1. Paul Research Network Systems (connecting researchers, enabling search & discovery) – compare & contrast –Research Gate –BioMed Experts –Academia –Schleyer, et al work on RNS

2. Paul (cont) Socio-technical approach/framework –Bootstrap by starting as information aggregator VIVO –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. –OHSL, in partnership with CDAC, has established a VIVO environment [http://cdac-ohsl-vivo.cdac.in/vivo] as a core piece of a Research Network System to serve both countries with a view to foster the creation of team science consortia. –Discovered/developed tools to ease process of information extraction from existing web sites Wiki for document and mind sharing Other logistical efforts (Rubayi later) –Needed to be aware of differences in cultural, organizational & working style as well as differences in goals

3. Paul (cont) Goals –Demonstrate efficacy of VIVO to provide an efficient means of discovering potential international collaboration partners. –Develop criteria & roadmap for researcher information to encourage institutional websites to be semantically compliant using shared ontologies. –Establish metrics to assess the effectiveness of our methods

4. Paul (cont) Cancer Centers – standardization –To date: Sent SugarCRM profiles to CDAC for ingestion into VIVO Semi-automatically & manually extracted data from cancer sites in India and US Addressed legal concerns by our partners in India about web-scraping information from cancer center websites and repackaging for this project –To be done: Add in publications: PubMED search of with cancer as MESH Major Topic and [PL] India over last decade results in 4844 articles Investigate use of IndMED and medIND databases of publications in India Establish metrics to assess the effectiveness of our methods to –Increase awareness of the potential for international collaboration –Increase awareness of the role of institutions to expose researcher data that will benefit funding & research opportunities

5. Model: Early Internet Portals

6. Information Aggregation United States India