RESEARCH NETWORK SYSTEM [RNS]

OHSL operates as a Research Network System (RNS) internationally and is a collaborative in practice for management. The following paper best describes what an RNS is:
 

Schleyer T, Butler BS, Song M, Spallek H. Conceptualizing and advancing research networking systems. ACM T Comput-Hum Int. 2012 Mar;19(1):2. 

Abstract

Science in general, and biomedical research in particular, is becoming more collaborative. As a result, collaboration with the right individuals, teams, and institutions is increasingly crucial for scientific progress. We propose Research Networking Systems (RNS) as a new type of system designed to help scientists identify and choose collaborators, and suggest a corresponding research agenda. The research agenda covers four areas: foundations, presentation, architecture, and evaluation. Foundations includes project-, institution- and discipline-specific motivational factors; the role of social networks; and impression formation based on information beyond expertise and interests. Presentation addresses representing expertise in a comprehensive and up-to-date manner; the role of controlled vocabularies and folksonomies; the tension between seekers’ need for comprehensive information and potential collaborators’ desire to control how they are seen by others; and the need to support serendipitous discovery of collaborative opportunities. Architecture considers aggregation and synthesis of information from multiple sources, social system interoperability, and integration with the user’s primary work context. Lastly, evaluation focuses on assessment of collaboration decisions, measurement of user-specific costs and benefits, and how the large-scale impact of RNS could be evaluated with longitudinal and naturalistic methods. We hope that this article stimulates the human-computer interaction, computer-supported cooperative work, and related communities to pursue a broad and comprehensive agenda for developing research networking systems.

 

ACM Transactions on Computer-Human Interaction (TOCHI) TOCHI Homepage
Volume 19 Issue 1, March 2012
Article No. 2
ACM New York, NY, USA
table of contents DOI: 10.1145/2147783.2147785

 


Operations at OHSL are a mixture of knowledge mining, network, and talent management. We will:

  • Place our findings on an open source platform and involve interested parties in knowledge-share activities
  • Use client contributions to shape the agenda and the desired goals
  • Encourage collaboration between all participants to build capacity and resolve problems

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