Synthetic Biology Open Language (SBOL) Workshop to be held in Boston, MA in March 2016

数据交换标准对任何领域的发展都至关重要。它们使研究人员和从业者能够可靠地交换信息；应用各种工具来解决他们的问题，并复制科学结果。这是一个支持2016年3月在马萨诸塞州波士顿举行的关于这一主题的研讨会的项目。会议是由标准网络(SBOL)组织的。要求参会者支付费用，以使学生和初级科学家能够参加会议。他们将在研究和工具标准化的重要性以及整个社区努力的影响方面学到宝贵的教训。这一努力对于系统、合成生物学和翻译研究领域的无缝连接至关重要。会议将专门探讨生物学的数据交换标准，使研究人员和从业者能够可靠地交换信息，应用各种工具解决他们的问题，并复制科学结果。其中，讨论将集中在用于数学建模的系统生物学标记语言(SBML)、用于描述路径的生物路径交换语言(BioPaX)、用于视觉表示的系统生物学图形符号(SBGN)以及用于描述生物设计的合成生物学开放语言(SBOL)。虽然合成生物学数据交换有许多独特的要求，但也有许多重叠的目标，如需要构建数学模型，描述路径，并提供可视化表示。因此，实现工具和其他基础设施的共享通常是有益的。同样，其他社区也将从围绕数据交换和合成生物学正向工程生命系统的独特过程的新讨论中受益。

Standards for data exchange are critical to the development of any field. They enable researchers and practitioners to exchange information reliably; apply a variety of tools to their problems, and reproduce scientific results. This is a project to support a workshop on this topic in March, 2016 to be held in Boston, Massachusetts. The meeting is organized by the Standards network (SBOL), . The request if for participant costs to enable students and junior scientist to attend the meeting. They will learn valuable lessons in the importance of research and tool standardization and the impact of a community-wide effort. This effort is essential for areas of systems and synthetic biology and translational research to become seamless. The meetings will specifically explore data exchange standards for biology to enable researchers and practitioners to exchange information reliably, apply a variety of tools to their problems, and reproduce scientific results. The discussion will center, among others, on the systems biology markup language (SBML) for mathematical modeling, the biological pathways exchange language (BioPaX) for describing pathways, the systems biology graphical notation (SBGN) for visual representations, and the synthetic biology open language(SBOL) for describing biological designs. While synthetic biology data exchange has many unique requirements, there are also many overlapping goals such as the need to construct mathematical models, describe pathways, and provide visual representations. Therefore, enabling the sharing of tools and other infrastructure will be generally beneficial. Likewise, other communities will benefit from renewed discussions around data exchange and synthetic biology's unique process of forward engineering living systems.