Date of this Version
Zachary G. Ives, Todd J. Green, Grigorios Karvounarakis, Nicholas E Taylor, Val Tannen, Partha Pratim Talukdar, Marie Jacob, and Fernando Pereira, "The ORCHESTRA Collaborative Data Sharing System", . January 2008.
Sharing structured data today requires standardizing upon a single schema, then mapping and cleaning all of the data. This results in a single queriable mediated data instance. However, for settings in which structured data is being collaboratively authored by a large community, e.g., in the sciences, there is often a lack of consensus about how it should be represented, what is correct, and which sources are authoritative. Moreover, such data is seldom static: it is frequently updated, cleaned, and annotated. The ORCHESTRA collaborative data sharing system develops a new architecture and consistency model for such settings, based on the needs of data sharing in the life sciences. In this paper we describe the basic architecture and implementation of the ORCHESTRA system, and summarize some of the open challenges that arise in this setting.
Date Posted: 24 July 2012