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Announcement: RoSE (Research-oriented Social Environment)

RoSE logo RoSE is a research-oriented social environment for tracking and integrating relations between authors and documents in a combined “social-document graph.” It allows users to learn about an author or idea from the evolving relationships between people-and-documents, people-and-people, and documents-and-documents.

Unique features of RoSE include:

  • Fine-grained and flexible relationship types and tags. Not everyone is just an “author of” or “friend of.”

  • Historical “dead” people have their own profile pages. In true research, the influence between the past and present evolves in both directions.

  • Visualizations of relations between people and documents. Social-network and other diagrams allow users to notice orbits and clusters of knowledge.

  • User-definable “contexts” for entering or filtering data. One can enter or search for information entered in the context of a course, conference, research project, etc.-an approach that provides implicit local contexts in which to judge goals, priorities, and information quality.

  • Potential for interaction with other document repositories or social networks-e.g., through algorithmic harvesting of information or automated output into other biblio-social systems, visualization applications, etc. Though it currently does not access full-texts of documents, RoSe may in the future be wedded to full-text repositories.

RoSe is currently a demonstration project in early development by the UC Transliteracies Project, which focuses on the digital reading in today’s socially-networked digital environments. As a demonstration project, its limited goal is to suggest what is possible and to offer a hands-on way of thinking about some of the critical issues that would need to be confronted if RoSE were to be implemented as a production-scale system. These issues—which map the frontier where older document-centric modes of knowledge are extending into new socially-networked digital environments—include: expertise and networked public knowledge, data-mining and visualization of social networks, information credibility, fluid ontologies and metadata for social and historical research, and online reading and research environments.

Lilly Nguyen

Graduate Student, Information Studies, UC Los Angeles


Anne Cong-Huyen

Transliteracies Project Coordinator, Graduate Student, English Dept., UC Santa Barbara


Arden Stern

Graduate Student, Visual Studies, UC Irvine