SDCI Data: New Toolkit for Provenance Collection, Publishing, and Experience Reuse

OCI-SDCI数据：用于来源收集、发布和经验重用的新工具包随着通过计算科学实验创建的研究数字数据集合的激增，解决数据有效性和质量的来源问题变得越来越重要：记录和管理有关每个数据对象的来源、应用于数据产品的过程以及由谁创建的信息。这项工作的第一个结果是一个起源收集和经验重用工具，它对软件环境做出最小的假设，并对应用程序编写者施加最小的负担。它以适合发布到数字图书馆的形式存储和产生结果。来源收集系统是一个独立的系统，它对用户施加最小的负担，将其整合到他们的应用程序框架中，并且表现出良好的性能。这项工作的第二个成果是一个工作流程完成推荐系统，该系统使用基于案例的推理收集来源，以便向用户提出关于未来工作流驱动的调查的建议。工作流完成工具建立在基于案例的推理的计算机模型上，以开发利用来源系统用户的集体经验来提供建议的支持系统。作为有效评估该工具各方面的关键部分，这项工作建立了一个千兆字节的真实和人工来源信息基准数据库。真正的工作流程是从社区寻求的，为了测试的目的，对数据集进行了合成扩展，以实现完整性。该软件和数据库可供研究界使用。

OCI - SDCI Data: New Toolkit for Provenance Collection, Publishing, and Experience ReuseAs research digital data collections created through computational science experiments proliferate, it becomes increasingly important to address the provenance issues of the data validity and quality: to record and manage information about where each data object originated, the processes applied to the data products, and by whom. The first outcome of this work is a provenance collection and experience reuse tool that makes minimal assumptions about the software environment and imposes minimal burden on the application writer. It stores and produces results in a form suitable for publication to a digital library. The provenance collection system is a standalone system that imposes a minimal burden on users to integrate it into their application framework and it exhibits good performance. A second outcome of the work is a recommender system for workflow completion that employs case-based reasoning to provenance collections in order to make suggestions to users about future workflow-driven investigations. The workflow completion tool builds on computer models of case-based reasoning to develop a support system that leverages the collective experience of the users of the provenance system to provide suggestions. As a key part of effectively evaluating aspects of the tool, this work builds a gigabyte benchmark database of real and synthetic provenance information. Real workflows are sought from the community, with synthetic extensions to the data set for completeness for purposes of testing. The software and database are available to the research community.