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Enabling new science with MAST community contributed data collections

机译:使用桅杆社区实现新的科学贡献数据收集

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The Mikulski Archive for Space Telescopes~b (MAST), a multi-mission archive that hosts science data products for several NASA missions, has since 2003 solicited collections of processed data, termed High-Level Science Products (HLSPs), from investigators with observing and archive science programs. As of early 2018 there were nearly 130 contributed collections, and the growth rate is expected to accelerate with the start of the TESS~c and JWST~d missions. While the data volume of all HLSP collections is only about 1% of the total volume hosted by MAST, they have an outsized impact on science. The aggregate downloaded volume for a given HLSP collection is typically about 40 times the collection size, and the citation rates for HLSP collections are significantly higher than that for typical observing programs. Yet hosting HLSPs presents special challenges for long-term archives. It is often problematic to obtain sufficient metadata to specify fully the data products without requiring work from potential contributors that may discourage them from sharing their collections. Historically, preparing an HLSP collection for distribution via MAST has been quite time-consuming and often required substantial interaction with the collection contributors. We are creating a more automated workflow and using new technologies for HLSP collection management to improve collection discoverability, simplify the process for the investigator, ease the burden for MAST staff, and shorten the timeframe for publishing HLSPs. This work will also help MAST staff better assess the impact of HLSP collections on science outcomes for hosted mission data.
机译:该姆米库尔斯基昔日太空望远镜〜B(MAST),多任务归档万军科学数据产品连续NASA任务,自2003年征求处理的数据集合,称为高级科学产品(HLSPs),由调查员观察和归档科学计划。截至2018年初,共有近130贡献的集合,并且增速有望与TESS〜c和JWST〜d任务开始加速。虽然所有HLSP收集的数据量大约只有肥大托管总量的1%,他们对科学的丰厚的影响。对于给定的HLSP收集的总下载量通常为40倍左右集合的大小,以及HLSP集合中的引用率都比较高显著为典型的观测计划。然而,托管HLSPs礼物长期归档特殊的挑战。它往往是有问题的,以获得足够的元数据,而不需要从可能从分享自己的藏品劝阻他们潜在的贡献者工作全面指定的数据产品。从历史上看,通过MAST准备的HLSP收集分布已经相当费时,往往需要大量的互动与收集贡献者。我们正在创造一个更加自动化的工作流程,并利用新技术进行HLSP征收管理,提高收集可发现,简化这一过程的调查,缓解MAST人员的工作负担,缩短时间框架发布HLSPs。这项工作也将有助于MAST人员更好地评估HLSP藏品的科学成果托管任务数据的影响。

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