2/11/2016DRAFT August 9, 20121 DRAFT Building Global Science Collaboratories VIVO 2012 Conference Workshop August 22, 1:00 pm – 4:30 pm.

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2/11/2016DRAFT August 9, DRAFT Building Global Science Collaboratories VIVO 2012 Conference Workshop August 22, 1:00 pm – 4:30 pm

2/11/2016DRAFT August 9, Workshop Faculty Anil Srivastava, President, Open Health Systems Laboratory (OHSL) co-located at Johns Hopkins University Montgomery County Campus, Shady Grove, MD, USA Paul Courtney, Project Manager, Dana-Farber Cancer Institute, Boston, MA, USA Ajai Kumar/Hemant Darbari/Swati Mehta/Vivek Koul, Center for Development of Advances Computing C-DAC, Pune, India Rubayi Srivastava, Project Manager, Open Health Systems Laboratory (OHSL), CA, USA Julius Pukacki, Poznan Supercomputing and Networking Center (PSNC), Poznan, Poland

2/11/2016DRAFT August 9, DRAFT Agenda 1:05 Anil - introductions 1:15 Anil – Background and Overview 1:50 Paul – Bootstrapping the global collaboratory (Methods) 2:30 – 2:45 Break 2:45 CDAC – Techniques and experiences in extracting data & transforming it for VIVO (Results) 3:30 Julius – Role of VIVO, Semantic Web and Linked Open Data in advancing global science collaboration & enabling collaboratories (Discussion) 4:15 Anil – Future work/discussant 4:30 Workshop Ends

2/11/2016DRAFT August 9, Faculty “assignments” Anil Provide context, history, mission & vision of OHSL, What programs & projects concern OHSL and VIVO fits into the portfolio Paul Provide vision of developing the Global Cancer Collaboratory, where it is going How this effort is connected with other informatics initiatives; historical context of caBIG, the NCI- NCRI informatics collaborations How is this different from simply putting up a VIVO instance at the OHSL campus in Shady Grove, MD? Incubating and nurturing connectivity across international boundaries requires a different “business model” than putting up an institutional VIVO site. Aggregating information (early web model) and the role of imperfect data (and its relationship to Tim Berners-Lee’s Linked Data model) Rubayi Challenges of providing project management support for an international program spanning 12+ time zones, needing to provide support for logistical and knowledge management for multiple platforms and differing levels of technological infrastructures. CDAC Technical challenges of obtaining the same information required from multiple sites Examples of what was easily available at some sites, what was difficult, how were the challenges addressed Julius Semantic Web and Linked Data

2/11/2016DRAFT August 9, Anil Background Current Indo-US collaboration projects underway Indo-US Cancer Research Grid

2/11/2016DRAFT August 9, Paul Methods Bootstrapping by starting as information aggregator – using a combination of manual and automated methods – to pull in information from Indian cancer centers as well as from US cancer centers as matter of necessity. Created two highly connected nodes, one at CDAC and one at OHSL. Discovered/developed tools to ease process of information extraction from existing web sites

2/11/2016DRAFT August 9, Paul (cont) Goals Intent is to demonstrate efficacy of making resources transparent and discoverable by providing an efficient means of discovering potential collaboration partners using VIVO

2/11/2016DRAFT August 9, Rubayi Logistical challenges Communication Collaboration tools

2/11/2016DRAFT August 9, CDAC Technical Challenges & Lessons Learned Data extraction and conditioning Ontology for each cancer center

2/11/2016DRAFT August 9, Poznan Supercomputing and Networking Center Semantic web and interoperability