The ground data processing, archival and dissemination of the science data for India’s first multi wavelength astronomical spacecraft, AstroSat is carried out from Indian Space Science Data Centre (ISSDC). The proposals submitted by users worldwide are grouped into observations and are observed in multiple orbit segments. Large volume of data in various configurations from different payloads and the inherent diversity of data products resulting from observations had demanded intricate procedures in handling the data processing, archival and dissemination scenario at ISSDC. The paper describes the layered approach followed in implementing a software stack for establishing and operating a completely automated pipeline for data processing, archival and dissemination of astronomical data. The operations of the automated pipeline, challenges faced during the implementation and the strategies adapted to overcome them are also summarized.

印度第一艘多波长天文航天器 AstroSat 的地面数据处理、归档和科学数据传播由印度空间科学数据中心 (ISSDC) 进行。全世界用户提交的提案被分组到观测中，并在多个轨道段中进行观测。来自不同有效载荷的各种配置的大量数据以及观测产生的数据产品的固有多样性要求在处理 ISSDC 的数据处理、存档和传播场景时采用复杂的程序。该论文描述了在实施软件堆栈时采用的分层方法，该软件堆栈用于建立和运行用于数据处理、存档和天文数据传播的完全自动化的管道。自动化流水线的操作，