<div dir="ltr"><div style>Dear DataONE Community</div><div style><br></div><div style>Please find below three items that may be of interest:</div><div style><ol style><li style>BIGPROV'13 Call for Participation</li><li style>
The NASA-University of Virginia Intensive Summer School in Computing for Environmental Sciences<br></li><li style>DMPTool Software Engineer position at California Digital Library</li></ol><div style>Amber</div></div><div>
<br></div><b>**********************************</b><div><b>1. BIGPROV'13 Call for Participation</b><br><div><br></div><div>BIGPROV'13: International Workshop on Managing and Querying Provenance Data at Scale<br><a href="http://sites.google.com/site/bigprov13/">http://sites.google.com/site/bigprov13/</a><br>
<a href="mailto:bigprov13@easychair.org">bigprov13@easychair.org</a><br><br>In conjunction with EDBT/ICDT 2013: <a href="http://edbticdt2013.disi.unige.it/">http://edbticdt2013.disi.unige.it/</a><br>March 22nd, 2013, Genova, Italy *<br>
<br><b><i>Confirmed Keynote speakers</i></b><br>Dr. Joerg Kraenzlein, MD, PhD -- Medical Director, Big Data, iSOFT Health GmbH, a CSC company<br>Dr. Grigoris Karvounarakis, LogicBlox, USA<br><b><i><br></i></b></div><div>
<b><i>BigProv Research Papers</i></b><br>
Paraskevi Zerva, Steffen Zschaler and Simon Miles. Towards Design Support for Provenance Awareness: A Classification of Provenance Questions</div><div>Pinar Alper, Khalid Belhajjame, Carole A. Goble and Pinar Karagoz. Enhancing and Abstracting Scientific Workflow Provenance for Data Publishing </div>
<div>Devarshi Ghoshal and Beth Plale. Provenance from Log Files: a BigData Problem</div><div>Alessandro Spinuso, James Cheney and Malcolm Atkinson. Provenance for seismological processing pipelines in a distributed streaming workflow<br>
Flavio Costa, Victor Sousa, Daniel de Oliveira, Kary Ocana, Eduardo Ogasawara, Jonas Dias and Marta Mattoso. Capturing and Querying Workflow Runtime Provenance with PROV: a Practical Approach <br>Edoardo Pignotti, Gary Polhill and Peter Edwards. Using Provenance to Analyse Agent-based Simulations<br>
Bernd Amann, Camelia Constantin, Clement Caron and Patrick Giroux. WebLab PROV: Computing fine-grained provenance links for XML artifacts<br><br><b><i>ProvBench (Short Presentations)</i></b><br>David Koop, Juliana Freire, Claudio Silva, VisTrails Provenance Traces for Benchmarking Fernando Chirigati, <br>
Provenance Traces of the Swift Parallel Scripting System, Luiz M. R. Gadelha Jr., Michael Wilde, Marta Mattoso, Ian Foster<br>Paolo Missier and Ziyu Chen. Extracting PROV provenance traces from Wikipedia history pages<br>
Edoardo Pignotti, Gary Polhill, Peter Edward, PROV-O Provenance Traces From Agent-based Social Simulation<br>Ashish Gehani, Dawood Tariq, Cross-Platform Provenance<br>Felipe Horta, Vitor Silva, Flavio Costa, Daniel de Oliveira, Kary Ocana, Eduardo Ogasawara, Jonas Dias, Marta Mattoso, Provenance Traces from Chiron Parallel Workflow Engine<br>
Heiko Mueller, Chris Peters, Yanfeng Shu, Andrew Terhorst, Provenance in Streamflow Forecastinga<br>Khalid Belhajjame, Jun Zhao, Daniel Garijo, Aleix Garrido, Stian Soiland-Reyes and Pinar Alper. The Taverna and Wings Workflow PROV-Corpus<br>
<br><b><i>WORKSHOP FOCUS</i></b><br>Provenance data is poised to become pervasive in key areas of information management, ranging from traditional areas of science (i.e., life sciences, earth sciences, astronomy, etc.), to new applications enabled by the Web (e.g., social sciences, social network analysis, quality and trust in Web publishing). <br>
<br>As the volume of provenance metadata increases with the volume of the underlying data whose history it describes, new challenges for managing and querying provenance at scale emerge, i.e., provenance data is growing in both "count" and "complexity". It is growing in count because of the very large number of provenance traces (one for each Twitter message, for example), and in complexity in the case of provenance graphs that are generated from provenance-enabled programming environments (e.g., scientific workflow systems) and middleware. Data-intensive science is bound to produce provenance that fares high on both accounts.<br>
<br>At the same time, emerging standards such as PROV, the W3C recommendation for provenance modelling and Web-based access, suggest that provenance data will increasingly be encoded using Semantic Web technology. This in turn suggests that provenance data will soon form a natural extension of, and seamlessly blend with, the growing Linked Data Cloud. <br>
<br>The new Managing and Querying Provenance Data at Scale workshop (BIGProv) stems from these premises. We are interested in exploring the system and modelling challenges associated with collecting, storing, querying, and exploiting large volumes of possibly complex provenance data. We seek to map the state of the art, elicit new research problems, and learn about existing systems. More specifically, the workshop scope includes the following topics: <br>
<br>- Automated capture of provenance at multiple layers (system, middleware, applications)<br>- Database models, languages, and systems for storing and querying large-scale provenance <br>- Provenance and Linked Open Data (LOD): seamless representation and query models<br>
