CRI: CRD: Raising the Standard of Scientific Publishing Through an Experiment Archive

所有科学领域都以公开发表和永久存档的论文形式报告他们的研究结果。在一些领域，比如基因测序，科学界希望研究人员也能以标准格式在永久档案中公布他们的数据集。这个项目探索了科学出版的下一个步骤：捕捉和出版完全封装的整个实验，准备立即重播，并开放检查。任何人都可以检查、重复、扩展和重用实验和结果。这项计划拨款的重点是评估各种社区对这种“可重复播放实验的开放社区档案”的兴趣的广度和深度，以及它们的需求、可行性和关键设计问题。这种“活跃的图书馆”将以支持新的分析和基于计算机的系统的新执行的方式，直接将已发表的研究与其来源联系起来。这些档案将直接使许多研究和教育团体受益，并且它们的构建将涉及广泛的系统研究挑战。长期目标是建立一个包括计算机和计算科学家、教育工作者、图书馆员、出版商和专业协会在内的利益相关者联盟。这个项目的智力价值包括评估许多具有挑战性的问题，包括封装、虚拟化、大规模数据管理、用户界面以及科学文化和趋势。在更广泛的影响中，这样的档案有可能改变许多基于计算的研究的科学出版过程。

All scientific fields report their results in publicly published and permanently archived papers. In a few fields, such as genetic sequencing, the community expects researchers also to publish their data sets, in a standard format, in a permanent archive. This project explores the next step in scientific publishing: capturing and publishing entire experiments that are fully encapsulated, ready for immediate replay, and open to inspection. Experiments and results could be examined, repeated, extended, and reused-- by anyone.This planning grant focuses on assessing the breadth and depth of various communities' interest in such "open community archives of replayable experiments," and their requirements, feasibility, and key design issues. Such "active libraries" would directly connect published research to its sources in ways that support new analyses and new executions of computer-based systems. These archives would directly benefit many research and education communities, and their construction would involve a wide array of systems research challenges. A long-term goal is to build a coalition of stakeholders that includes computer and computational scientists, educators, librarians, publishers, and professional societies.The intellectual merit of this project includes assessing many challenging issues, including encapsulation, virtualization, large-scale data management, user interface, and scientific culture and trends. In broader impact, such archives have the potential to change the process of scientific publishing for much computation-based research.