The ORCHESTRA Collaborative Data Sharing System
The ORCHESTRA Collaborative Data Sharing System
复制标题
ORCHESTRA 协作数据共享系统
作者：
Z. Ives;Todd J. Green;Gregory Karvounarakis;Nicholas E. Taylor;V. Tannen;P. Talukdar;Marie Jacob;Fernando C Pereira
今天共享结构化数据需要对单个模式进行标准化，然后映射和清洁所有数据。这导致一个可查询的中介数据实例。但是，对于由大型社区（例如，在科学中）进行协作撰写的结构化数据的设置，通常缺乏关于如何表现，正确的是什么以及哪些来源具有权威性的共识。此外，这种数据很少是静态的：经常被更新，清洁和注释。乐团协作数据共享系统根据生命科学中的数据共享需求开发了一种新的体系结构和一致性模型。在本文中，我们描述了乐团系统的基本体系结构和实施，并总结了在这种情况下出现的一些开放挑战。
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.