Re: [Myexperiment-discuss] Request for the provenance data from scientific workflow executions

[Chalalai Chaihirunkarn]

Hi Khalid,

Thank you so much for your reply. The resources you provided would be very 
valuable for our research. I will keep you updated on our research progress.


Thank you again,

Chalalai Chaihirunkarn
PhD. student in Computation, Organizations, and Society
School of Computer Science, Carnegie Mellon University
500 Forbes Ave. Pittsburgh, PA, 15213. USA


On Dec 11, 2012, at 5:09 AM, Khalid Belhajjame <address@hidden> wrote:

> Hi Chalalai,
> 
> We have actually collected provenance traces of multiple Taverna
> workflows, and they are publicly available on github [1]. The
> provenance traces are encoded in RDF using the W3C prov-o ontology
> [2]. Metadata information about the workflows used for generating the
> provenance, license, as well as people who collected the provenance is
> also available in the repository. Finally, you can find some
> statistics about the provenance in a PDF document [3], which was
> submitted to the BigProv workwhop that is co-located with the EDBT
> conference.
> 
> Many thanks for your interest,
> khalid
> 
> [1] https://github.com/provbench/Wf4Ever-PROV/tree/master/Taverna_repository
> [2] http://www.w3.org/TR/prov-o/
> [3] https://github.com/provbench/Wf4Ever-PROV/blob/master/prov-bench-paper.pdf
> 
> On 10 December 2012 20:56, Gmail <address@hidden> wrote:
>> Hi,
>> 
>> My name is Chalalai Chaihirunkarn, a Ph.D. student in the School of Computer
>> Science at Carnegie Mellon University. I'm currently working on research
>> that aims to enhance the usability of scientific software under the
>> advisement of Professor James D. Herbsleb.
>> 
>> We are interested in software co-occurrence inside scientific environments
>> leveraged by scientific communities. We expect to identify the softwares
>> that are used in collaboration and plan to suggest improvements of software
>> tools present in such environments.
>> 
>> MyExperiment would be an effective environment for our studies. We have
>> found that data source information, process definitions, dependencies among
>> processes, and process execution periods, from the provenance of scientific
>> workflows generated by Taverna, could massively benefit our research.
>> 
>> We would like to request assistance from anyone who could send us provenance
>> data from workflow executions, or could suggest how to access those data.
>> The data could be in any format such as XML files, spreadsheets, or database
>> scripts. The data would remain private and used only for research purposes.
>> 
>> If you have any questions regarding our research and the use of the
>> provenance data, please feel free to contact me at address@hidden
>> 
>> We would really appreciate your interest and participation.
>> 
>> 
>> Thank you,
>> 
>> Chalalai Chaihirunkarn
>> PhD. student in Computation, Organizations, and Society
>> School of Computer Science, Carnegie Mellon University
>> 500 Forbes Ave. Pittsburgh, PA, 15213. USA
>> 
>> 
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