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, andevaluation. 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.

中文翻译：

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构想和推进研究网络系统

总的来说，科学，特别是生物医学研究，正变得更加协作。因此，与合适的个人、团队和机构合作对于科学进步越来越重要。我们建议将研究网络系统 (RNS) 作为一种新型系统，旨在帮助科学家识别和选择合作者，并提出相应的研究议程。研究议程涵盖四个领域：基础，演示，架构， 和评估. 基础包括项目、机构和学科特定的激励因素；社交网络的作用；以及基于超出专业知识和兴趣的信息的印象形成。演讲以全面和最新的方式代表专业知识；受控词汇和民间分类法的作用；寻求者对全面信息的需求与潜在合作者控制他人如何看待他们的愿望之间的紧张关系；以及支持偶然发现合作机会的需要。架构考虑了来自多个来源的信息的聚合和综合、社会系统的互操作性以及与用户主要工作环境的集成。最后，评估侧重于对协作决策的评估，测量用户特定的成本和收益，以及如何使用纵向和自然主义方法评估 RNS 的大规模影响。我们希望这篇文章能够激发人机交互、计算机支持的合作工作和相关社区，为开发研究网络系统寻求广泛而全面的议程。