- Comparison and performance benchmarking of different data architectures and query models for provenance<br>- Analysis of existing graph query models and systems for provenance graphs<br>- Reference datasets for provenance benchmarking<br>
- System descriptions and demonstrations of large-scale provenance and graph data<br>- Uniform querying over heterogeneous provenance traces<br>- Abstraction models for provenance and their applications to user presentation, visualization, and privacy preservation<br>
<br><b><i>PUBLICATION</i></b><br>Accepted papers are included in the ACM DL as well as in the official EDBT workshop proceedings.<br><b><i><br>Workshop Organizers</i></b><br>Bertram Ludaescher, UC Davis, CA (<a href="mailto:ludaesch@ucdavis.edu">ludaesch@ucdavis.edu</a>)<br>
Paolo Missier, Newcastle University, UK (<a href="mailto:pmissier@acm.org">pmissier@acm.org</a>)<br><br>Proceedings chair: Victor Cuevas, University of New Mexico and UC Davis, USA<br><br><b><br></b><b>**********************************</b></div>
<div><b>2. The NASA-University of Virginia Intensive Summer School in Computing for Environmental Sciences</b><br><br>ISSCENS<br>The University of Virginia Alliance for Computational Science & Engineering (UVACSE), in cooperation with the Department of Environmental Science and NASA, is sponsoring<br>
<br>The NASA-University of Virginia<br>Intensive Summer School in Computing for Environmental Sciences<br><br>What is ISSCENS?<br><br>The Intensive Summer School for Computing in Environmental Sciences (ISSCENS) is an exciting opportunity for students interested in working with computational applications for atmospheric, ocean, climate, and other environmental sciences. Students will acquire hands-on computing experience and basic training in software engineering and high-performance computing.<br>
<br>The program is open to graduate students and to undergraduates in their last year. Motivated third-year students who plan to go to graduate school are also encouraged to apply. A total of 20 students will be selected for the Summer School, of which 10 will go on to 8-week internships at NASA centers. No previous programming experience is required as we will teach it starting from the basics, but students should be interested in computing and intend to use it in their future research.<br>
<br>Students selected to attend the Summer School may be foreign nationals, but only US citizens can be NASA interns.<br><br><b><i>Applications</i></b><br>Please complete our application form (<a href="http://avillage.web.virginia.edu/NASAApp">http://avillage.web.virginia.edu/NASAApp</a>)<br>
<br><b><i>Required Application Materials</i></b><br>Unofficial transcripts (we will ask for information about specific courses)<br>Two letters of reference<br>Statement of intent: the applicant should write a short explanation of how the Summer School and Internship will fit into his or her personal career goals<br>
<br><b><i>Dates for Summer 2013</i></b><br>Summer School: May 29-June 14<br>Internships: June 17-August 8<br><br><b><i>Application Deadline</i></b><br>Submit Internship Application for Summer 2013 Session by<br>March 15, 2013<br>
<br><a href="http://www.uvacse.virginia.edu/isscens/">http://www.uvacse.virginia.edu/isscens/</a> </div><div><br></div><div><b>**********************************</b></div><div><b>3. DMPTool Software Engineer position at California Digital Library</b><br>
<br>California Digital Library is recruiting a software engineer for a one year development project to enhance the DMPTool (<a href="http://dmptool.org/">http://dmptool.org/</a>) service supported by the UC Curation Center (UC3). The DMPTool is a widely used service that supports University faculty and researchers in creating data management plans as required by various governmental and private funding agencies. The development project will augment the existing tool with a number of new functions and features. Reporting to the DMPTool project manager, the incumbent will be responsible for refining functional requirements, UI designs, and technical specifications; implementation of those specifications; testing and documenting the resulting codebase; and deployment of the operational system in a production environment. UC3 employs an agile development methodology relying on iterative code prototyping, assessment, and refinement. </div>
<div><br>The DMPTool is a Ruby on Rails web application with a MySQL backend database and is integrated with LDAP- and Shibbolith-based authentication. It is deployed in a SLES/SUSE Linux VM environment. Candidates will have demonstrated experience and expertise in these and related web technologies, as well as in general software development methodologies and best practices.</div>
<div><br></div><div>For more information and to apply visit: <a href="https://jobs.ucop.edu/applicants/jsp/shared/frameset/Frameset.jsp?time=1360192332140">https://jobs.ucop.edu/applicants/jsp/shared/frameset/Frameset.jsp?time=1360192332140</a><br>
<div><br></div>-- <br><span style="font-family:arial,sans-serif;font-size:13px;border-collapse:collapse;color:rgb(51,51,51)">Amber E Budden, PhD<br>Director for Community Engagement and Outreach<br>DataONE<br>University of New Mexico<br>
1312 Basehart SE<br>Albuquerque, NM 87106<div><br><div>Tel: 505-814-1112</div><div>Cell: 505-205-7675</div><div>Fax: 505-246-6007</div></div><div><br></div></span>
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