a week to submit abtsracts

                                       Call for Papers and Attendance 

                                    The Future of Grid Data Environments: 
                                A Global Grid Forum (GGF) Data Area Workshop 


                                         Tuesday March 9 2004 
                                Humboldt University, Berlin, Germany 
                                   held in conjunction with GGF10 

                                 http://www.nesc.ac.uk/events/GGF10-DA/


Background 

The area of data management in grid environments has become very active at GGF, 
with new groups forming at every GGF meeting. 
We seek high quality papers identifying important results from development and 
application experience or identifying challenges through in depth analysis of 
clearly 
identified issues. Selected revised papers will be
published as a special issue in the Journal of Grid Computing. 

The workshop will provide an excellent forum for researchers and developers in 
data 
management in grid computing. We hope to build the 'big picture' of work in the
Data Area of the Global Grid Forum to form a view of how this work should 
develop. 
That future should be well informed by relevant research and we hope to 
stimulate 
relevant research as an outcome of the workshop. 

We encourage papers that address topics such as: 
-       Experience and Measurements implementing or using the emerging Data 
Area 
        standards 
-       Data Experiences in Grid Environments 
-       Data Virtualization, Access, Integration and Transformation 
-       Data Discovery, Quality, Provenance and Metadata 
-       Data Movement, Distribution, Caching and Replication 
-       Data Management and Quality of Service 
-       Data Recovery and Coordination 


Why Attend 
The following are reasons to attend this workshop: 
-       Part 1 of the workshop, a structure and gap analysis, will give 
researchers new to 
        the Data Area community an opportunity to learn the current 
state-of-the-art in 
        GGF data management standards and proposed directions. 
-       Part 2 of the workshop, research and experience papers, provides 
opportunity to 
        interact with leaders in GGF data management standards effort. 

Who Should Attend 
-       Members of the GGF Data Area Groups. 
-       Members of other GGF Groups. 
-       Developers and Researchers who are engaged in this domain or are 
exploring its 
        application. 

Submission of Extended Abstracts 

The program committee's decisions will be based on extended abstracts, which 
should 
be between 3 and 5 pages in length using easily read fonts and sensible layout. 
Please send your abstracts as PDF documents to 
ggf10-da-submissions-J1mywKHGaVS1Qrn1Bg8BZw@xxxxxxxxxxxxxxxx by 
31st January 2004. Early submission would be helpful. Acceptances will be 
notified by 14th February 2004. 
Submission of 'pre-prints' 
Full presentation-ready papers are required by 1st March 2004 so that they can 
be placed 
on the workshop's web site and read in advance by participants. 

Important Dates 
21 Jan 2004: Public Review of Data Area Structure and Function Analysis starts 
6 Feb 2004: Extended Abstract submission 
14 Feb 2004: Notification of paper acceptance 
1 Mar 2004: Full Presentation-ready Papers Required 
9 Mar 2004: Workshop 

Organizers: 
Malcolm Atkinson, University of Edinburgh, 
Ann Chervenak, ISI USC
Susan Malaika, IBM
Andre Merzky, Konrad-Zuse-Zentrum fu"r
          Informationstechnik Berlin (ZIB)

Local coordinator: Andre Merzky 
Program Committee Chair: Beth Plale, Indiana University 

Programme Committee 

Bill Allcock, Argonne National Lab 
Vijay Dialani, University of Southampton 
Amy Krause EPCC, University of Edinburgh 
Igor Mandrichenko, Fermi National Accelerator Lab
Reagan Moore, SDSC 
Inderpal Narang, IBM 
Gregory Newby, University of North Carolina
Dave Pearson Oracle 
Greg Riccardi University of Florida 
Osamu Tatabe 
Martin Westhead, EPCC, University of Edinburgh 
Paul Watson University of Newcastle 
Jane Xu IBM 

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