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Conceptualizing and Advancing Research Networking Systems.

Titus Schleyer1, Brian S Butler1, Mei Song1

  • 1T. Schleyer Center for Dental Informatics School of Dental Medicine, University of Pittsburgh, Pittsburgh, PA; B. S. Butler, School of Information Studies, Robert H. Smith School of Business, University of Maryland, College Park; Joseph M. Katz Graduate School Business and College of Business Administration, University of Pittsburgh, Pittsburgh, PA; M. Song, H. Spallek, Center for Dental Informatics School of Dental Medicine, University of Pittsburgh, Pittsburgh, PA.

ACM Transactions on Computer-Human Interaction : a Publication of the Association for Computing Machinery
|December 31, 2013
PubMed
Summary
This summary is machine-generated.

Research Networking Systems (RNS) can help scientists find collaborators. A proposed research agenda covers foundations, presentation, architecture, and evaluation for effective scientific collaboration.

Keywords:
DesignHuman FactorsManagementOnline knowledge communitiesTheoryWeb 2.0Web 2.0 applicationsWeb collaborative softwaresocial networkssocial software

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Area of Science:

  • Computer-supported cooperative work
  • Human-computer interaction
  • Scientific collaboration

Background:

  • Scientific research is increasingly collaborative, making the selection of appropriate collaborators vital for progress.
  • Identifying and connecting with the right individuals, teams, and institutions is crucial for advancing scientific discovery.

Purpose of the Study:

  • To propose Research Networking Systems (RNS) as a novel solution for facilitating scientist collaboration.
  • To outline a comprehensive research agenda for the development and evaluation of RNS.

Main Methods:

  • The proposed research agenda is structured around four key areas: foundations, presentation, architecture, and evaluation.
  • Foundations: Investigating motivational factors, social networks, and impression formation in collaboration.
  • Presentation: Addressing expertise representation, controlled vocabularies, information control, and serendipitous discovery.
  • Architecture: Focusing on information aggregation, interoperability, and integration into work contexts.
  • Evaluation: Emphasizing assessment of collaboration decisions, costs, benefits, and large-scale impact using longitudinal methods.

Main Results:

  • The research agenda provides a framework for developing RNS to aid scientists in identifying and selecting collaborators.
  • It addresses critical aspects of RNS, including how to represent expertise, manage information, and integrate systems.
  • The agenda also outlines methods for evaluating the effectiveness and impact of RNS.

Conclusions:

  • Developing effective Research Networking Systems requires a multi-faceted approach encompassing technical, social, and evaluative considerations.
  • The proposed agenda aims to guide future research and development in the field of scientific collaboration tools.
  • Stimulating the human-computer interaction and computer-supported cooperative work communities is essential for advancing RNS.