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Sustainable long term scientific data publication: Lessons learned from a prototype Observatory Information System for the Illinois River Basin

机译:可持续的长期科学数据发布:从伊利诺伊河流域原型观测台信息系统中学到的经验教训

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In 2005 a prototype Observatory Information System (OIS) was developed for the Illinois River Basin Observatory (IRBO), connected to a federated scientific data network, populated with a representative collection of legacy datasets, and linked to external data streams. The perspective of seven years' time and the disestablishment of the system provide an opportunity to study the system life cycle. We detail best practices for multi-level OIS design for long-term performance, based on a publication-mandatory metadata implementation standard using ISO-19115. These principles balance general users' requirements against the requirements of specific scientific applications, and maximize the system's capacity to deal with legacy and heterogeneous data sources, enhancing long-term sustainability and flexibility for diverse multi-level user groups. These findings are relevant to ongoing developments of networked Scientific Information Systems that are increasingly critical to support and sustain the long-term benefits of modeling and observatory science.
机译:2005年,为伊利诺伊河流域天文台(IRBO)开发了原型天文台信息系统(OIS),该系统连接到联邦科学数据网络,并填充有代表性的旧数据集,并链接到外部数据流。七年的时间和系统的崩溃为研究系统生命周期提供了机会。我们基于使用ISO-19115的发布强制性元数据实施标准,详细介绍了用于长期性能的多级OIS设计的最佳实践。这些原则在一般用户的需求与特定科学应用程序的需求之间取得了平衡,并最大化了系统处理遗留和异构数据源的能力,从而增强了多层次用户群体的长期可持续性和灵活性。这些发现与网络科学信息系统的持续发展有关,而网络科学信息系统对于支持和维持建模和观测科学的长期利益变得越来越重要。

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